Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

databricks

<p data-pm-slice="1 1 []">RDQ327R179</p>
<p data-renderer-start-pos="1648">While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered.</p>
<h3><strong>About the Team</strong></h3>
<p>The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection &amp; Response, Threat Intelligence, Vulnerability &amp; Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably.</p>
<p>We leverage AI to transform how security is done.</p>
<h3><strong>The Role</strong></h3>
<p>As a <strong>Senior Staff Security Software Engineer</strong> on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform.</p>
<p>You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure.</p>
<p>You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona.</p>
<h3><strong>The Impact You Will Have</strong></h3>
<p data-renderer-start-pos="2729"><strong>Shared Security AI Platform Architecture</strong></p>
<ul>
<li>Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows.</li>
<li>Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, and rollback.</li>
<li>Set engineering standards for reliability, observability, evaluation, incident response, cost instrumentation, and safe production deployment.</li>
<li>Make high-leverage build, buy, and adopt decisions that keep the platform focused on security-specific capabilities while using Databricks platform primitives wherever they meet the need.</li>
<li>Design the platform to support secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration.</li>
</ul>
<p data-renderer-start-pos="2729"><strong>Reliable and Safe Agentic Systems at Scale</strong></p>
<ul>
<li>Lead the design and development of production-grade platform capabilities that enable security personas to operate reliably across a growing AI and security surface.</li>
<li>Define how the platform measures successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value.</li>
<li>Establish qualification and maturity mechanisms that determine what a security persona may do, what controls it requires, and how it earns additional autonomy.</li>
<li>Drive technical solutions for high-risk workflows, including offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution.</li>
<li>Improve the velocity of safe AI development without compromising security, governance, or operational reliability.</li>
</ul>
<p data-renderer-start-pos="2729"><strong>Cross-Organizational Technical Leadership</strong></p>
<ul>
<li>Serve as a technical authority for the shared Security AI platform across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and other partner functions.</li>
<li>Align engineering and security leaders on platform direction, architectural tradeoffs, adoption priorities, and standards for safe agentic systems.</li>
<li>Partner with AI Champions and domain teams to turn recurring cross-functional needs into reusable platform capabilities.</li>
<li>Represent the platform in architecture reviews and technical decisions involving agent identity, isolation, policy, observability, evaluation, orchestration, and secure integration.</li>
<li>Drive adoption of common platform patterns and retire duplicated or inconsistent implementations across security teams.</li>
</ul>
<p data-renderer-start-pos="2729"><strong>Mentorship and Team Capability</strong></p>
<ul>
<li>Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership.</li>
<li>Lead high-rigor design reviews and raise the bar for reliability, operability, security, and maintainability.</li>
<li>Help establish a culture of measurable outcomes, disciplined evaluation, safe experimentation, and continuous improvement.</li>
<li>Influence technical direction beyond the immediate team through clear written proposals, architecture reviews, and cross-functional execution.</li>
</ul>
<h3><strong>What We Look For</strong></h3>
<ul>
<li><strong>10+ years</strong> of progressive experience in software engineering, security platform architecture, or systems security, with a proven track record of operating at an <strong>L7/Senior Staff level</strong> at a major cloud, platform, or high-growth tech company.</li>
<li><strong>Production Systems Engineering:</strong> Exceptional fluency in Python and modern cloud-native systems architecture (Kubernetes, distributed streaming/storage, high-throughput microservices) with experience delivering fault-tolerant, low-latency security infrastructure.</li>
<li><strong>Multi-Org Architectural Execution:</strong> Demonstrated ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and successfully ship multi-quarter architectural transformations.</li>
<li>Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, adversarial testing, identity and authorization, data protection, and secure deployment of AI-enabled systems.</li>
<li>Experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data.</li>
<li>Strong technical communication skills, including the ability to explain complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives.</li>
<li>A track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines.</li>
</ul>
<h3><strong>Nice to Have</strong></h3>
<ul>
<li>Experience building secure agent platforms, developer platforms, security control planes, or internal infrastructure used by multiple teams.</li>
<li>Experience with MLOps, AI serving infrastructure, security data platforms, detection systems, or large-scale security automation.</li>
<li>Published research, patents, or recognized contributions in adversarial ML, AI safety frameworks, or open-source security platforms.</li>
<li>Hands-on experience building or securing large-scale LLM training pipelines, vector databases, or AI agent runtime environments.</li>
<li>Deep understanding of emerging global AI regulatory technical requirements (EU AI Act, NIST AI RMF) and how to encode them into engineering primitives.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$228,600</span><span class="divider">&mdash;</span><span>$314,250 USD</span></div></div><div class="pay-input"><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$205,700</span><span class="divider">&mdash;</span><span>$282,800 USD</span></div></div><div class="pay-input"><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$194,200</span><span class="divider">&mdash;</span><span>$267,100 USD</span></div></div><div class="pay-input"><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$182,900</span><span class="divider">&mdash;</span><span>$251,450 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Sr. Staff Security Software Engineer - Agentic Security Engineering

