Home › Companies › Hhaexchange › Platform Engineer
Platform Engineer
Hhaexchange · New York City Metropolitan Area · Hybrid · Active · $110,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Hhaexchange |
| Title | Platform Engineer |
| Normalized title | - |
| Department / team | General and Administration / Business Operations |
| Location | New York City Metropolitan Area, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $110,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-06-15 / 2026-06-16 |
| Changed / last seen | 2026-06-18 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hhaexchange. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York City Metropolitan Area. | Open |
| Department jobs | Active postings in General and Administration. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hhaexchange |
| Source | 4381073e-590b-49bf-a33a-99690844b917 |
| ATS provider | Lever |
Description
HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.
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.
To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
Essential Job Duties
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
Other Job Duties
Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
Travel up to 10%, including overnight travel
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
Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
Full job record
| Job ID | fbf394a310b84b8afc9d0a886fb1575f36790b6b |
| Org ID | 215cfdb1-1be5-4171-9df0-de1fe1c07437 |
| Source ID | 4381073e-590b-49bf-a33a-99690844b917 |
| Board ID | 4381073e-590b-49bf-a33a-99690844b917 |
| Provider | lever |
| Provider Job Key | 545a47b0-c6ac-47ad-9570-5db68bcdd51d |
| Title | Platform Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York City Metropolitan Area |
| Department | General and Administration |
| Team | Business Operations |
| Employment Type | Full Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | New York City Metropolitan Area |
| Salary Raw | salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation |
| Salary Min | 110,000 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/hhaexchange/545a47b0-c6ac-47ad-9570-5db68bcdd51d |
| Apply URL | https://jobs.lever.co/hhaexchange/545a47b0-c6ac-47ad-9570-5db68bcdd51d/apply |
| First Seen At | 2026-06-16 07:55:48Z |
| Last Seen At | 2026-06-20 07:55:59Z |
| Last Checked At | 2026-06-20 07:55:59Z |
| Last Changed At | 2026-06-18 07:55:50Z |
| Inactive At | — |
| Source Posted At | 2026-06-15 17:44:45Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hhaexchange/date=2026-06-20/2026-06-20T07-55-58-794Z-c878c74736e095bad70b6e59397600e75fe0d121e85a7c2ace8a716f24156176.json |
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"text": "Essential Job Duties",
"content": "<div>\n<p style=\"margin: 4pt 0in 3pt; font-size: 10pt; font-family: Arial, sans-serif;\"><u><span style=\"color: black;\">Platform Reliability (SRE)</span></u></p>\n<ul style=\"margin-top: 2.0pt; margin-bottom: 2.0pt;\">\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Design and implement monitoring, alerting, and observability frameworks across the platform stack</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Proactively identify reliability risks and drive engineering improvements before they become production issues</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Build and maintain runbooks, disaster recovery procedures, and operational documentation</span></li>\n\n<p style=\"margin: 8pt 0in 3pt; font-size: 10pt; font-family: Arial, sans-serif;\"><u><span style=\"color: black;\">DevOps & Delivery Automation</span></u></p>\n<ul style=\"margin-top: 2.0pt; margin-bottom: 2.0pt;\">\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Automate deployment, scaling, and configuration management to reduce manual operational overhead</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure</span></li>\n\n<p style=\"margin: 8pt 0in 3pt; font-size: 10pt; font-family: Arial, sans-serif;\"><u><span style=\"color: black;\">Cross-Team Enablement</span></u></p>\n<ul style=\"margin-top: 2.0pt; margin-bottom: 2.0pt;\">\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Serve as the operational backbone for the AI platform team – ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Contribute to our “factory model” vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function</span></li>\n\n</ul></ul></ul></div>"
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"text": "Other Job Duties",
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"text": "Required Education, Experience, Certifications and Skills",
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