- Sets technical direction for multiple squads; aligns architecture with product strategy and risk; drives platform leverage (design system, shared components, paved roads).

- Establishes org standards for reliability/observability/accessibility/security; leads complex migrations across AWS/Azure; steers GraphQL governance and event streaming patterns.

- Shapes AI engineering strategy & governance: evaluation frameworks, safety/guardrails, AI Gateway policies (quotas, routing, fallbacks), and GenAI telemetry conventions.

- Builds consensus and communicates clearly to technical & non?technical stakeholders; mentors Seniors/Staff; uplifts engineering culture.

- Champions customer obsession at portfolio level ties technical decisions to customer metrics and business outcomes.

Desired Skills and Qualifications :

Essential Expertise :

- Web Engineering: Demonstrated experience with React, Next.js, and TypeScript.

- Ability to build accessible user interfaces meeting WCAG 2.2 AA standards and familiarity with design systems.

- Services/APIs: Proficiency in .NET and/or Node.js, with a strong grasp of REST and GraphQL services. Skilled in API design, versioning, and schema governance.

- Testing: Hands-on practice with TDD and BDD methodologies, including unit, integration, end-to-end, and contract testing. Capable of performing non-functional testing focused on performance, reliability, and accessibility.

- CI/CD & Developer Experience: Experience creating and maintaining pipelines using GitHub Actions or Azure DevOps. Familiarity with feature flags, gradual rollout strategies, and producing clear documentation such as ADRs and runbooks.

- Observability & Operations: Skilled in monitoring metrics, logs, and traces using OpenTelemetry, as well as building dashboards and configuring alerts. Maintains an SLO/SLI mindset and is prepared for on-call responsibilities.

- Security & Privacy: Knowledge of secure coding practices, secrets management, and authentication/authorization fundamentals. Capable of addressing penetration testing findings.

- AI-Powered Development: Regular user of AI coding assistants (e.g., Copilot, Cursor) with understanding of prompt engineering fundamentals including verification and critique of AI-generated output.

Preferred Skills :

- Experience with event streaming technologies (Kafka, EventHub) and asynchronous programming patterns.

- Expertise in caching solutions such as Redis, and implementation of CDN/edge delivery patterns.

- Advanced data skills, including work with Aurora, PostgreSQL, pragmatic NoSQL databases, and experience in migrations and data modeling.

- Ability to deliver AI features, including prompting techniques, structured outputs (JSON schema), tool/function calling, and implementation of RAG/agentic patterns with evaluation and guardrails.

- Cloud and Infrastructure-as-Code proficiency with AWS/Azure, Docker, Kubernetes, Terraform, and Bicep, along with awareness of cost, latency, and error budgets.

- Experience in contract testing within CI environments, synthetic monitoring, accessibility audits, and performance budgeting.