Senior Software Engineer, Digital Employee Experience (AI)

Location: San Francisco, California, United States

Salary: $159,900–$219,900 USD per year, plus potential annual performance bonus, equity, and benefits.

Company

Databricks is a Data and AI company providing the Databricks Data + AI Platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Design, build, and maintain production full-stack web and mobile applications for procurement, employee experience, SaaS management, and leadership use cases.
• Build and own data pipelines ingesting, transforming, and serving structured and semi-structured data from SaaS systems into Databricks.
• Architect authentication and authorization flows using Okta, OAuth, service principals, RBAC, and RLS patterns.
• Build MCP servers and AI-powered features including LLM classification, data enrichment, prompt-based guardrails, and integrations with internal tools.
• Manage CI/CD, Infrastructure as Code, deployment automation, testing frameworks, and dev/staging/production environments.
• Lead roadmap planning, stakeholder management, design documentation, mentoring, delegation, and project delivery with minimal oversight.

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related field.
• 5+ years of production software development experience, including demonstrated proficiency across backend, frontend, and data.
• Strong production experience with Python and full-stack application development.
• Experience designing and deploying applications on AWS and/or Azure.
• Hands-on data engineering experience building ETL/ELT pipelines and working with structured and semi-structured data.
• Experience with CI/CD, IaC, and modern DevOps practices, including GitHub Actions, Terraform, and Docker.
• Experience with SaaS platforms or service-oriented architectures.
• Experience with security and sensitive-data systems, including identity management, access control, RBAC, and RLS.
• Strong communication skills, including writing design documents, presenting to cross-functional stakeholders, and explaining technical trade-offs to non-technical audiences.
• Experience with AI/ML tooling, LLM integrations, prompt engineering, evaluations, and MCP servers.
• Experience mentoring other engineers.

Nice to have

• Experience with the Databricks platform, including Unity Catalog, Delta Lake, Databricks Apps, or Workflows.
• Strong SQL proficiency.
• Familiarity with Okta, Opal, or Google Workspace.
• Experience building iOS or Android applications.
• Experience with SaaS management, procurement systems, or IT operations tooling.
• Background in data governance, schema design, access control, or data quality monitoring.
• Experience working with distributed teams across time zones.

Culture & Benefits

• High-autonomy, high-impact work with a startup mentality inside a scaled organization.
• Collaboration with Security, Legal, HR, Finance, and Engineering stakeholders.
• Comprehensive employee benefits and perks, with details varying by region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Compensation may include annual performance bonus, equity, and regional benefits.