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HomeCompaniesHhaexchangePlatform Engineer

Platform Engineer

Hhaexchange · New York City Metropolitan Area · Hybrid · Active · $110,000 / year · Lever

Job facts

FieldValue
CompanyHhaexchange
TitlePlatform Engineer
Normalized title-
Department / teamGeneral and Administration / Business Operations
LocationNew York City Metropolitan Area, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$110,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-06-15 / 2026-06-16
Changed / last seen2026-06-18 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hhaexchange.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City Metropolitan Area.Open
Department jobsActive postings in General and Administration.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHhaexchange
Source4381073e-590b-49bf-a33a-99690844b917
ATS providerLever

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 IDfbf394a310b84b8afc9d0a886fb1575f36790b6b
Org ID215cfdb1-1be5-4171-9df0-de1fe1c07437
Source ID4381073e-590b-49bf-a33a-99690844b917
Board ID4381073e-590b-49bf-a33a-99690844b917
Providerlever
Provider Job Key545a47b0-c6ac-47ad-9570-5db68bcdd51d
TitlePlatform Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York City Metropolitan Area
DepartmentGeneral and Administration
TeamBusiness Operations
Employment TypeFull Time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
CityNew York City Metropolitan Area
Salary Rawsalary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation
Salary Min110,000
Salary Max
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/hhaexchange/545a47b0-c6ac-47ad-9570-5db68bcdd51d
Apply URLhttps://jobs.lever.co/hhaexchange/545a47b0-c6ac-47ad-9570-5db68bcdd51d/apply
First Seen At2026-06-16 07:55:48Z
Last Seen At2026-06-20 07:55:59Z
Last Checked At2026-06-20 07:55:59Z
Last Changed At2026-06-18 07:55:50Z
Inactive At
Source Posted At2026-06-15 17:44:45Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hhaexchange/date=2026-06-20/2026-06-20T07-55-58-794Z-c878c74736e095bad70b6e59397600e75fe0d121e85a7c2ace8a716f24156176.json
Event Fields
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  "active_status": "active"
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Extensions
{}
Native Structured
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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 &amp; 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 &amp; 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>"
    },
    {
      "text": "Other Job Duties",
      "content": "<div>\n\n<li>Other duties as assigned by supervisor or HHAeXchange leader.</li>\n\n</div>"
    },
    {
      "text": "Travel Requirements",
      "content": "\n<li>Travel up to 10%, including overnight travel</li>\n"
    },
    {
      "text": "Required Education, Experience, Certifications and Skills",
      "content": "<div>\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;\">3+ years of professional experience in a DevOps, SRE, or platform engineering role</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Hands-on AWS experience required – AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, 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;\">Experience with infrastructure-as-code 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;\">Strong CI/CD experience with tools such as GitHub Actions</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Experience with containerization and orchestration (Docker, ECS, or Kubernetes)</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Familiarity with AI/ML infrastructure patterns – model serving, vector databases, pipeline orchestration (strongly preferred)</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Experience with observability and monitoring tooling (Datadog, CloudWatch)</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Prior experience in a SaaS environment</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery</span></li>\n<li style=\"margin: 2pt 0in 2pt 0px; font-size: 10pt; font-family: Arial, sans-serif;\"><span style=\"color: black;\">Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.</span></li>\n\n</ul></div>"
    }
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  "country": "US",
  "createdAt": 1781545485242,
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  "categories": {
    "team": "Business Operations",
    "location": "New York City Metropolitan Area",
    "commitment": "Full Time",
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