<p data-pm-slice="1 1 []">RDQ427R586</p>
<p>At Databricks, we are delivering Data &amp; AI for enterprises &amp; startups around the world. Our <strong>Lakehouse and Lakebase products</strong> are at the forefront of enabling customers to get more value from their data.&nbsp; Read this seminal blog from Databricks co-founders on <a href="https://www.databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html">What is a Lakehouse</a> and <a href="https://www.databricks.com/blog/what-is-a-lakebase">A New Era of Databases: Lakebase</a>.&nbsp;</p>
<p>We're looking for a <strong>passionate, strategic, and customer-obsessed Product Manager</strong> to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder.&nbsp;</p>
<h3><strong>Why Join Us?</strong></h3>
<ul>
<li><strong>Be a Game-Changer:</strong> Work on a cutting-edge product that transforms how companies handle <strong>big data and AI-driven analytics</strong>.</li>
<li><strong>Massive Impact:</strong> Help enterprises make <strong>faster, smarter</strong> decisions with a <strong>lakehouse architecture</strong> that breaks silos.</li>
<li><strong>Hyper-Growth Environment:</strong> Join a <strong>fast-paced, collaborative team</strong> where your ideas directly shape the future.</li>
<li><strong>Customer-Centric Innovation:</strong> Build features that solve real problems for data analysts, engineers, and business leaders worldwide.</li>
</ul>
<h3><strong>The impact you will have:</strong></h3>
<ul>
<li>Own and define the <strong>product vision, strategy, and roadmap</strong> for Databricks SQL</li>
<li>Work closely with <strong>engineering, design, sales, and marketing</strong> to launch new features and drive adoption.</li>
<li>Engage directly with <strong>customers and partners</strong> to understand their needs and prioritize high-impact solutions.</li>
<li>Drive <strong>competitive differentiation</strong> and positioning in the cloud data warehouse market.</li>
<li>Collaborate with <strong>leadership</strong> to align product initiatives with business goals.</li>
<li>&nbsp;Use <strong>data-driven insights</strong> to measure success, iterate, and improve user experience.</li>
</ul>
<h3><strong>What we look for:</strong></h3>
<ul>
<li><strong>5+ years</strong> of product management experience (preferably in cloud, analytics, or data platforms).</li>
<li>Ability to break down complex problems into <strong>simple, scalable</strong> solutions.</li>
<li>Strong sense of <strong>ownership</strong>—you thrive in ambiguity and love solving hard problems</li>
<li>&nbsp;Experience working with <strong>engineers and designers</strong> to ship high-impact products.</li>
<li>Exceptional communication and storytelling skills to inspire teams and stakeholders.</li>
<li>It is not necessary but good to have understanding of <strong>Databases</strong>, <strong>SQL, data warehousing, BI, and analytics use cases</strong>.</li>
</ul>
<h3><strong>Ready to Build the Future?</strong></h3>
<p>If you're excited about shaping the next evolution of <strong>data warehousing and analytics</strong>, we’d love to hear from you! Apply today and let’s build something incredible together.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$156,600</span><span class="divider">&mdash;</span><span>$215,250 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$148,800</span><span class="divider">&mdash;</span><span>$204,525 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$133,100</span><span class="divider">&mdash;</span><span>$182,975 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Sr. Product Manager, Lakebase

