Senior Software Engineer, Digital Employee Experience
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own projects end-to-end and lead a team of software engineers. You'll build production web and mobile applications on the Databricks Platform, design data pipelines that ingest from many SaaS systems, and ship AI-powered integrations such as MCP servers and LLM features. You'll also work with stakeholders across the company, author design documents, and drive roadmap planning.
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or related field
- 5+ years of production software development experience with full-stack proficiency
- Strong experience with Python
- Experience deploying applications on AWS and/or Azure
- Hands-on data engineering experience building ETL/ELT pipelines
- Familiarity with CI/CD, IaC, and DevOps practices (GitHub Actions, Terraform, Docker)
- Experience with security and sensitive-data systems: identity management, access control, RBAC/RLS
- Strong communication skills
- Experience with AI/ML tooling, LLM integrations, prompt engineering, evals, and MCP servers
- Experience mentoring engineers
Responsibilities
- Design, build, and maintain production full-stack web and mobile applications used company-wide
- Build and own data pipelines that ingest, transform, and serve SaaS data into Databricks
- Architect authentication and authorization flows using Okta, OAuth, and service principals
- Build and deploy MCPs and contribute to AI-powered features including LLM-based classification and guardrails
- Design and manage CI/CD pipelines, Infrastructure as Code, and deployment automation
- Improve and enforce software engineering standards for the team
- Work with stakeholders across Security, Legal, HR, Finance, and Engineering to gather requirements
- Author design documents, PRDs, and architecture proposals
- Mentor contractors and junior engineers and drive project planning
- Drive roadmap planning for your domain
Benefits
- Eligibility for annual performance bonus
- Equity