Enterprise Applications Developer

Uber Uber · Consumer · San Francisco, CA +1 · Engineering

This role focuses on the development, configuration, and operational health of enterprise SaaS applications, with a specific emphasis on integrating and automating workflows using Enterprise AI applications like Gemini, ChatGPT, and Claude. The developer will act as a technical owner and escalation point for these applications, ensuring they run securely and efficiently at scale.

What you'd actually do

  1. Act as primary application developer and technical owner for enterprise SaaS applications including (but not limited to): Google Workspace, Zoom, Slack, Figma, Asana, Jira, Confluence, ServiceNow, Okta / Identity-integrated applications
  2. Manage application configuration, access models, permissions, integrations, and automation.
  3. Lead incident response for enterprise application outages or degradations.
  4. Design and implement automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP) to reduce manual effort and improve reliability.
  5. Analyze ticket and usage data to identify trends, systemic issues, and opportunities for optimization.

Skills

Required

  • Python
  • JavaScript
  • APIs
  • Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP)
  • Google Workspace
  • Zoom
  • Slack
  • Figma
  • Asana
  • Jira
  • Confluence
  • ServiceNow
  • Okta
  • Identity and access management (Okta, AD, SSO, SCIM)
  • Scripting or coding skills (Python, Bash, APIs)
  • SaaS platforms at scale with admin-level access
  • acting as an escalation point for complex technical issues
  • documentation, training, and communication skills
  • respond quickly to incidents and operate effectively in high-pressure situations
  • on-call rotations and work outside standard business hours

Nice to have

  • Java
  • SQL
  • BigQuery
  • Apache Hive
  • Enterprise Application Development or Software Engineering
  • data warehousing and querying large datasets (BigQuery, Hive)
  • version control systems (e.g., Git)
  • CI/CD tools
  • Linux environments
  • cloud platforms (e.g., GCP, AWS)
  • Tier 3 support
  • Bachelor's Degree in Computer Science
  • problem solving, organization, and project management skills
  • take initiative and work independently
  • Excellent verbal and written communication skills

What the JD emphasized

  • highest escalation point for complex application issues
  • highest level of access
  • complex, escalated L3 application issues
  • enterprise application outages or degradations
  • Enterprise AI applications

Other signals

  • enterprise SaaS applications
  • automation and integration workflows
  • Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP)