Top Engineering Jobs

Build, optimize, and maintain software systems using AI while collaborating across disciplines to develop user-focused solutions. Apply secure coding practices, participate in code reviews, and contribute to high-quality features. The role involves working with front-end or back-end technologies, databases, cloud platforms, and AI-assisted development in a mission-driven healthcare technology environment.

Software Engineering Interns will spend 10 weeks building and launching software features that help healthcare members find high-quality doctors and manage medical claims. Responsibilities include developing and maintaining AI-enabled systems, collaborating with engineers, designers, and product managers, participating in code reviews and problem-solving sessions, and presenting a capstone project. The role offers hands-on experience in an agile environment with potential full-time opportunities after successful completion.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

Build, optimize, and maintain software systems using AI in an AWS and Kubernetes environment. Collaborate across disciplines on distributed, event-driven systems, learn new technologies in a fast-paced startup, and protect user privacy and security while supporting healthcare data and HIPAA compliance.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves working with large-scale healthcare data in an AWS and Kubernetes environment while adopting emerging technologies and engineering practices.

Build, optimize, and maintain software systems using AI; collaborate across disciplines to solve complex healthcare technology problems; and protect user privacy and security through strong engineering practices. The role works with AWS and Kubernetes in a fast-paced startup environment and involves learning new languages, frameworks, and techniques while supporting systems that analyze large-scale medical records.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Lead and grow an engineering team building AI-enabled business productivity tools. Partner with internal business units to identify opportunities, deliver web applications and APIs, own secure and reliable services, set technical direction, and improve employee efficiency through AI adoption and foundational platform enhancements.

Lead engineering teams building Garner’s core healthcare product, including data ingestion systems and AI-enhanced product experiences. Provide technical oversight, drive scalable features, mentor and hire engineers, improve quality and delivery speed, manage cross-functional risks and tradeoffs, and protect user privacy and security. The role requires hands-on engineering experience, engineering management experience, and familiarity with web applications, APIs, and AWS cloud infrastructure.

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.