DevOps Engineer - CI/CD Pipeline

<p><p>The DevOps Engineer will be responsible for managing the complete DevOps lifecycle with a focus on developing and maintaining CI/CD pipelines, onboarding infrastructure for the ORS platform, and automating processes to reduce manual effort and improve system reliability.<br/><br/>The role demands a strong understanding of Linux systems, scripting, observability tools, and modern DevOps methodologies.<br/><br/>The engineer will work closely with global teams and stakeholders to foster a collaborative and inclusive Responsibilities : </b></p><p><br/></p>- Design, build, and maintain CI/CD pipelines using Jenkins and Git.<br/><br/></p><p>- Onboard and manage infrastructure components for ORS platform.<br/><br/></p><p>- Develop and maintain DevOps tooling and automation to optimize operations.<br/><br/></p><p>- Drive environment stability and implement infrastructure hygiene standards.<br/><br/></p><p>- Implement observability and telemetry using tools like Splunk, Prometheus, Loki, and Grafana.<br/><br/></p><p>- Liaise with global teams, stakeholders, and RPE to ensure smooth delivery and support.<br/><br/></p><p>- Manage hybrid infrastructure (cloud & on-prem) for large-scale platforms.<br/><br/></p><p>- Support Kubernetes, Docker-based deployments and cloud platforms (AWS, Azure, Skills : </b></p><p><br/></p>- Strong in Linux, OS fundamentals, and networking.<br/><br/></p><p>- Advanced scripting skills in Python and Bash.<br/><br/></p><p>- Proficient with DevOps tools Jenkins, Git, Autosys, Terraform, etc.<br/><br/></p><p>- Experience in observability tools Splunk, Prometheus, Loki, Grafana.<br/><br/></p><p>- Familiar with containerization and orchestration tools : Docker, Kubernetes.<br/><br/></p><p>- Experience in managing cloud platforms (AWS/Azure/GCP).<br/><br/></p><p>- Strong analytical and troubleshooting skills.<br/><br/></p><p>- Excellent interpersonal and communication skills.<br/><br/></p><p>- Proactive learning attitude toward new systems and / Nice to Have : </b></p><p><br/></p>- Exposure to data domains, ETL workflows, or related data engineering concepts.</p><br/></p> (ref:hirist.tech)