Lead the design and implementation of scalable systems and services with significant technical and business impact.
Champion the use of AI tools in the development process — guiding adoption and best practices.
Identify opportunities to integrate AI into the product to improve customer outcomes and internal efficiency.
Partner with cross-functional and business stakeholders to define problem spaces and propose technical solutions.
Balance delivery with engineering quality, continuously raising the bar on code, systems, and architecture.
Set standards for testing within the team — ensuring all changes are fully validated through unit, integration, end-to-end, and manual testing.
Improve build health by working with DevOps to ensure deployment automation and test infrastructure in CI/CD workflows.
Lead with a security-first mindset — owning the integrity of systems handling sensitive data or business logic.
Requirements
Expertise in full-stack or backend development; familiarity with modern front-end stacks is a plus.
Proficient in one or more modern languages and frameworks (e.g., TypeScript, Java, Python, PHP), preferably Python and Typescript.
Deep experience with AWS; expected to design cloud-native systems, make architectural trade-offs, optimize for cost and scale, and guide team-wide adoption of cloud best practices.
Proven track record of leading complex technical projects and making architectural decisions.
Strong understanding of system design, distributed systems, and performance optimization.