A hybrid DevOps & Infrastructure role at HHAeXchange.
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Original listing text, shown exactly as published by the company.
Platform Reliability (SRE)
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-level outages or degradations
Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
Proactively identify reliability risks and drive engineering improvements before they become production issues
Build and maintain 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) practices across the team using tools such as Terraform or AWS CDK
Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
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
Cross-Team Enablement
Serve as the operational backbone for the AI platform team – ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
Contribute to our “factory model” vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Required Education, Experience, Certifications and Skills
3+ years of professional experience in a DevOps, SRE, or platform engineering role
Hands-on AWS experience required – AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
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 (Docker, ECS, or Kubernetes)
Familiarity with AI/ML infrastructure patterns – model serving, vector databases, pipeline orchestration (strongly preferred)
Experience with observability and monitoring tooling (Datadog, CloudWatch)
Prior experience in a SaaS environment
Strong verbal and written communication skills with 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
HHAeXchange
DevOps & Infrastructure
31 open roles on Sydicom
HHAeXchange develops comprehensive software solutions for the homecare industry. Their platform connects payers and providers to streamline the management of homecare services, aiming to improve operational efficiency and compliance.
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