Top Engineering Jobs

Build and evolve UI, API, and end-to-end test automation for a healthcare platform. Develop release validation, deployment guardrails, quality gates, and CI/CD integrations across cloud-native, microservices, and event-driven systems. Improve test reliability, environment stability, test data management, and failure analysis. Partner with Product, Engineering, Platform, SRE, and Security teams to support safe production releases, compliance, observability, and regulated workflows. Mentor engineers and apply AI-assisted tools to expand coverage and reduce flaky tests.

Build and support full-stack web applications and cloud platform features for AI-driven healthcare automation. Responsibilities include contributing to technical roadmaps, designing and developing features, testing, deploying releases, supporting production services, and collaborating with product and design teams. The role also involves database and frontend work, implementing security practices, and integrating AI or agent-based systems into product workflows.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Lead technical strategy and delivery for a cloud platform focused on reliability, scalability, security, and cost efficiency. Design reusable platform components, CI/CD and GitOps workflows, observability, incident response, and AI governance. Partner with architecture, SRE, DevOps, security, and product teams; own production reliability, compliance with healthcare security/privacy, and establish enterprise-ready frameworks for auditability and traceability.

Lead the development and enhancement of data and AI platforms, ensuring performance, scalability, and compliance while mentoring junior engineers and collaborating across teams.

Build and independently deliver full-stack healthcare software features using Java or Groovy, React and TypeScript, MongoDB, and Kafka. Responsibilities include design, implementation, testing, deployment, production debugging, code reviews, design documentation, dependency coordination, process improvements, and mentoring. The role requires reliable delivery with minimal oversight and collaboration across engineering, product, and QA teams in a remote-first environment.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

Lead technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.