<p data-pm-slice="1 1 []">RDQ427R586</p>
<p>At Databricks, we are delivering Data &amp; AI for enterprises &amp; startups around the world. Our <strong>Lakehouse and Lakebase products</strong> are at the forefront of enabling customers to get more value from their data.&nbsp; Read this seminal blog from Databricks co-founders on <a href="https://www.databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html">What is a Lakehouse</a> and <a href="https://www.databricks.com/blog/what-is-a-lakebase">A New Era of Databases: Lakebase</a>.&nbsp;</p>
<p>We're looking for a <strong>passionate, strategic, and customer-obsessed Product Manager</strong> to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder.&nbsp;</p>
<h3><strong>Why Join Us?</strong></h3>
<ul>
<li><strong>Be a Game-Changer:</strong> Work on a cutting-edge product that transforms how companies handle <strong>big data and AI-driven analytics</strong>.</li>
<li><strong>Massive Impact:</strong> Help enterprises make <strong>faster, smarter</strong> decisions with a <strong>lakehouse architecture</strong> that breaks silos.</li>
<li><strong>Hyper-Growth Environment:</strong> Join a <strong>fast-paced, collaborative team</strong> where your ideas directly shape the future.</li>
<li><strong>Customer-Centric Innovation:</strong> Build features that solve real problems for data analysts, engineers, and business leaders worldwide.</li>
</ul>
<h3><strong>The impact you will have:</strong></h3>
<ul>
<li>Own and define the <strong>product vision, strategy, and roadmap</strong> for Databricks SQL</li>
<li>Work closely with <strong>engineering, design, sales, and marketing</strong> to launch new features and drive adoption.</li>
<li>Engage directly with <strong>customers and partners</strong> to understand their needs and prioritize high-impact solutions.</li>
<li>Drive <strong>competitive differentiation</strong> and positioning in the cloud data warehouse market.</li>
<li>Collaborate with <strong>leadership</strong> to align product initiatives with business goals.</li>
<li>&nbsp;Use <strong>data-driven insights</strong> to measure success, iterate, and improve user experience.</li>
</ul>
<h3><strong>What we look for:</strong></h3>
<ul>
<li><strong>5+ years</strong> of product management experience (preferably in cloud, analytics, or data platforms).</li>
<li>Ability to break down complex problems into <strong>simple, scalable</strong> solutions.</li>
<li>Strong sense of <strong>ownership</strong>—you thrive in ambiguity and love solving hard problems</li>
<li>&nbsp;Experience working with <strong>engineers and designers</strong> to ship high-impact products.</li>
<li>Exceptional communication and storytelling skills to inspire teams and stakeholders.</li>
<li>It is not necessary but good to have understanding of <strong>Databases</strong>, <strong>SQL, data warehousing, BI, and analytics use cases</strong>.</li>
</ul>
<h3><strong>Ready to Build the Future?</strong></h3>
<p>If you're excited about shaping the next evolution of <strong>data warehousing and analytics</strong>, we’d love to hear from you! Apply today and let’s build something incredible together.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$156,600</span><span class="divider">&mdash;</span><span>$215,250 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$148,800</span><span class="divider">&mdash;</span><span>$204,525 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

