Top Engineering Jobs in Los Angeles, CA

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Lead Headway’s Infrastructure team, owning AWS cloud infrastructure, deployment pipelines, LLM platform capabilities, databases, observability, reliability, and incident response. Hire and develop engineers, establish self-service platform practices, reduce incident blast radius, define production readiness for AI workloads, and partner with Security and product engineering teams. The role combines technical leadership, people management, platform strategy, design reviews, and hands-on incident response.

Lead Headway’s Web Platform team of five frontend engineers. Own frontend strategy, design systems, web architecture, accessibility, performance, testing, and agentic UI workflows. Hire and develop engineers, manage performance, align with Design and product teams, define roadmaps and metrics, and advocate for frontend standards company-wide. Remain hands-on with code and AI tools while evolving shared frameworks, tooling, documentation, and automated quality checks.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.