Staff Software Engineer

Overview

Staff Software Engineer (E4/Staff) responsible for end-to-end technical ownership of major features and platform components, from architecture to operation. Works as an engineering leader across team boundaries and drives delivery of scalable, maintainable cloud-native systems.

What you'll do

• Lead end-to-end technical ownership of major features and platform components, covering architecture, design, implementation, testing, deployment, and operation.
• Architect scalable, maintainable cloud-native services that can evolve with product requirements and user load.
• Integrate AI tools throughout the development workflow for coding, testing, code review, and documentation.
• Collaborate with product managers, designers, data scientists, and peer engineers to translate requirements into technical solutions.
• Write design documents and participate in architectural reviews with critical technical feedback.
• Identify and address technical debt, performance bottlenecks, and reliability gaps proactively.
• Mentor mid-level engineers via code reviews, design walkthroughs, pairing sessions, and improve team processes and on-call practices.

What you'll need

• 10+ years of software engineering experience, including at least 2 years in a staff-level role or at that scope.
• Deep expertise in at least one area: backend systems, platform engineering, cloud infrastructure, data engineering, or AI/ML integration.
• Proven history of designing and shipping complex software systems end-to-end that other teams depend on.
• Strong debugging and troubleshooting skills with ability to root-cause production problems under pressure.
• Solid breadth across microservices, APIs, relational and non-relational databases, event streaming, cloud platforms, and container orchestration.
• Hands-on with Kubernetes, Helm, Terraform, and modern CI/CD tooling (e.g., GitHub Actions, ArgoCD, or equivalent).
• Working knowledge of observability practices including distributed tracing, structured logging, and SLO/SLA-based alerting (e.g., Datadog, OpenTelemetry, Prometheus).

Nice to have

• Experience in automation, workflow, or enterprise software.
• Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen) or multi-agent system design.
• Experience building developer-facing platforms, SDKs, or internal tooling.
• Open-source contributions or public technical writing.

Details