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Platform Engineer Jobs (NOW HIRING)

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 ...

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

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 ...

Platform Engineer

Sonoma, CA · On-site

$250K/yr

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

We are seeking a highly skilled and proactive Cloud Platform Engineer to join our Platform Engineering team. In this key role, you will leverage deep Azure expertise and strong automation ...

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 ...

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 ...

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

Platform Engineer

Fremont, CA · On-site

$250K/yr

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

Platform Engineer

Hayward, CA · On-site

$250K/yr

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

This Platform Engineer will work closely with development, security, and operations teams to support CI/CD pipelines, infrastructure automation, container platforms, and enterprise systems such as ...

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

Platform Engineer

Alameda, CA · On-site

$250K/yr

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo, California [Hybrid] Join an early-stage AI company building technology to make housing and urban ...

The Platform Engineer is responsible for building, operating, and improving the shared infrastructure and tooling that Fervo's internal teams use to deliver software. This role focuses on delivering ...

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 ...

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 ...

TS/SCI w/ Polygraph Platform Engineer Skill Level 1 Provide hardware, operating system and system administration support for the highly available enterprise services offered by the Government. Skills ...

Requirement - Platform Engineer Location- Charlotte North Carolina Contract W2 Overview: * Client is seeking a mid-level to senior engineer to join client's team on a contract basis to help design ...

Showing results 21-40

Platform Engineer information

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How much do platform engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is a platform engineer?

A platform engineer writes code that bridges the gap between software and hardware and tests the system so that it runs effectively and smoothly. In this career, you are a vital part of the software and hardware industries. You run diagnostics tests to verify the correct design of hardware, which usually means writing code for manufacturing diagnostics so that the testing of the hardware takes place automatically. The qualifications needed for a career as a platform engineer include a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

Do platform engineers make good money?

Platform engineers typically earn competitive salaries that vary based on experience, location, and industry. In many regions, they can expect to earn above-average wages, especially with skills in cloud computing, automation, and scripting. Certifications and expertise in tools like Kubernetes or AWS can also positively impact earning potential.

What are the key skills and qualifications needed to thrive as a platform engineer, and why are they important?

To thrive as a Platform Engineer, you need a solid background in computer science, systems architecture, and cloud infrastructure, often supported by a relevant degree or equivalent experience. Familiarity with containerization tools (like Docker and Kubernetes), infrastructure-as-code platforms (such as Terraform), and cloud services (AWS, Azure, or GCP) is typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication help Platform Engineers drive reliability and innovation within technical teams. These competencies are crucial for building scalable, secure, and efficient platforms that support an organization's technology needs.

How does a platform engineer typically collaborate with development and operations teams?

Platform Engineers work closely with both development and operations teams to design, build, and maintain scalable infrastructure and deployment pipelines. They often serve as a bridge, ensuring that applications can be deployed reliably and efficiently while meeting the requirements of both teams. Regular communication is key, as Platform Engineers gather feedback from developers about tooling needs and coordinate with operations to uphold system stability and security. This collaborative environment fosters automation, streamlines workflows, and supports continuous delivery practices.

What is the difference between Platform Engineer vs DevOps Engineer?

AspectPlatform EngineerDevOps Engineer
CredentialsBachelor's in CS or related field, often cloud certificationsBachelor's in CS, DevOps certifications (e.g., Docker, Kubernetes)
Work EnvironmentDesigning and building platform infrastructure, working with cloud servicesAutomating deployment, CI/CD pipelines, and system operations
Industry UsageTech companies, cloud providers, SaaS firmsSoftware development, IT operations, cloud services

Platform Engineers focus on creating and maintaining the underlying infrastructure and platforms, while DevOps Engineers streamline development and deployment processes through automation. Both roles collaborate closely but have distinct focuses within the software development lifecycle.

What cities are hiring for Platform Engineer jobs? Cities with the most Platform Engineer job openings:
What are the most commonly searched types of Platform Engineer jobs? The most popular types of Platform Engineer jobs are:
Who are the top companies hiring for Platform Engineer jobs? The top employers for Platform Engineer jobs are:
What states have the most Platform Engineer jobs? States with the most job openings for Platform Engineer jobs include:
Infographic showing various Platform Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

Platform Engineer

HHAeXchange

Minneapolis, MN • Remote

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


Job 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.

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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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