Senior MLOps Engineer - AWS AI Pipelines & CI/CD

Ignite IT, LLC; Suitland, Northern (MD, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Flexible spending account

Health insurance

Life insurance

Paid time off

Professional development assistance

Referral program

Tuition reimbursement

Vision insurance

Job summary

Ignite IT Hub is seeking a senior MLOps Engineer to support reliable operation and controlled improvement of the U.S. Census Bureau's AWS-based LLM Autocoder. You will maintain software and data pipelines, automate testing and releases, and help resolve production issues.

Working with AI/ML engineers and evaluators, you will make approved changes reproducible, observable, and recoverable across the American Community Survey (ACS) and related applications.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent experience.
• 8+ years in DevOps/cloud/software/data engineering; 3+ years ML systems.
• Strong AWS and Linux with Python/shell scripting; knowledge of IAM/storage/monitoring.

Responsibilities

• Maintain and improve CI/CD pipelines and data workflows with government-approved tools.
• Version and trace code, models, prompts, configurations, data dependencies, and eval artifacts.
• Automate build, test, packaging, and deployment steps; attach validation evidence.
• Monitor health, latency, throughput, and resource use; tie ML monitoring to metrics.
• Diagnose production incidents and document root causes; verify recovery.
• Prepare release and rollback procedures; ensure compliant changes.
• Apply access control and sensitive-data handling; maintain runbooks and configs.

Skills

AWS

Linux

Python

Shell scripting

Git

CI/CD

ML experiment tracking

Production troubleshooting

Education

Bachelor's degree or equivalent

Tools

CI/CD pipelines

Monitoring tools

Job description

Ignite IT Hub is seeking a senior MLOps Engineer to support reliable operation and controlled improvement of the U.S. Census Bureau's AWS-based LLM Autocoder. You will maintain software and data pipelines, automate testing and releases, and help resolve production issues.

Working with AI/ML engineers and evaluators, you will make approved changes reproducible, observable, and recoverable across the American Community Survey (ACS) and related applications.