Senior DevOps Engineer: Kubernetes, AWS & Python | Hybrid

Erias Ventures, LLC.; Columbia (MD); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Above Market Pay

Roth 11% / 401k

Spot Bonuses

Professional Development

Job summary

Erias Ventures, LLC is seeking a highly motivated DevOps Engineer to join our fast-paced development team in Columbia, MD. The role focuses on Kubernetes, AWS, CI/CD, and automation to deliver scalable, secure infrastructure in hybrid environments.

You will work across Linux, scripting in Bash and Python, and collaborate with engineering teams to deploy services, monitor reliability, and optimize performance while complying with DoD 8140/8570 requirements.

Qualifications

• 5+ years in DevOps or software development with related degree.
• Active DoD 8140/8570 compliance certifications (Security+) within 30 days of hire.
• Hybrid work with 2–3 days/week in Columbia, MD office or at client site.

Responsibilities

• Support cloud infrastructure in AWS, especially EKS.
• Automate CI/CD pipelines for reliable deployment and rapid scaling.
• Manage Kubernetes containers and AWS infrastructure.
• Collaborate with development teams to integrate apps into operations.
• Monitor production systems and troubleshoot complex issues.
• Continuously improve processes and tooling for performance.
• Stay updated with new technologies to enhance infrastructure.
• Perform additional duties as assigned.

Skills

Kubernetes

AWS

Bash scripting

Python programming

Go programming

Git version control

Flux deployment

Education

Bachelor's degree in related field

Master's degree in related field

High School Diploma or equivalent

Tools

Terraform

Ansible

Job description

Erias Ventures, LLC is seeking a highly motivated DevOps Engineer to join our fast-paced development team in Columbia, MD. The role focuses on Kubernetes, AWS, CI/CD, and automation to deliver scalable, secure infrastructure in hybrid environments.

You will work across Linux, scripting in Bash and Python, and collaborate with engineering teams to deploy services, monitor reliability, and optimize performance while complying with DoD 8140/8570 requirements.