• Provide hands-on technical leadership across our web platform and digital experience ecosystem • Design, build, and evolve scalable full-stack solutions that power high-quality customer experiences • Operate as a senior technical leader within the team, partnering with engineering managers, product managers, architects, XD, platform teams, and partner engineering teams • Lead the design and delivery of complex full-stack solutions across frontend, backend, API, and platform integration layers • Provide architectural direction for scalable, maintainable, secure, and high-performing web applications • Drive technical decisions across multiple services, repositories, and shared components • Ensure solutions are production-ready, focusing on scalability, performance, reliability, accessibility, localization, security, and maintainability • Promote consistent engineering practices across repositories and teams • Mentor senior and mid-level engineers through design reviews, code reviews, technical discussions, and delivery execution

• Build and maintain the Structured Record Access API layer: the abstraction between engineering teams and the managed Postgres and DynamoDB fleet across all production regions • Implement and operate Kafka-based semantic event emission from the SRS abstraction layer, replacing raw CDC stream consumption downstream • Contribute to the schema catalog and runtime connection management service, giving teams consistent metadata access without environment-specific configuration • Write code-first schema migrations with mandatory test coverage and validated rollback, deployed via the database platform API • Build developer tooling and SDKs that reduce per-team provisioning and schema management toil • Continuously assess cloud platform needs across the SRS fleet, identify risks and gaps before they become incidents • Drive improvements in capacity management, monitoring/alerting, query tuning, load optimization, and data replication for reporting workloads • Create and institutionalize best practices and health models across the database fleet, using observability tooling and AWS automation to enforce standards consistently • Consult directly with engineering teams and group leads on storage readiness and risk • Build a network of storage champions across the division to distribute expertise and raise the floor on database hygiene • Curate training opportunities for engineering teams in database technologies and management • Provide tactical support during production emergencies

• Hands-on coding to deliver scalable backend services and infrastructure • Provide technical leadership and guidance for software architecture and design decisions • Mentor and support developers, fostering a culture of continuous learning and improvement • Develop and maintain reliable, secure, high performance cloud services • Maintain high code quality through automated deployments, unit and integration testing, and continuous improvement practices • Document and present technical solutions clearly and thoroughly • Support the engineering manager in achieving on-time delivery of team commitments • Participate in on-call rotations for production systems

• Owns features and infrastructure end-to-end: design through production release, limited guidance required • Identifies edge cases and failure modes independently within assigned scope • Participates actively in code review with constructive, specific feedback • Surfaces blockers early rather than waiting for check-ins • Designs pipeline abstractions (templates, shared jobs, reusable configs) that work across multiple teams and tech stacks • Keeps pipelines healthy, observable, and continuously improving • Owns the shared infrastructure layer for autonomous AI agent environments: orchestration, provisioning, observability, cost controls, and security guardrails • Treats engineers as customers: office hours, documentation, feedback loops • Measures platform impact with DORA metrics, adoption rates, and time-to-productivity data