Responsibilities  

Implement complex DevOps pipelines for automated build, test, and deployment processes. 

Will be responsible for containerization of Engineering code/configuration artifacts using Kubernetes and Docker. 

Ensure container security and optimize for different vulnerabilities in microservices and Jenkins. 

Integrate and manage test automation in DevOps pipelines across applications and environments. 

Collaborate with IT Systems Architecture and Engineering teams to drive results.   

Actively participate in production support triage calls for key production issues.  

Estimate development effort, plan implementations and system rollouts.  

Develop a solid understanding of critical systems and processes. 

Criteria  

5+ years of overall experience in developing and delivering DevOps with multiple active tracks.   

2+ years of Technical expertise with hands on experience in Confluent Kafka, GitHub, Kubernetes Services, Docker Configuration, setting Jenkins pipelines, Maven, Gradle. 

Expertise in implementing Python scripts for automation and API integrations. 

Experience in developing Ansible playbooks for automating tasks in proxy settings, Tomcat jobs, microservices, and custom tools. 

Technical proficiency in setting up and maintaining dashboards for monitoring VMs, legacy applications, Kubernetes environments using Prometheus & Grafana, AppDynamics, etc. 

Strong verbal and written communication skills.  

Self-motivated and able to work independently.  

Ability to work collaboratively and influence others within a matrix environment.  

Bachelor's of Engineering degree in Computer Science, Engineering or related field, or equivalent work experience.