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Devops Platform Engineer Jobs in Washington, DC (NOW HIRING)

Accenture Federal Services

DevOps Engineer

Washington, DC

$59.75 - $81.75/hr

You Are: As a DevOps Engineer , you will collaborate with cloud infrastructure and DevSecOps teams to deploy, configure, and maintain the Flow agentic orchestration platform in enterprise ...

Agile Defense

Platform DevOps Engineer

Arlington, VA · On-site

$60.75 - $83/hr

Platform DevOps Engineer Location: Arlington, VA Clearance Level: Active Top Secret (TS) clearance with the ability to obtain or maintain TS/SCI eligibility Agile Defense is seeking a Subject Matter ...

Agile Defense

Platform DevOps Engineer

Arlington, VA

$60.75 - $83/hr

Platform DevOps Engineer Location: Arlington, VA Clearance Level: Active Top Secret (TS) clearance with the ability to obtain or maintain TS/SCI eligibility Agile Defense is seeking a Subject Matter ...

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How much do devops platform engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for devops platform engineer in Washington, DC is $68.53, according to ZipRecruiter salary data. Most workers in this role earn between $57.40 and $78.65 per hour, depending on experience, location, and employer.
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Devops Platform Engineer jobs near you
Infographic showing various Devops Platform Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $142,551 per year, or $68.5 per hour.

DevOps Engineer

Accenture Federal Services

Washington, DC

$59.75 - $81.75/hr

Full-time

Re-posted 3 hours ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 483 rated business services

Job description

You Are:

As a DevOps Engineer, you will collaborate with cloud infrastructure and DevSecOps teams to deploy, configure, and maintain the Flow agentic orchestration platform in enterprise environments.

The Work:

  • Collaborate with cloud infrastructure and DevSecOps teams to deploy, configure, and maintain the Flow agentic orchestration platform in enterprise environments.
  • Your primary responsibilities include deploying and maintaining Flow's multi-component architecture (React frontend, Express/Node.js backend, Python workers) on AWS environments.
  • You will configure and optimize AWS Batch with Fargate Spot containers for cost-effective parallel execution, implement and manage EFS storage solutions for shared storage requirements, and establish secure JWT authentication flows, bcrypt password hashing, and httpOnly cookie implementations.
  • You will configure database connections, ensure PostgreSQL optimization, set up and maintain integration with AWS Bedrock and Claude Agent SDK, create and maintain CI/CD pipelines for Flow deployment and updates, implement security controls and compliance measures, and troubleshoot infrastructure and deployment issues across environments.

Here's What You Need:

  • 5+ years of AWS cloud infrastructure experience
  • 5+ years of production DevOps/platform engineering experience
  • 5+ years of experience with containerization (Docker) and container orchestration.
  • 5+ years of experience with CI/CD pipeline design and implementation (GitHub Actions, GitLab CI, or similar).
  • 4+ years of experience with Security implementation in cloud environments.
  • 4+ years of experience with Infrastructure as Code (Terraform, CloudFormation, etc.); Scripting and automation (Python, Shell); Node.js/Express environments; Gitlab; and containerization (Docker) and orchestration
  • 4+ years of experience integrating and managing AWS Bedrock and Claude Agent SDK
  • 4+ years of experience in database administration and optimizing PostgreSQL for high-demand enterprise environments
  • 4+ years of experience in troubleshooting complex infrastructure and deployment issues across multiple environments

Bonus Points If You Have:

  • Prior Government consulting experience. 
  • Strong cloud infrastructure experience with Azure or GCP.
  • Experience deploying and managing ML/AI platforms or LLM-based applications. 
  • Multi-cloud architecture and deployment experience (Azure + GCP).
  • PostgreSQL administration and optimization.
  • Security and compliance experience in enterprise environments. 
  • Experience supporting platforms in client-facing or multi-tenant scenarios.
  • Contributions to infrastructure automation or DevOps tooling. 
  • Background working in Agile delivery or startup environments.

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