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RDQ427R369
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.
Our Developer Ecosystem organisation shapes how developers and the AI agents working for them build on the Databricks Data and AI Platform, from within the product to the tools they already use.
We are hiring an Engineering Manager to lead our declarative deployment framework, which turns data and AI projects into versioned, reviewable, repeatable software. It is one product with two entry points. Third-party developers use our open-source CLI from their IDEs, terminals, and CI/CD systems. First-party, they author, deploy and inspect the same projects inside the Databricks workspace. In both, AI agents increasingly do the work: coding agents drive the CLI, and our in-product AI assistant authors and deploys projects alongside the developer. Thousands of organisations run their CI/CD on it, and it is one of the fastest-growing parts of the platform.
The team owns the deployment engine and CLI, the in-workspace authoring and deployment experience, and the metadata service and deployment history that record every deployment. The hard problems are real infrastructure-as-code problems: reconciling declared and live state, making plans safe for humans and agents to approve, keeping visual authoring and code in sync, and shipping weekly releases that remain backwards-compatible for our largest customers.
The impact you will have:
- Lead and grow the team: Manage a team of senior engineers across three closely connected areas (the deployment engine and open-source CLI, the in-workspace authoring and deployment experience, and deployment history and metadata), working with strong tech leads. Hire, coach and promote, and grow engineers into tech leads.
- Make agentic development the default path: Shape how developers and AI agents author, validate and deploy projects, both inside the workspace and from the developer's own coding agent. Design the tools, skills and guardrails so agents get the same safety and auditability as humans.
- Own the strategy and roadmap: Partner with Product and Design to set a multi-quarter roadmap for declarative deployment: agentic development, governed deployments and deployment history, enterprise CI/CD, and new resource coverage. Make the trade-offs explicit when the demand is larger than the team.
- Raise the bar on execution and operational excellence: Run a predictable delivery process for a fast-moving, open-source product with frequent releases. Own reliability, on-call health, incident response and the quality bar for a tool customers depend on to ship to production.
- Treat backward compatibility as a product feature: Lead engine and configuration migrations without forcing customers through a flag day, and communicate change clearly to customers, the community and field teams.
- Lead across the platform: Drive alignment with the many platform teams whose resources and services the framework deploys, and with our sibling teams in Developer Ecosystem (SDKs, CLI, IaC provider, IDE). Make the whole toolchain feel like one product.
What we look for:
- 3+ years managing software engineering teams, and 8+ years of software engineering experience overall.
- A track record of building and shipping developer tools or platforms used by many external developers or internal teams, such as infrastructure-as-code, deployment or CI/CD systems, CLIs, SDKs, or internal developer platforms.
- A deep understanding of declarative systems and deployment workflows: plan/apply, state management, drift and reconciliation, environment promotion, GitOps.
- Enough technical depth to engage on architecture and trade-offs with senior and staff engineers, and to hold a high-quality bar for public, versioned interfaces.
- Experience leading teams through ambiguity, with competing priorities from customers, partners and platform dependencies, and making clear calls.
- Strong product sense and a customer-first mindset. You enjoy talking to developers, reading their issues, and turning feedback into roadmap.
- Excellent written and verbal communication, including with executives, partner teams and an external developer community.
Stand-out experience:
- Built or led teams on infrastructure-as-code or deployment platforms, e.g. Terraform, Pulumi, AWS CDK / CloudFormation, Kubernetes controllers, Argo CD / Flux / Helm, or Vercel / Netlify-style deploy platforms.
- Managed an open-source developer tool with an active community and a frequent release cadence.
- Shipped developer workflows for AI coding agents (CLI-first tooling, agent skills, MCP), or AI-assisted authoring.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&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 LinkedIn, X, YouTube, and Instagram.
Benefits
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 here.
Our Commitment to Diversity and Inclusion
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.
Compliance
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.
Skills Required
- 3+ years managing software engineering teams
- 8+ years of overall software engineering experience
- Experience building and shipping developer tools or platforms used by external developers or internal teams
- Deep understanding of declarative systems and deployment workflows, including plan/apply, state management, drift, reconciliation, environment promotion, and GitOps
- Technical depth to engage senior and staff engineers on architecture and trade-offs
- Experience leading teams through ambiguity and competing priorities
- Strong product sense and customer-first mindset
- Excellent written and verbal communication skills
- Experience with infrastructure-as-code or deployment platforms such as Terraform, Pulumi, AWS CDK, CloudFormation, Kubernetes controllers, Argo CD, Flux, or Helm
- Experience managing an open-source developer tool with an active community and frequent release cadence
- Experience shipping developer workflows for AI coding agents, agent skills, MCP, or AI-assisted authoring
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, and mental-health support with EAP and wellness stipends. Feedback suggests these offerings are a core strength across locations, though specifics may vary by region.
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Equity Value & Accessibility — Equity and annual bonuses are highlighted as competitive and a major draw, aligning employee success with company growth. Feedback suggests stock options are seen as lucrative, particularly for certain roles and incumbents.
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Leave & Time Off Breadth — Flexible/unlimited PTO and robust paid parental leave are called out as notable components of the package. Feedback suggests these policies support flexibility alongside performance expectations.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
