Databricks

<p>RDQ327R179</p>
<p>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><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><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><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><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><div><div><p> </p>
<p><strong>Pay Range Transparency</strong></p>
<p><span>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.  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" rel="noopener noreferrer ugc" target="_blank">here</a>.<br /></span></p>
<p> </p></div><div>Zone 1 Pay Range</div><div><span>$228,600</span><span>—</span><span>$314,250 USD</span></div></div><div><div>Zone 2 Pay Range</div><div><span>$205,700</span><span>—</span><span>$282,800 USD</span></div></div><div><div>Zone 3 Pay Range</div><div><span>$194,200</span><span>—</span><span>$267,100 USD</span></div></div><div><div>Zone 4 Pay Range</div><div><span>$182,900</span><span>—</span><span>$251,450 USD</span></div></div></div><div><p><strong>About Databricks</strong></p>
<p><span>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" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank">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>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 Staff Security Software Engineer - Agentic Security Engineering

<p>GAQ427R224</p>
<p>We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks.</p>
<p>You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks.</p>
<h3><strong>What you will do</strong></h3>
<ul>
<li>Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes.</li>
<li>Maintain MCP servers across our AI tools portfolio.</li>
<li>Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows.</li>
<li>Ground agents<strong> </strong>in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc).</li>
<li>Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences.</li>
<li>Instrument AI automations with logs, metrics, and feedback loops.</li>
<li>Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling.</li>
<li>Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on.</li>
<li>Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production.</li>
<li>Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural decisions.</li>
</ul>
<h3><strong>What we are looking for</strong></h3>
<ul>
<li>Proficiency in Python or Go [3yrs].</li>
<li>Experience with Git-based development, automated testing, and CI/CD.</li>
<li>Strong experience with REST APIs, OAuth2/authentication frameworks, event-driven integrations, and enterprise system integrations.</li>
</ul>
<ul>
<li>Shipped production LLM-powered applications or AI agents.</li>
<li>Experience with agent patterns: tool/function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition.</li>
<li>Understanding of LLM failure modes: hallucination, incorrect tool use, ambiguous intent, prompt injection, excessive permissions, and non-deterministic behavior.</li>
<li>Experience evaluating and improving AI systems using automated evals, traces, test datasets, human feedback, or similar approaches.</li>
</ul>
<ul>
<li>Ability to translate ambiguous employee friction problems into simple, reliable technical solutions.</li>
<li>Strong judgment around security, privacy, least privilege, and safe automation in an enterprise environment.</li>
<li>Strong collaboration and communication skills. You will work cross-functionally to plan, design, and implement automation together.</li>
<li>Experience with automation or integration platforms (Tines, MuleSoft, Workato, etc.).</li>
<li>Experience with MCP (Model Context Protocol) server development.</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Experience building agents on Databricks (Agent Bricks) or with frameworks such as OpenAI Agents SDK or LangGraph/LangChain.</li>
<li>Experience with MLflow tracing/evaluation, vector search, and LLM observability.</li>
<li>Experience integrating IT platforms: Okta/Microsoft Entra ID, Google Workspace, Jira, Slack, Jamf, GitHub, Workday, or SaaS administration APIs.</li>
<li>Familiarity with identity lifecycle, access management, device management, and software provisioning.</li>
</ul><div><p><strong>About Databricks</strong></p>
<p><span>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" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank">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>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>

AI Automation Engineer

<p>P-1325</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>Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our  cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. </p>
<p><strong>What we look for:</strong></p>
<ul>
<li>BS (or higher) in Computer Science, related technical field or equivalent practical experience.</li>
<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>
<li>Motivated by delivering customer value and impact.</li>
<li>8+ years of production level experience in either Java, Scala or C++.</li>
<li>Experience with low level systems (OS, network stacks, CPU optimizations).</li>
<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>
<li>Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).</li>
</ul><div><p><strong>About Databricks</strong></p>
<p><span>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" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank">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>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 - Storage I/O

<p>P-1324</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>Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our  cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. </p>
<p><strong>What we look for:</strong></p>
<ul>
<li>BS (or higher) in Computer Science, related technical field or equivalent practical experience.</li>
<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>
<li>Motivated by delivering customer value and impact.</li>
<li>5+ years of production level experience in either Java, Scala or C++.</li>
<li>Experience with low level systems (OS, network stacks, CPU optimizations).</li>
<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>
<li>Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).</li>
</ul><div><p><strong>About Databricks</strong></p>
<p><span>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" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank">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>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 - Storage I/O

<h2>Staff Software Engineer - Agent Quality</h2>
<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. </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><div><div><p> </p>
<p><strong>Pay Range Transparency</strong></p>
<p><span>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.  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" rel="noopener noreferrer ugc" target="_blank">here</a>.<br /></span></p>
<p> </p></div><div>Local Pay Range</div><div><span>$200,000</span><span>—</span><span>$265,000 USD</span></div></div></div><div><p><strong>About Databricks</strong></p>
<p><span>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" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank">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>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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