Senior DevOps Engineer: Jenkins, Kubernetes & GenAI

Accenture Federal Services

Chantilly (VA)

On-site

USD 94,000 - 188,000

Full time

2 days ago
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Job summary

Accenture Federal Services is seeking a Senior DevOps Engineer to design, build, and optimize Jenkins-based CI/CD pipelines across multiple environments. You will drive automation efforts, enable secure deployment, and work with cross-functional teams to ensure scalable delivery of applications and ML solutions.

The role requires TS/SCI clearance and a strong automation mindset. Ideal candidates have 8+ years of experience, expertise in Docker/Kubernetes, and proficient scripting in Python or

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 8 years of relevant professional experience.
  • Experience designing and supporting enterprise CI/CD pipelines using Jenkins.
  • Experience with containerization technologies including Docker and Kubernetes.
  • Strong scripting and automation using Python, Bash, PowerShell or similar.
  • Experience with Agile development and DevOps practices.
  • Knowledge of cloud platforms and infrastructure automation tools.

Responsibilities

  • Design, build, maintain, and enhance Jenkins-based CI/CD pipelines.
  • Support software development and deployment across environments.
  • Drive automation initiatives for reliable, secure, and scalable delivery.
  • Collaborate with cross-functional stakeholders to resolve issues.

Skills

CI/CD pipelines
Jenkins
Docker
Kubernetes
Python
Bash
PowerShell
Agile
DevOps
Cloud platforms
Automation
Scripting

Education

Bachelors in CS/IT/Engineering

Tools

Jenkins
Docker
Kubernetes
Terraform
Ansible
Git
GitHub
GitLab
Bitbucket

Job description

Accenture Federal Services is seeking a Senior DevOps Engineer to design, build, and optimize Jenkins-based CI/CD pipelines across multiple environments. You will drive automation efforts, enable secure deployment, and work with cross-functional teams to ensure scalable delivery of applications and ML solutions.

The role requires TS/SCI clearance and a strong automation mindset. Ideal candidates have 8+ years of experience, expertise in Docker/Kubernetes, and proficient scripting in Python or

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