Keys to the position:
Primary profile: well-rounded DevOps / Platform Engineer
Important environment exposure: Jira, Confluence, Bitbucket, GitHub, Jenkins
Current project context: Jira and Confluence moving from Data Center to Cloud
Core supporting skills: AWS, Docker, Python scripting
Nice to have: Jira Align, Rovo AI, CloudFormation
Not critical: Kubernetes, HashiCorp Vault
Responsibilities
Design, implement, and support enterprise DevOps platforms, CI/CD pipelines, and automation solutions.
Administer and maintain the DevTools ecosystem, including Jenkins, GitHub Enterprise, Jira Cloud, Confluence Cloud, Bitbucket, SonarQube, JFrog Artifactory, and HashiCorp Vault.
Manage platform upgrades, patching, lifecycle management, and integrations with enterprise systems.
Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions and DevOps best practices.
Automate infrastructure, deployments, and operational processes using Python, Bash, and PowerShell.
Deploy and support cloud infrastructure on AWS using Infrastructure as Code.
Implement and manage secrets management, authentication, and security integrations using HashiCorp Vault.
Monitor platform health and performance, troubleshoot production issues, perform root cause analysis, and drive continuous improvements.
Utilize AI-powered engineering tools such as GitHub Copilot, Claude, and other LLM-based solutions to improve automation, developer productivity, troubleshooting, and documentation.
Stay current with DevOps, Cloud, Security, and AI engineering best practices and contribute to platform modernization initiatives.
Required Qualifications
Bachelor s degree in computer science engineering, Information Technology, or a related field.
4-5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or a related role.
Hands-on experience administering enterprise DevOps platforms including Jenkins, GitHub Enterprise, Jira Cloud, Confluence Cloud, Bitbucket, SonarQube, JFrog Artifactory, and HashiCorp Vault.
Strong knowledge of DevOps principles, CI/CD pipelines, SDLC, Git workflows, and GitHub Actions.
Experience with AWS, Docker, Kubernetes, and cloud infrastructure automation.
Strong programming and automation skills using Python, with experience in Bash and PowerShell scripting.
Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK Stack.
Experience implementing SSO, identity management, security integrations, and secrets management solutions.
Familiarity with REST APIs, platform integrations, and Agile/Scrum methodologies.
Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar platforms to enhance software delivery and operational efficiency.
Strong troubleshooting, analytical, communication, and collaboration skills.
Technical Skills
DevOps & CI/CD: Jenkins, GitHub Enterprise, GitHub Actions, Jira Cloud, Confluence Cloud, Bitbucket, SonarQube, JFrog Artifactory
Cloud & Infrastructure: AWS, Docker, Kubernetes
Programming & Automation: Python, Bash, PowerShell, REST APIs
Security & Secrets Management: HashiCorp Vault, SSO, Identity & Access Management
Observability: Prometheus, Grafana, ELK Stack
AI & Productivity: GitHub Copilot, Claude, ChatGPT, AI-Assisted Software Development
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
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