<p>P-67</p>
<p>At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.</p>
<p>Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.</p>
<p>Below are some example teams you can join:</p>
<p><strong>SQL Analytics Console: </strong>SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.</p>
<p><strong>Jobs and Workflows: </strong>This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills &amp; projects.</p>
<p><strong>Developer Ecosystem:</strong> The developer ecosystem team focuses on the development experience and best practices using tools<strong> </strong>outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.</p>
<p><strong>What we look for:</strong></p>
<ul>
<li>BS/MS/PhD in Computer Science, or a related field</li>
<li>7+ years of experience with HTML, CSS, and JavaScript</li>
<li>Passion for user experience and design and a deep understanding of front-end architecture</li>
<li>Comfortable working towards a multi-year vision with incremental deliverables</li>
<li>Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)</li>
<li>Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)</li>
<li>Good knowledge of SQL</li>
<li>Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes</li>
<li>Experience in architecting, developing, deploying, and operating large scale distributed systems</li>
</ul>
<p>&nbsp;</p><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Sr. Software Engineer (L5) - Distributed Data Systems

<p>P-1601</p>
<p>At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.</p>
<p>As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company.</p>
<p>We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days.&nbsp;</p>
<p><strong>The impact you will have:</strong></p>
<ul>
<li>Work with a team to build features for the Databricks platform</li>
<li>Manage your project end-to-end, including design, code, and feedback</li>
<li>Learn about building a platform that scales quickly while maintaining quality and security</li>
</ul>
<p><strong>What we look for:</strong></p>
<ul>
<li>You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject</li>
<li>You have implementation skills with a general purpose program language, such as Python, Java, or C++</li>
<li>You have good knowledge of algorithms, data structures, and OOP principles</li>
<li>You are excited to solve ambiguous problems with a collaborative team</li>
</ul>
<p>This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program.</p><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Software Engineering Intern (2027 Start) - London

<h3>P-78</h3>
<p>At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.</p>
<p>The filesystem has emerged as the preferred runtime interface for agentic AI. AI agents use the filesystem for context, memory management, artifact (dashboard, code etc) authoring, version control, sandboxing, and interacting between systems and agents. It is the foundational layer to accelerate AI adoption</p>
<p>As a Senior Software Engineer on the Files team, you will innovate at the intersection of storage, performance, and distributed systems, directly shaping our filesystem strategy to power next-generation agentic workloads.</p>
<h2>The Impact You’ll Have</h2>
<ul>
<li>Design, build, and operate the the filesystem platform powering tens of thousands of data, AI and agentic workloads daily</li>
<li>Push filesystem performance for the most demanding workloads — profiling and optimizing across the stack, from the API layer down to the Linux kernel</li>
<li>Partner with teams across the platform to design and evolve next-generation compute and storage architectures</li>
<li>Set the technical direction for how content is organized across Databricks, standardizing around filesystem primitives that apply to every product surface</li>
</ul>
<h2>What We’re Looking For</h2>
<ul>
<li>Bachelor's degree (or higher) in Computer Science or a related field</li>
<li>5+ years of production-level experience in Java, Scala, C++, Go, Rust, or a similar language</li>
<li>3+ years of experience developing large-scale distributed systems</li>
<li>Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP).</li>
<li>You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale.</li>
<li>Experience with filesystems and FUSE</li>
<li>Experience building object/blob storage (S3, Azure Blob Storage, GCS etc)</li>
<li>Systems performance engineering across microservices, down to the Linux level</li>
<li>Background in high-scale content, storage, or file-sync products</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$166,000</span><span class="divider">&mdash;</span><span>$225,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Senior Software Engineer — Backend (Files Team)

