Build and operate AWS development, test, and production environments for AI healthcare products. Own scalable infrastructure, infrastructure as code, CI/CD, Kubernetes/EKS platforms, observability, access controls, incident response, third-party AI integrations, and cloud cost optimization. Support LLM and voice AI workloads, improve reliability and security, automate recurring operations, and collaborate with engineering teams across the US and India.
Job Summary
Access Healthcare builds AI products for revenue cycle management, including voice AI that works on behalf of provider groups and interacts with insurance companies to move claims to payment. We are looking for a Platform Engineer to support our product engineering team across development and production environments. The role is mainly on AWS and covers several integrated AI and third-party services. You will independently own technical initiatives from design through production operation, alongside engineering teams in the US and India.
Supervisory Responsibilities
This position has no direct supervisory responsibilities.
Duties/Responsibilities
- Build, run and support development, test and production environments on AWS.
- Design and evolve scalable, reliable platform architecture, evaluate technical tradeoffs, and collaborate with product engineering on infrastructure and deployment decisions.
- Maintain infrastructure as code and keep environments consistent and repeatable.
- Own CI/CD pipelines and deployments, including safe releases and rollbacks.
- Operate and maintain container platforms (Kubernetes / EKS).
- Build and maintain infrastructure supporting AI services (LLM, speech, and voice) and third-party integrations, including service configuration, authentication, rate limits, monitoring, and vendor-related incidents.
- Establish observability, monitoring, and alerting; proactively identify reliability and performance risks, validate systems under load, and lead incident resolution and root-cause remediation.
- Manage access and permissions, and keep infrastructure and access changes traceable and auditable, in line with healthcare data security requirements.
- Resolve environment and access issues for engineers, and document and automate recurring work.
- Coordinate with the USA and India engineering team, with some overlap in working hours and a share of production support.
- Own cloud and AI service costs: track spend, set budgets and alerts, and continuously optimize usage (right-sizing, scaling, reserved capacity, LLM and API usage) to keep costs at the optimum level without affecting performance.
- Performs other duties as assigned.
Required Skills/Abilities
- Proven hands-on experience as a platform, DevOps, SRE or cloud engineer supporting production systems.
- Strong working knowledge of AWS (compute, networking, IAM, storage, managed databases).
- Experience with Terraform or similar, Docker, Kubernetes, and CI/CD tools such as GitHub Actions.
- Strong programming skills in Python or another backend language.
- Experience with observability and alerting tools.
- Ability to take ownership and deliver independently when requirements are unclear.
- Clear written and verbal communication, and experience working with teams across time zones.
- Hands-on experience with cloud cost management and optimization (for example AWS Cost Explorer, budgets, tagging, Savings Plans).
Education and Experience
- 7 + years of experience
- Experience running LLM or voice AI workloads in production.
- Experience in healthcare or other regulated environments (HIPAA, SOC 2).
- GitOps (for example Argo CD), multi-account AWS setup, SSO / identity tools such as Okta.
Physical Requirements
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 15 pounds at a time.
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