Staff Software Engineer (TypeScript)
Position Overview
As a Staff Software Engineer, you'll provide technical leadership, raise engineering standards, and help teams build secure, scalable SaaS products that leverage AI. This is a hands-on senior individual contributor role that combines direct implementation with broad technical leadership, often spanning teams or high-complexity domains.
You'll guide architecture, influence delivery across multiple teams, and help the engineering organization solve complex platform and product challenges with a strong focus on quality and resilience.
Key Responsibilities
Design and evolve robust cloud-native services and platforms, with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards
Partner closely with Product, Security, DevOps, and engineering leaders to align technical roadmaps with business priorities
Own open-ended technical problems, define both the what and the how, and help teams make sound tradeoffs through ambiguity
Establish and promote best practices for AI governance, observability, privacy, and operational controls within engineering workflows and production systems
Mentor engineers across teams, support hiring and onboarding, and raise the bar on delivery quality and the practical use of AI
Evaluate emerging technologies, frameworks, and tooling to improve developer productivity, system performance, and cost efficiency
Continuously reduce system and operational complexity by simplifying architectures, clarifying boundaries, and removing unnecessary technical friction for teams
Required Experience and Skills
7+ years of software development experience
Strong software design and coding fundamentals, primarily in TypeScript, with Python experience also relevant
Significant experience building on AWS, with service ownership across the software lifecycle
Background in cloud-native platform engineering, including infrastructure-as-code, CI/CD, observability, and security best practices
Meaningful experience with applied AI and agentic solutions, including model capabilities and tradeoffs, tool orchestration, retrieval-augmented patterns, responsible AI considerations, and cost-aware design
Comfortable communicating complex technical and AI-related concepts to diverse stakeholders
Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
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