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Platform Engineer

7 hours, 22 minutes ago
United States
Full-time
Mid Level
Platform Engineer
DevOps and Infrastructure
AWS AWS CDK CI/CD Datadog Docker GitHub Actions Kubernetes Terraform
Apply Now
HHAeXchange

HHAeXchange

HHAeXchange is a premier homecare management software connecting providers, payers, and caregivers for proactive care, efficiency, and transparency in the industry.

Health Care Providers & Services
251-1K
Founded 2008
View All Jobs 17

Description

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS.
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack.
  • Lead incident response, root cause analysis, and post-mortem processes for platform outages or degradations.
  • Define and track SLOs and SLAs for core platform components, including RAG pipelines, agent orchestration services, and model access layers.
  • Proactively identify reliability risks and drive engineering improvements before they impact production.
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation.
  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications.
  • Own infrastructure-as-code practices using tools such as Terraform or AWS CDK.
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services.
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead.
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks.
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure.
  • Serve as the operational backbone for the AI platform team so engineers can ship and iterate quickly without infrastructure blockers.

Requirements

  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role.
  • Hands-on AWS experience with services such as AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, and VPC.
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK.
  • Strong CI/CD experience with tools such as GitHub Actions.
  • Experience with containerization and orchestration, including Docker, ECS, or Kubernetes.
  • Familiarity with AI/ML infrastructure patterns such as model serving, vector databases, and pipeline orchestration, strongly preferred.
  • Experience with observability and monitoring tooling such as Datadog or CloudWatch.
  • Prior experience in a SaaS environment.
  • Strong verbal and written communication skills with the ability to collaborate across technical and non-technical stakeholders.
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery.
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in the role.
  • Ability to travel up to 10%, including overnight travel.
  • Must be located in the U.S. within the EST or CST time zones.

Benefits

  • Base salary range of $110,000 to $120,000 per year, excluding variable compensation.
  • Benefits-eligible position.
  • Competitive health plans.
  • Paid time off.
  • Company-paid holidays.
  • 401(k) retirement program with company match.
  • Access to additional company-sponsored programs.

Interested in this position?

Apply directly on the company website

Apply Now

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