6 days ago
Remote, United StatesSenior
Responsibilities
- Design and build event-driven, data-intensive backend services with Node.js, TypeScript, Amazon Aurora, ECS, and SQS.
- Design microservices architectures with clear service boundaries, data ownership, synchronous REST communication, and asynchronous messaging.
- Develop AI pipelines and scalable AI-enabled systems for structured and unstructured data and mission-critical healthcare platforms.
- Design cloud-native architectures and distributed systems supporting AI-driven applications.
- Drive test-driven development and maintain unit, integration, and contract test coverage.
- Collaborate with engineering, product, research, and technical leadership teams to deliver deployable solutions.
- Support additional project tasks and team objectives as needed.
Requirements
- Bachelor’s degree in computer science, software engineering, artificial intelligence, or a related technical discipline.
- At least 5 years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production.
- Hands-on experience with React, Node.js, TypeScript, production-grade services, REST APIs, and integrations.
- Experience using AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
- Hands-on experience with AWS data and messaging services and event-driven, data-intensive services.
- Experience designing microservices and distributed systems supporting AI workloads.
- Demonstrated test-driven development and automated testing experience across unit, integration, and contract tests.
- Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems.
- Strong troubleshooting and problem-solving experience with complex distributed systems.
- Strong communication and collaboration skills, including the ability to guide technical discussions and influence engineering decisions.
- Preferred qualifications include experience in regulated healthcare or federal systems, familiarity with FHIR or HL7, AI orchestration or agent-based architecture experience, PostgreSQL or Amazon Aurora performance tuning, Amazon SQS and S3 workflows, and Docker or Kubernetes.
Benefits
- Medical, dental, and vision insurance.
- 401(k) with employer match.
- Paid time off plus federal holidays.
- Corporate laptop.
- Training and professional development opportunities.
- 100% remote opportunity within the continental United States.
- U.S. citizenship is required.
- Selected candidates must complete a background check and required fingerprinting at a government facility.
- Ability to obtain and maintain a government Public Trust clearance may be required.
Categories
BackendProduct Engineering
