Platform Engineer

Job Description Platform Engineer Location: Charleston, WV Remote (EST or CST time zones within the US) Company: HHAeXchange Base Salary Range: $110,000–120,000/yr (plus variable compensation) Employment Type: US-based, full-time, exempt Job Summary HHAeXchange is seeking a Platform Engineer to join the Data & AI Engineering team. Reporting to the Director of Analytics, this role ensures the infrastructure powering the AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving. The engineer will own the reliability and deployment lifecycle of infrastructure on AWS, working closely with AI Platform Engineers and Data & AI Engineers. Machine Learning & Artificial Intelligence Essential Job Duties Platform Reliability (SRE) Own availability, latency, and performance targets for AI platform services and data infrastructure on AWS Design monitoring, alerting, and observability frameworks Lead incident response, root cause analysis, and post-mortem processes Define and track SLOs/SLAs for RAG pipelines, agent orchestration, and model access layers Proactively identify reliability risks and drive improvements Build runbooks, disaster recovery procedures, and operational documentation DevOps & Delivery Automation Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications Own infrastructure-as-code (IaC) using Terraform or AWS CDK Manage AWS environments: ECS, Lambda, S3, RDS, Redshift, API Gateway Implement security, compliance, and cost optimization best practices Automate deployment, scaling, and configuration management Containerize and operationalize AI services and agent frameworks Support environment management and deployment tooling for data pipeline infrastructure Cross-Team Enablement Serve as operational backbone for the AI platform team Contribute to a scalable "factory model" for deployment and reliability Required Education, Experience, Certifications, And Skills 3+ years in DevOps, SRE, or platform engineering Hands-on AWS experience (AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC) Infrastructure-as-code experience (Terraform or AWS CDK) CI/CD experience (GitHub Actions) Containerization and orchestration (Docker, ECS, or Kubernetes) Familiarity with AI/ML infrastructure (model serving, vector databases, pipeline orchestration) – strongly preferred Observability/monitoring tooling (Datadog, CloudWatch) SaaS environment experience Strong verbal and written communication skills Self-starter with proactive infrastructure risk management Willingness to use AI tools responsibly for productivity and innovation Travel Up to 10% overnight travel Machine Learning & Artificial Intelligence Benefits Competitive health plans, paid time-off, company paid holidays, 401K retirement with Company match HHAeXchange is an equal-opportunity employer. AI tools may support parts of the hiring process; final decisions are made by humans. Primary & Secondary Schooling (K-12)