Senior Principal Software Developer - Ic5

Oracle Oracle · Enterprise · Santa Clara, CA +1

Senior Principal Software Developer to design, build, and operate high-scale distributed systems and lead agentic-first development practices, working across product, infrastructure, data, security, and platform teams. The role involves setting technical direction, mentoring engineers, and applying AI/agent workflows including tool use, RAG, agent harnesses, evaluations, and AI observability.

What you'd actually do

  1. Lead the design, implementation, testing, and operation of high-scale distributed systems, APIs, services, data pipelines, and platform components.
  2. Own major initiatives end to end, from ambiguous requirements and architecture through rollout, observability, and production support.
  3. Architect for reliability, scalability, low latency, fault isolation, backpressure, graceful degradation, data consistency, and operational visibility.
  4. Raise engineering quality through automated testing, code review, CI/CD, deployment automation, incident follow-up, and documentation.
  5. Use agentic-first development practices to accelerate prototyping, debugging, refactoring, test generation, documentation, and delivery while maintaining human ownership.

Skills

Required

  • 10+ years of software engineering experience, including senior/staff-level ownership of production systems.
  • Strong programming ability in one or more languages such as Java, Python, Go, C++, Rust, or TypeScript.
  • Proven experience designing and operating distributed systems, cloud services, SaaS platforms, data systems, or infrastructure services at scale.
  • Deep knowledge of system design, APIs, data modeling, concurrency, asynchronous processing, failure modes, performance analysis, and production troubleshooting.
  • Experience with cloud platforms, containers, CI/CD, observability, automated testing, deployment automation, and operational readiness.
  • Hands-on use of AI-assisted and agentic development tools such as ChatGPT, Claude, Copilot, Cursor, or similar tools.
  • Practical experience with LLM patterns such as prompt engineering, RAG, tool use, agent frameworks, harnesses, evaluations, or workflow automation.
  • Working security knowledge across identity, access control, secure coding, dependency management, data privacy, and incident-aware engineering.
  • Strong communication skills, technical judgment, and ability to lead across teams without direct reporting authority.

Nice to have

  • Experience building high-scale, low-latency, high-availability, multi-tenant distributed systems and influencing architecture across teams.
  • Experience with agentic AI platforms, LLM evaluation, AI observability, guardrails, tool orchestration, or developer productivity tooling.
  • Experience in regulated, enterprise, healthcare, cloud infrastructure, data platform, or security-sensitive environments.

What the JD emphasized

  • high-scale distributed systems
  • agentic-first development practices
  • agentic AI platforms
  • LLM evaluation
  • AI observability
  • guardrails
  • tool orchestration
  • developer productivity tooling

Other signals

  • agentic-first development practices
  • Build or integrate AI/agent workflows
  • LLM patterns such as prompt engineering, RAG, tool use, agent frameworks, harnesses, evaluations, or workflow automation