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Own production infrastructure and delivery platforms across AWS, EKS, Terraform, CI/CD, and GitOps. Maintain secure, reproducible environments; support data and application infrastructure; implement observability; and improve cost, reliability, and deployment safety. Partner with technical leads to define requirements, assess risks, and deliver maintainable solutions in an ambiguous, collaborative, fully remote environment.

Build and maintain automated test frameworks for a large-scale platform using TypeScript and Playwright. Develop functional, integration, and API tests; integrate automated suites into CI/CD pipelines; debug issues and perform root-cause analysis; and contribute independently to production backend code. The role also offers opportunities for Java or Kotlin backend engineering and values experience with cloud platforms, containers, microservices, performance, reliability, accessibility, and contract testing.

Build and integrate LLM-powered features across React frontends and Python backend services. Develop AI workflows, prompt engineering, API integrations, data processing, and scalable product functionality using Claude, OpenAI, or similar models. Collaborate with product, QA, and engineering teams in distributed environments with EST-hour overlap.

Own and evolve AWS infrastructure, Terraform IaC, EKS clusters, CI/CD and GitOps delivery pipelines. Manage environments, secrets, IAM, observability, data and application infrastructure, cost, reliability, and security. Partner with engineering leads to define production-ready solutions, troubleshoot platform issues, and assess risks involving stateful systems and live traffic. The role requires strong Bash and Python automation skills, comfort with ambiguity, sound technical judgment, and effective remote collaboration.

Own and engineer an enterprise AI collaboration platform integrating Slack, Google Workspace, Glean, Claude, ChatGPT, and other systems. Build production AI agents, RAG solutions, APIs, connectors, workflows, and secure integrations using MCP and function calling. Administer platform access, monitoring, governance, and lifecycle management; evaluate quality, safety, and performance; troubleshoot complex issues; establish engineering standards; lead technical reviews; mentor contributors; and advise platform leadership on emerging AI capabilities.

Build and maintain features across React microfrontends, TypeScript serverless Lambda functions, and Fastify/NestJS services. Develop AWS infrastructure with Terraform, maintain GitLab CI/CD, write unit/integration/E2E tests with Jest/Playwright/K6, use AI coding assistants, and support migration by maintaining a legacy ASP.NET 4.7.2 application as needed.

Develop and maintain features across React microfrontends and TypeScript/Node backends, build AWS infrastructure with Terraform, maintain GitLab CI/CD, write unit/integration/E2E tests, leverage AI coding tools, and support migration by maintaining a legacy ASP.NET 4.7.2 app through end of 2026.

Build and maintain features across React microfrontends, TypeScript serverless Lambdas, and Fastify services; develop AWS infrastructure with Terraform; maintain CI/CD pipelines; write unit, integration, and E2E tests; collaborate on APIs and data abstractions; use AI coding assistants; support legacy ASP.NET during migration. Contract through end of 2026.

Build and integrate LLM-powered functionality across React frontends and Python backend services. Develop AI workflows, prompt engineering solutions, API integrations, data processing, and scalable product features using Claude, OpenAI, or similar models. Collaborate with product, QA, and engineering teams in distributed environments with EST-hour overlap, and contribute to design discussions and maintainable implementations.

Conduct mixed-method UX research for enterprise IT and operations employee experiences. Evaluate AI-enabled self-service tools and AI skill concepts, identify adoption barriers and trust needs, maintain a jobs-to-be-done framework, and translate findings into actionable recommendations. Develop research plans, recruit participants, moderate studies, synthesize results, and deliver executive-ready readouts. Partner with product, design, engineering, service, and operational teams to validate tooling decisions before rollout.