Senior Software Engineer (Platform)

ExaCare AI is a leading health tech company focused on building an AI operating system for post-acute care. They are seeking a Senior Software Engineer (Platform) to build and scale the infrastructure and backend systems that power their products, improving operational efficiency and developer velocity.

Responsibilities:

• Build and scale core platform infrastructure. Design and maintain reliable backend services, cloud infrastructure, CI/CD pipelines, and internal platform systems that support rapid product development and scalable operations
• Own production systems end-to-end. Develop and operate highly available distributed systems using TypeScript, PostgreSQL, AWS, and modern infrastructure tooling. Ensure systems are secure, observable, fault-tolerant, and performant
• Improve developer velocity. Create internal tooling, deployment automation, developer workflows, feature flag systems, and platform abstractions that help the engineering team ship faster and more confidently
• Lead reliability and operational excellence. Establish best practices around monitoring, incident response, infrastructure-as-code, testing, deployment safety, and system resiliency. Participate in production incident triage and continuous reliability improvements
• Architect scalable backend systems. Design APIs, background processing systems, event-driven workflows, queues, and integrations that support complex healthcare operations at scale
• Drive platform innovation. Evaluate and implement modern infrastructure patterns, AI-powered developer workflows, and scalable cloud-native technologies that improve engineering productivity and product capabilities
• Collaborate cross-functionally. Work closely with product, engineering, and operations teams to translate business needs into robust technical systems and platform capabilities

Requirements:

• Bachelor's degree in Computer Science or a related technical field
• 5+ years of software engineering experience with a strong focus on backend systems, infrastructure, platform engineering, or DevOps
• Experience building and operating scalable distributed systems in production environments
• Strong proficiency with TypeScript, PostgreSQL, and REST APIs
• Hands-on experience with serverless technologies such as AWS Lambda, Azure Functions, and Google Cloud Functions
• Deep experience with AWS cloud infrastructure and modern DevOps tooling
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Strong understanding of CI/CD pipelines, infrastructure-as-code, observability, and system reliability practices
• Experience designing secure, resilient, and maintainable backend architectures
• Ability to rapidly learn new technologies and independently execute ambiguous, high-impact projects
• Strong communication skills with the ability to explain technical concepts clearly across teams
• experience working with LLM infrastructure, AI tooling, or event-driven architectures