Staff Software Engineer (Product + Platform Development)
$180,000–$240,000 year
On-siteSeattle, Washington, United States
Job Summary
Embed with customer teams to understand workflows, pain points, and operational constraints, then build production-ready systems that solve real problems. Contribute to both the core platform and customer-specific integrations by building reusable capabilities, adapting them for deployment, and feeding field insights back into the product roadmap. Own delivery from prototype through production, including architecture, backend services, APIs, observability, and debugging across application, infrastructure, and data layers. Translate vague requirements into concrete technical plans while maintaining engineering discipline for secure, regulated environments. Work directly with engineers, product, and non-technical stakeholders to ensure solutions are reliable and auditable.
Required Qualifications
- 8+ years of software engineering experience
- strong foundation in building and shipping production-quality systems
- Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems
- Scalable system design experience
- Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems
- Ability to operate in ambiguous customer environments and turn unclear requirements into working software
- Strong technical communication skills with engineers, product teams, executives, and customer stakeholders
- High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements
- Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems
Desired Qualifications
- Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer, or founding/startup engineer
- Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices
- Familiarity with identity and access management, audit logging, data governance, and secure software delivery
- Experience building in environments with compliance, security, or operational constraints
- Comfort working in secure or regulated customer environments
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