DevOps Engineer — AWS & Kubernetes (Hybrid)

Mission Technologies, a division of HII

Columbia (MD)

Hybrid

USD 92,000 - 115,000

Full time

31 hours ago
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Benefits offered by this job

Healthcare premium
401k benefit
PTO + 10 paid holidays
Education/training allowances

Job summary

Enlighten is seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, CI/CD, AWS, Linux, scripting in Bash and Python, and a background in Big Data solutions.

Work is performed in a hybrid environment (on average 2-3 days a week) with a great team. If you have a passion for DevOps and are interested in working with a dynamic and innovative team, we

Qualifications

  • Clearance: TS/SCI eligibility; U.S. citizenship.
  • 2+ years in DevOps or software development with related degree; or 0 years with a Masters.
  • Experience with container orchestration, cloud deployment, and IaC tools.

Responsibilities

  • Support cloud infrastructure deployment in AWS, including EKS.
  • Automate deployments and implement CI/CD pipelines.
  • Manage Kubernetes and cloud infrastructure on AWS.
  • Collaborate with development teams to integrate applications.
  • Monitor production systems and troubleshoot complex issues.
  • Improve processes to optimize performance and reliability.
  • Stay current with new technologies and industry trends.

Skills

Problem-solving
Excellent communication
Hybrid collaboration

Education

Bachelor's degree in related field
Master's degree in related field
High School Diploma or equivalent

Tools

Kubernetes
AWS (EKS, EC2, S3)
Terraform
Ansible
Python
Bash
Git
Flux
Helm
Hadoop / Spark / Kafka

Job description

Enlighten is seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, CI/CD, AWS, Linux, scripting in Bash and Python, and a background in Big Data solutions.

Work is performed in a hybrid environment (on average 2-3 days a week) with a great team. If you have a passion for DevOps and are interested in working with a dynamic and innovative team, we

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