Lead Software Engineer - Infrastructure Platforms

What you'll do

• Designs, develops, troubleshoots, reviews, and debugs production software; improves operational stability through automation.
• Sets strategy, standards, and guardrails for agentic AI-enabled engineering and applies SDLC tools to improve automation at scale.
• Evaluates technology and architecture options and leads Software Engineering communities of practice.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience with system design, application development, testing, and operational stability; advanced in one or more programming languages.
• Proficiency in automation, continuous delivery, and the Software Development Life Cycle; advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of financial services and their IT systems; practical cloud native experience; experience designing and scaling governed agentic AI-enabled development patterns.

Nice to have

• Experience in Infrastructure Architecture designs; AWS EKS or GCP GKE ecosystems.
• Knowledge of multiple Cloud Platforms and database technology such as Oracle / MS SQL / Cockroach.

Pay

Seattle, WA: USD 156,750.00-$215,000.00 base salary

Tools

AWS EKS, GCP GKE, Oracle, MS SQL, Cockroach, CI/CD

AI focus

Sets strategy and operating standards for agentic AI-enabled engineering, including AI-orchestrated SDLC/TLM automation, release readiness, incident triage, refactoring, and test modernization. Establishes governance for human-in-the-loop validation, traceability, security, resiliency, sensitive data handling, and measurable outcomes.