Senior DevOps Platform Engineer: AWS, CI/CD & AI Tools

Expert Technology Services

Needham (MA)

On-site

USD 110,000 - 170,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Expert Technology Services in Needham, MA is seeking a seasoned DevOps/Platform Engineer to support enterprise DevOps platforms and automation solutions. You will administer and upgrade tools like Jenkins, GitHub Enterprise, Jira Cloud, Confluence Cloud, and HashiCorp Vault, design CI/CD pipelines with Jenkins and GitHub Actions, and automate infrastructure using Python, Bash, and PowerShell on AWS.

You will monitor health, troubleshoot production issues, and contribute to modernization

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
4-5 years of relevant experience in DevOps, Platform Engineering, or Cloud Engineering.
Hands-on experience with enterprise DevOps tools listed above.
Expertise in DevOps principles, CI/CD pipelines, SDLC, Git workflows, and GitHub Actions.
Strong programming and scripting abilities in Python, Bash, and PowerShell.
Experience with AWS, Docker, Kubernetes, and cloud infrastructure automation.
Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack).
Experience with security best practices including SSO, identity management, and secrets management.

Responsibilities

Serve as a well-rounded DevOps/Platform Engineer supporting enterprise DevOps platforms and automation solutions.
Administer, maintain, and upgrade DevTools such as Jenkins, GitHub Enterprise, Jira Cloud, Confluence Cloud, Bitbucket, SonarQube, JFrog Artifactory, and HashiCorp Vault.
Design and manage CI/CD pipelines using Jenkins, GitHub Actions, and DevOps best practices.
Automate infrastructure, deployments, and operational processes primarily using Python, Bash, and PowerShell.
Deploy and support AWS cloud infrastructure using Infrastructure as Code methodologies.
Implement and manage secrets management, authentication, and security integrations (e.g., HashiCorp Vault).
Monitor platform health, troubleshoot production issues, conduct root cause analysis, and drive continuous improvements.
Utilize AI-powered engineering tools to enhance automation, productivity, troubleshooting, and documentation.
Collaborate on platform modernization initiatives and stay updated on DevOps, Cloud, Security, and AI engineering best practices.
Work within Agile/Scrum methodologies and integrate with enterprise systems.
Engage in the migration of Jira and Confluence from Data Center to Cloud.
Support includes platform lifecycle management, patching, and system integrations.