• Own the end-to-end health of Go build and verification pipelines, including performance, reliability, and flakiness reduction. • Define and implement consistent, high-signal backend CI/CD failure visibility and debugging workflows. • Improve local backend development and iteration workflows to shorten feedback loops and reduce reliance on staging deploys. • Establish and enforce Go platform standards, ownership boundaries, and baseline documentation expectations to improve long-term codebase health. • Proactively improve shared Go codebases to reduce regression risk and increase confidence when making changes. • Partner with Platform Engineering and other infrastructure teams to align backend infrastructure with existing platform foundations. • Act as a steward for the backend engineering community by running forums, collecting feedback, sharing progress, mentoring engineers, and reviewing code in shared areas.

• Lead the end-to-end development of SaaS web applications; designing, developing, and maintaining PHP-based systems, RESTful APIs, and back-end services. • Conduct thorough code reviews, enforce coding standards, and identify and resolve performance bottlenecks across applications and databases to optimize speed and reliability. • Act as the main technical liaison between clients, account teams, and the offshore development group - clarifying requirements, translating needs into actionable technical plans, and ensuring accurate and timely delivery.

• Design and implement conversational experiences on Dialogflow CX • Own Dialogflow CX build-outs: intents, entities, parameters, pages/flows • Implement secure fulfillment with Cloud Functions/Cloud Run • Collaborate cross‑functionally with UX writers/content designers • Engineer for reliability and scale: timeouts, retries, idempotency • Participate in discovery: clarify requirements, estimate work

• API & Backend Development: Design, build, and maintain scalable, low-latency RESTful APIs and microservices using Python and FastAPI (utilizing async/await and Pydantic) • Database Leadership: Act as the primary owner for PostgreSQL, handling everything from schema design and indexing strategies to complex query optimization and large-scale data migrations. • Vector Search & AI Integration: Implement and manage vector-based data use cases using pgvector to support embedding storage and high-performance similarity search. • Data Strategy (SQL/BQ): Leverage deep SQL expertise to support data engineering initiatives, including managing data syncs and performance tuning in Google BigQuery (BQ). • Infrastructure & Scaling: Contribute to cloud-native deployments using Docker and Kubernetes. Propose and implement improvements for system stability, backend security, and async performance.