Infrastructure DevOps Lead Analyst

• Design, implement, and support end-to-end CI/CD pipelines using tools such as Lightspeed and Jenkins
• Convert Python scripts and configure to align with CI/CD standards in Light speed pipeline
• Code review and ensure sure python scripts are in-line with CI/CD standards with proper unit test coverage and vulnerability assessments
• Integrate CI/CD pipelines with Bitbucket and GitHub for source control and change management
• Develop and maintain automation using Shell scripting to improve deployment efficiency and reliability
• Design, develop, and maintain high-quality Python applications on microservice architecture
• Provide hands-on support for OpenShift/Kubernetes platforms, including application deployments, capacity monitoring, troubleshooting, and performance optimization
• Troubleshoot and debug production issues, optimizing application performance and stability
• Develop and maintain automated tests (unit, integration) to ensure code quality and system reliability
• Support containerized microservices architectures and assist with service mesh concepts and implementations
• Monitor application and container logs, identify issues, and perform root cause analysis for production incidents
• Utilize observability tools such as Kibana and Grafana to maintain platform health, stability, and performance
• Support Software Development Life Cycle (SDLC), release, and promotion processes using tools such as ServiceNow
• Ensure adherence to change management, release governance, and operational readiness standards
• Follow and contribute to infrastructure and DevOps standards, policies, and best practices
• Identify, assess, and escalate risks related to system stability, security, and compliance
• Partner with development, infrastructure, and operations teams to resolve technical challenges
• Participate in code reviews, providing constructive feedback
• Act as a subject matter resource for platform and DevOps-related topics
• Provide guidance and informal mentoring to junior analysts
• Appropriately assess risk when business decisions are made

• 6+ years of experience in DevOps, application development, platform engineering, or infrastructure delivery roles
• Strong Python (3.1x) development skills
• Solid understanding of CI/CD pipelines and real-time experience with DevOps methodologies
• Strong proficiency in Python 3.x/Anaconda, debugging skills
• Strong experience building and supporting CI/CD pipelines (Jenkins, Lightspeed, GitHub/Bitbucket)
• Hands-on experience with OpenShift and/or Kubernetes in production environments
• Proficiency in Shell scripting for automation and operational tasks
• Experience with release and change management platforms (e.g., ServiceNow)
• Practical experience with container monitoring and logging tools such as Kibana and Grafana
• Experience managing hardware or platform capacity planning
• Solid understanding of SDLC processes and DevOps practices
• Strong cross-functional communication skills
• Proven analytical and problem-solving skills
• Ability to work independently with limited supervision and exercise sound judgment
• Demonstrated ability to collaborate, influence, and mentor
• Experience driving operational improvements and process optimization
• Background in Financial Services or large, complex, and/or global environments
• Ability to work effectively under pressure and meet deadlines
• Experience working with distributed or virtual teams
• Bachelor’s/University degree equivalent experience

Master’s degree preferred