Platform Engineer

Job Description

Platform Engineer

Job Information

Location: Mundelein, IL

Remote (candidates located within NYC, DC-Baltimore, and Minneapolis metro areas)

Company: HHAeXchange

Department: Data & AI Engineering

Reports to: Director of Analytics

Job Type: Full-time, exempt

Base Salary Range: $110,000-120,000/yr (not including variable compensation)

Role Summary

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Software Engineering

Primary & Secondary Schooling (K-12)

Programming

HHAeXchange is seeking a Platform Engineer to join the Data & AI Engineering team. This role sits at the intersection of platform reliability and delivery automation, ensuring the infrastructure that powers 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 built on AWS, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything built.

Geographic Reference

Essential Job Duties

Platform Reliability (SRE)

Own availability, latency, and performance targets for AI platform services and data infrastructure 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 (RAG pipelines, agent orchestration services, 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 using Terraform or AWS CDK

Manage and optimize AWS environments (ECS, Lambda, S3, RDS, Redshift, API Gateway, etc.)

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

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 a "factory model" vision by making deployment and reliability a repeatable, scalable capability

Required Education, Experience, Certifications And Skills

Experience: 3+ years in DevOps, SRE, or platform engineering role

AWS: Hands-on experience with AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services

IaC: Experience with Terraform or AWS CDK

CI/CD: Strong experience with GitHub Actions

Containerization/Orchestration: Experience with Docker, ECS, or Kubernetes

AI/ML Infrastructure: Familiarity with model serving, vector databases, pipeline orchestration (strongly preferred)

Observability: Experience with Datadog or CloudWatch

Prior Experience: SaaS environment

Skills: Strong verbal and written communication, collaboration with technical and non-technical stakeholders; self-starter with proactive approach to infrastructure risk

Mindset: Willingness to explore and adopt AI tools responsibly

Travel Requirements

Up to 10%, including overnight travel

Travel Guides & Travelogues

Benefits

Competitive health plans

Paid time-off

Company-paid holidays

401K retirement program with Company elected match

Other company-sponsored programs

Equal Opportunity

HHAeXchange is an equal-opportunity employer.

Machine Learning & Artificial Intelligence