Sr. Software Engineer (backend)

Pendo Pendo · Enterprise · Raleigh, NC · Engineering

This role is for a Sr. Software Engineer on the Core team, focusing on building platform capabilities for Pendo's product. The role involves feature ownership, production engineering, incident response, and technical collaboration. A key aspect is the active and curious use of AI tools in the daily development workflow, aiming to improve productivity and raise the bar for AI usage within the team. The role requires strong backend engineering skills, experience with cloud platforms, and a track record of delivering customer-facing SaaS features.

What you'd actually do

  1. Own complex, ambiguous features end-to-end by structuring work into small, independently shippable increments. Drive delivery with clarity, strong judgment, and accountability for customer and system impact.
  2. Write production-ready code and define testing approaches based on risk and system impact. Use safe rollout patterns to reduce risk and enable incremental delivery.
  3. Respond quickly when production issues arise in your area. Resolve issues and drive follow-up improvements that prevent recurrence.
  4. Use AI tools as a core part of your daily workflow for code generation, debugging, test writing, and task decomposition. Help raise the bar for how the team uses AI in development workflows.
  5. Deliver actionable code reviews, accurate documentation, and constructive contributions to technical discussions and planning sessions. Help teammates make better decisions through clear, direct input.

Skills

Required

  • 5+ years of experience as a Software Engineer
  • track record of delivering customer-facing SaaS product features in a production environment
  • Demonstrated ability to break ambiguous work into small, deliverable increments and move it forward independently despite ambiguity
  • Strong proficiency in one or more backend languages, including Go, Java, Python, or C++
  • Deep understanding of scalable web architecture, API design, and performance optimization
  • Experience with cloud platforms, including AWS or GCP
  • Experience with both SQL and NoSQL databases
  • Experience designing and writing unit, integration, and end-to-end tests, with a clear sense of when and how to apply each
  • Familiarity with safe deployment and rollout patterns, including feature flags and canary releases
  • Active use of AI tools as part of your software development workflow
  • Strong communication, collaboration, and cross-functional partnership skills
  • Bachelor's degree in Computer Science or equivalent experience

Nice to have

  • Experience improving team-level tooling, processes, or developer workflows beyond your immediate feature work
  • Experience mentoring or leveling up engineers around you through code review or technical documentation
  • Contributions to shared platform capabilities used across multiple product areas

What the JD emphasized

  • Active use of AI tools as part of your software development workflow
  • 5+ years of experience as a Software Engineer, with a track record of delivering customer-facing SaaS product features in a production environment
  • Demonstrated ability to break ambiguous work into small, deliverable increments and move it forward independently despite ambiguity