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Level Devops Engineer Jobs (NOW HIRING)

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

North Andover, MA, USA (Onsite / Hybrid as applicable) Job Summary We are seeking a Mid-Level DevOps Engineer to join our growing technology team in North Andover, MA. The ideal candidate will have ...

Mid-Level DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

We'relooking for a DevOps Software Engineer whooperatesat the intersection of application development, infrastructure automation, and deployment orchestration.You'llcontribute to backend services ...

Mid-Level DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

We'relooking for a DevOps Software Engineer whooperatesat the intersection of application development, infrastructure automation, and deployment orchestration.You'llcontribute to backend services ...

Lead DevOps Engineer

Los Angeles, CA

$56.75 - $77.75/hr

Typically 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Platform Engineering roles. * 2-4 years of experience serving in a senior or lead-level DevOps capacity.

DevOps Engineer 3

Austin, TX · On-site

$52.25 - $71.50/hr

Title/Level: DevOps Engineer 3 Category: Applications/Software Development Duration: 01/19/2026 to 08/31/2026 Location: Austin, Texas 78751 Work Arrangement: Hybrid - On Site and Telework.

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

Accenture Federal Services is seeking a Mid-level DevOps Engineer, who will play a pivotal role in designing, implementing, and maintaining robust infrastructure solutions that support scalable and ...

DevOps Engineer

Maryland City, MD · On-site

$54 - $74.25/hr

Mid-Level DevOps Engineer Terms: Long-Term, at least 12-24 months Interview Process: Phone / F2F / Offer Required Skills: java, javascript, angular js, spring, web application development, AWS, unix ...

DevOps Engineer

Tampa, FL · On-site +1

$49.75 - $68.25/hr

Establish best practices and mentor other engineers in enterprise-level DevOps solutions * Environment: Kubernetes, Docker, Google Cloud Platform (GCP), GitLab, Azure DevOps, Jira, Terraform, Auth0 ...

DevOps Engineer

Tampa, FL · Remote

$54 - $74/hr

Establish best practices and mentor other engineers in enterprise-level DevOps solutions * Environment: Kubernetes, Docker, Google Cloud Platform (GCP), GitLab, Azure DevOps, Jira, Terraform, Auth0 ...

DevOps Engineer

Tampa, FL · Remote

$49.75 - $68.25/hr

Establish best practices and mentor other engineers in enterprise-level DevOps solutions * Environment: Kubernetes, Docker, Google Cloud Platform (GCP), GitLab, Azure DevOps, Jira, Terraform, Auth0 ...

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Level Devops Engineer information

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How much do level devops engineer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for level devops engineer in the United States is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $69.23 per hour, depending on experience, location, and employer.
What cities are hiring for Level Devops Engineer jobs? Cities with the most Level Devops Engineer job openings:

Mid-Level DevOps Engineer - HTS Data Derivation

Dev Technology

Reston, VA • Hybrid

$90K - $130K/yr

Other

Posted 11 days ago


Job description

Mid-Level DevOps Engineer - HTS Data Derivation

HTS Data Derivation Trade Compliance Federal Data Modernization 

Location: Hybrid (Onsite in Reston 2 days a week) 

Clearance: U.S. Citizenship required; ability to obtaina public trust 

A Role with Purpose and Impact 

We are seeking a Mid-Level DevOps Engineer to supportour federal client, focusedon modernizing the Harmonized Tariff Schedule of the United States (HTS). This role requires building and operating a secure, reliable pipeline to ingest, transform, validate, and deliver complex structured datasets. The senior DevOps engineer will own the infrastructure, automation, and security that make high-volume, high-accuracy data delivery possible, which includes support for LLM-assisted quality validation workflows.  

As a DevOps Engineeryou will: 

  • Design, build, and maintain CI/CD pipelines that automate ingestion, transformation, and packaging of HTS datasets  
  • Design, implement, and maintain cloud-based infrastructure for data processing in AWS GovCloud. 
  • Work with the architect to manage the cloud infrastructure supporting data processing workloads, document storage, and LLM-based validation tooling. 
  • Support the OCR and PDF extraction pipeline infrastructure for digitizing historical HTS publications.  
  • Build monitoring, alerting, and logging capabilities to track pipeline health, data processing status, and deliverable readiness. 
  • Implement automated testing and validation for data pipelines. 
  • Coordinate with trade analysts and the project manager to ensure infrastructure supports delivery milestones as per project requirements 
  • Promote DevOps best practices, including infrastructure-as-code, version control, and automation.  
  • Document systems, architecture, and operational procedures 

Required Qualifications 

  • Bachelor's or master's degree in computer science or Engineering  
  • 4+ years of experience in DevOps, SRE, or platform engineering roles.  
  • Strong experience with cloud platforms (AWS, Azure, or GCP).  
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.  
  • Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI). 
  • Experience with containers (Docker) and orchestration (Kubernetes). 
  • Knowledge of infrastructure-as-code (Terraform, Bicep, or similar).
  • Hands-on experience designing, operating, and maintaining versioned data engineering and machine learning pipelines, with an emphasis on reproducibility, lineage, and controlled releases.
  • Demonstrated experience implementing monitoring and evaluation frameworks for LLM-based systems, tracking output quality, operational cost, and latency.

Preferred Qualifications 

  • Experience working with HTS or Trade Data pipelines  
  • Strong Python skills with a focus on data processing, transformation, and pipeline development 
  • Familiarity with workflow management tools (Nextflow, Snakemake, WDL/Cromwell). 
  • Understanding of Trade data formats (CSV, Excel, or JSON formats) 
  • Experience with big data technologies (Spark, Hadoop) or distributed computing. 
  • Knowledge of data storage solutions for large datasets (object storage, distributed file systems). 
  • Experience with HPC schedulers (SLURM, PBS, LSF). 

Our estimated salary range for this position is $90,000-$130,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on education, experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.