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Remote Platform Engineer Jobs in Laurel, MD (NOW HIRING)

HHAeXchange

Platform Engineer

Washington, DC · On-site +1

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 ...

HHAeXchange

Platform Engineer

Washington, DC · Remote

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 ...

Booz Allen Hamilton, Inc.

Platform Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242482 Location: McLean,VA,US Share job via: Share Platform Engineer The Opportunity: As a Platform Engineer, you'll help build and operate the foundational ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

Contract Compensation: $72/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

Contract Compensation: $72/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

Contract Compensation: $72/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$56/hr

Contract Compensation: $56/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

Contract Compensation: $72/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

Contract Compensation: $72/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud ...

Guidehouse

Palantir Platform Engineer

Arlington, VA · On-site +1

Focus on engineering, building, and maintaining shared platform capabilities, data pipelines ... Ability to support remote, hybrid, and on-site projects in the DC metro area. What Would Be Nice To ...

SAIC

AI Platform Engineer - SETA

Columbia, MD · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description Varen, an SAIC Company is seeking an AI Platform Engineer - SETA to join our team. This position is located in Columbia, MD and requires a TS ...

Booz Allen Hamilton, Inc.

M365 Platform Engineer

Mclean, VA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0239603 Location: McLean,VA,US Share job via: Share M365 Platform Engineer The Opportunity: Join a growing M365 platform engineering team supporting enterprise-scale ...

Maximus

M365 Platform Engineer

VA · On-site +1

General information Job Posting Title M365 Platform Engineer Date Wednesday, June 3, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted ...

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All JobsPlatform Engineer JobsRemote Platform Engineer JobsRemote Platform Engineer Jobs in Laurel, MD

Remote Platform Engineer information

See Laurel, MD salary details

$32

$63

$94

How much do remote platform engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote platform engineer in Laurel, MD is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $73.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote platform engineer?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

What is a remote platform engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

How does a remote platform engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are popular job titles related to Remote Platform Engineer jobs in Laurel, MD? For Remote Platform Engineer jobs in Laurel, MD, the most frequently searched job titles are:
What cities near Laurel, MD are hiring for Remote Platform Engineer jobs? Cities near Laurel, MD with the most Remote Platform Engineer job openings:
Remote Platform Engineer jobs near you
Infographic showing various Remote Platform Engineer job openings in Laurel, MD as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $131,891 per year, or $63.4 per hour.

Platform Engineer

HHAeXchange

Washington, DC • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 21 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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