About the Company Our client builds AI-native infrastructure to automate the administrative backbone of healthcare. They're starting with home health, helping agencies reduce overhead, accelerate payments, and focus more on care-not paperwork. Their agentic AI platform integrates directly into providers' operations, automating complex workflows like insurance verification, prior authorization, and billing.
Our client is backed by top-tier investors and built by a team with deep expertise across healthcare operations, applied AI, and complex workflow automation.
About the Role We're hiring an Infrastructure Engineer to build and scale the foundational systems that power our client's AI automation platform. You'll own critical infrastructure that supports production workloads across intake, clinical documentation, and revenue cycle management-ensuring reliability, security, and performance as the platform scales from one client to dozens.
A successful Infrastructure Engineer is systems-oriented and comfortable working across the stack-from container orchestration and data pipelines to observability and deployment automation. You'll have significant ownership over architecture decisions and the opportunity to shape how resilient, compliant infrastructure is built for healthcare.
Over time, you'll help set the technical vision for the infrastructure layer, define operational best practices, and lead critical initiatives that enable the engineering organization to ship faster and more reliably.
Responsibilities - Design, build, and maintain scalable cloud infrastructure on AWS, including container orchestration (ECS), databases (Postgres, Redshift), and data pipelines that support the AI-driven automation platform.
- Own CI/CD pipelines and deployment automation, ensuring fast, safe releases with proper testing, rollback capabilities, and zero-downtime deployments.
- Implement and manage infrastructure-as-code using Terraform, ensuring consistency, repeatability, and version control across all environments.
- Build comprehensive observability and monitoring systems using tools like Datadog, tracking system health, performance metrics, and cost optimization opportunities.
- Scale and optimize database systems (Postgres, Redshift) to handle growing data volumes while maintaining query performance and data integrity.
- Ensure security and compliance at the infrastructure layer, implementing IAM policies, network security, audit logging, and HIPAA-compliant data handling.
Qualifications - Infrastructure Experience: 4+ years of infrastructure or platform engineering experience, with proven ability to build and scale production systems in fast-paced environments.
- AWS Expertise: Strong hands-on experience with Terraform and AWS services, including ECS (container orchestration), RDS/Postgres, Redshift, IAM, VPC, and other core AWS primitives.
- CI/CD & Deployment: Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation to enable fast, reliable releases.
- Observability & Monitoring: Hands-on experience with monitoring and observability tools like Datadog, including metrics, logging, tracing, and alerting strategies.
- Collaboration & Communication: Excellent ability to partner with engineering teams to translate product and technical requirements into reliable infrastructure solutions.
Preferred - Familiarity with Redshift or similar data warehousing solutions for analytics and reporting workloads.
- Experience in healthcare technology or other highly regulated industries requiring strict security and compliance standards.
- Familiarity with data pipeline orchestration tools and ETL/ELT patterns for analytics workloads.
- Background in SRE practices, including incident response, post-mortems, and reliability engineering.
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