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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Homecare Software Solutions LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Software as a Service, Configuration Management, Continuous Integration, Data Infrastructure, DevOps, Disaster Recovery, Github, Identity and Access Management, Datadog, AWS Cdk, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Cloudwatch, Api Gateway, Terraform, Virtual Private Clouds, Data Pipelines, Docker, Amazon Redshift - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=af21378ee051eb56 ## About the Role Do you have experience in Virtual Private Clouds?, * 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 * Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role. ## Description HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation - ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving. This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI Platform - the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS. As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability - ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently., * 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, * Other duties as assigned by supervisor or HHAeXchange leader. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)