<p>P-1453</p>
<p>At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.</p>
<p>As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog,<strong> </strong>Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 APM cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.</p>
<p>We are hiring for Amsterdam, Belgrade and Berlin.</p>
<p><strong>The impact you will have:</strong></p>
<ul>
<li>Deeply understand customer problem space and establish the rails for viable solution space</li>
<li>Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build</li>
<li>Work with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform</li>
<li>Own your project end-to-end — design, build, launch, and iterate on feedbackManage your project end-to-end, including design, code, launch and feedback</li>
<li>Build with scale, quality, and security in mind from day oneLearn about building a platform that scales quickly while maintaining quality and security</li>
</ul>
<p><strong>What we look for:</strong></p>
<ul>
<li>You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice</li>
<li>Pursuing a bachelor's or master's in computer science or a related engineering field</li>
<li>You've used AI tooling for both personal productivity and development projects</li>
<li>You have some first hand experience with SQL and/or Python</li>
<li>You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer</li>
<li>You use analytical skills to make data-driven decisions (e.g. analyzing product usage)</li>
<li>You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form</li>
<li>You're excited to solve ambiguous problems with a collaborative team</li>
<li>You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched</li>
</ul><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Product Manager, New Grad (2026) - Belgrade

<p data-pm-slice="1 1 []">GAQ327R265</p>
<p><strong>About the Role</strong></p>
<p>At Databricks Information Technology, we are a product-led organisation transforming the way we work, from how easy it is to use our IT services to the applications we develop to help us scale seamlessly amid incredible growth.</p>
<p>As an <strong>IT Software Engineer (Infrastructure)</strong>, you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimised, secure, and highly available.</p>
<p data-renderer-start-pos="1648"><strong data-renderer-mark="true">The impact you will have:</strong></p>
<ul>
<li><strong>Automate:</strong> Develop and deploy production-grade infrastructure on cloud platforms (AWS preferred) using Infrastructure as Code tools like Terraform or Pulumi.</li>
<li><strong>Orchestration:</strong> Deploy, manage, and scale containerised workloads using Kubernetes (EKS/AKS), focusing on security, reliability, and resource efficiency.</li>
<li><strong>CI/CD Excellence:</strong> Build and maintain robust deployment pipelines using GitHub Actions, including both cloud-hosted and self-hosted runners for specialised build requirements.</li>
<li><strong>Drive "Observable by Default" Frameworks:</strong> Implement infrastructure standards to ensure new internal applications are secure, with logging, metrics, and tracing configured out of the box.</li>
<li><strong>Tooling, Scripting &amp; AI:</strong> Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows and reduce manual toil.</li>
<li><strong>Partner Cross-Functionally:</strong> Collaborate with Security, Engineering, Infrastructure, and Support teams to execute technical projects aligned with business outcomes.</li>
<li><strong>Document &amp; Knowledge Share:</strong> Participate in peer code reviews, maintain operational playbooks/failure triage guides, and help onboard team members onto platforms you maintain.</li>
</ul>
<p data-renderer-start-pos="2367"><strong data-renderer-mark="true">What we look for:</strong></p>
<ul>
<li><strong>Software Engineering Expertise:</strong> 3–5 years of hands-on software engineering experience, with strong proficiency in Python for scripting, automation, and tooling (required).</li>
<li><strong>Infrastructure as Code (IaC):</strong> Solid working knowledge of Terraform (modules, state management) or Pulumi (preferred).</li>
<li><strong>Cloud &amp; Containerization:</strong> Hands-on experience building and supporting production workloads in AWS (or Azure/GCP), along with Kubernetes and Docker fundamentals.</li>
<li><strong>CI/CD &amp; Automation:</strong> Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar modern CI/CD tools.</li>
<li><strong>Observability Foundations:</strong> Practical understanding of observability pillars (logging, metrics, tracing) and hands-on experience integrating tools such as Datadog, Prometheus, or Grafana.</li>
<li><strong>Independent Execution:</strong> Proven ability to own end-to-end tasks with guidance from Tech Leads, breaking down broader technical goals into actionable technical solutions.</li>
</ul><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

IT Software Engineer, Infrastructure

<h1>Staff Software Engineer - Agent Quality</h1>
<h4>P-1567</h4>
<p>At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.</p>
<p>The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.&nbsp;</p>
<p>As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.</p>
<h2>The impact you will have</h2>
<ul>
<li>Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.</li>
<li>Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.</li>
<li>Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.</li>
<li>Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.</li>
</ul>
<h2>What we look for</h2>
<ul>
<li>6+ years industry experience building software systems</li>
<li>Strong Python programming skills, with experience building production or research infrastructure</li>
<li>Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity</li>
<li>Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications</li>
<li>Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms</li>
<li>A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams</li>
</ul>
<h2>Nice to have</h2>
<ul>
<li>Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure</li>
<li>Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$265,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

Staff Software Engineer, Agent Quality

<p data-pm-slice="1 1 []">RDQ427R587</p>
<p>At Databricks, we are passionate about helping data teams solve the world's toughest problems,&nbsp; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform protected by the highest standards of security and compliance. Nowhere are those standards higher than in the US public sector.</p>
<p>As the Product Manager for US Public Sector, you will own the roadmap that brings the Databricks Data Intelligence Platform to every tier of the US Government mission, from federal civilian agencies and state and local governments to the Department of Defense and the Intelligence Community. Your surface spans the full accreditation spectrum: FedRAMP on commercial clouds, the sovereign AWS GovCloud and Azure Government regions, and classified environments up to Top Secret.</p>
<p>You will define the product strategy to identify, prioritize, and sequence where Databricks should invest next. As the voice of the government customer inside Databricks, you will shape and influence roadmaps across R&amp;D so that our latest Data and AI innovations reach mission owners without compromising on security or sovereignty. You will partner cross-functionally with R&amp;D, security, legal, GTM, and support teams, and directly with the public-sector field team, to enable adoption across the most demanding regulated environment in the world, empowering government customers to focus on their mission while relying on Databricks to meet the bar.</p>
<p><strong>The impact you will have</strong></p>
<ul>
<li>Own the US public-sector product offerings end to end — from FedRAMP on commercial clouds, to AWS GovCloud and Azure Government, to DoD Impact Levels and classified environments. </li>
<li>Design new features, and adapt existing ones, to meet the specific needs of the US Government and its regulated environments.</li>
<li>Ensure compliance and authorization processes scale with Databricks’ rapid growth and with each new region and impact level.</li>
<li>Launch public-sector offerings in close partnership with GTM and the public-sector field teams to accelerate adoption of Databricks’ Data and AI capabilities across federal, defense, Intelligence Community, and State, Local and Education customers.</li>
<li>Partner with the Security Assurance, Corporate Operations, Sales and Engineering teams to define the company-wide public-sector compliance roadmap across all clouds, prioritizing and sequencing the authorizations (FedRAMP, DoD Impact Levels, and beyond) that open new government markets.</li>
<li>Partner with cloud providers to coordinate product launches and obtain capabilities needed to support regulated customers.</li>
</ul>
<p><strong>What we look for</strong></p>
<ul>
<li>Product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.</li>
<li>Proven ability to lead customer conversations, write PRDs, define success metrics, prioritize features, and guide engineering and design execution</li>
<li>Domain expertise in the US public-sector compliance and accreditation — e.g., FedRAMP, DoD Impact Levels (IL4/5/6), and NIST 800-53 — and with government cloud (AWS GovCloud, Azure Government) or classified deployments</li>
<li>Experience launching enterprise products and driving adoption in large, complex organizations — ideally including US Government or other highly regulated customers</li>
<li>Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.</li>
<li>US citizenship and ability to obtain and hold a security clearance</li>
<li>[Preferred] Active US security clearance (i.e. Top Secret, or TS/SCI)&nbsp;</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$181,700</span><span class="divider">&mdash;</span><span>$249,800 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$172,600</span><span class="divider">&mdash;</span><span>$237,325 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p>&nbsp;</p></div><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$154,400</span><span class="divider">&mdash;</span><span>$212,300 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

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