Role Description
Job Code 15016 Locations Bengaluru Minimum Experience 6 Maximum Experience 10 Mandatory Skills AWS,Kubernetes,DevOps,Ci/Cd,Jenkins,Iac,Incident Management,Scripting,AI,Site Reliability Engineering Skill to Evaluate AWS,Kubernetes,DevOps,Ci/Cd,Jenkins,Iac,Incident Management,Scripting,AI,Site Reliability Engineering Experience 6 to 10 Years Location Bengaluru We are looking for an experienced Senior DevOps SRE Engineer to join our team. As a Senior DevOps SRE Engineer, you will be responsible for automating and streamlining our cloud infrastructure and deployment processes, ensuring the scalability, reliability, and security of our systems.
Education Qualificaiton Graduate Job Title Senior DevOps SRE Engineer Roles &
Responsibilities 6+ years of experience as an SRE Engineer, DevOps Engineer, or similar software engineering role. Robust technical skills in Cloud Infrastructure, especially AWS, CI/CD pipelines such as Jenkins and Kubernetes. Act as a subject matter expert for proposed designs, architecture reviews, and implementations.
Hands-on experience in production monitoring, incident management, emergency response, and root cause analysis.
Contribute to automation of manual work and continuous improvement of existing tooling and operational workflows.
Experience with observability tools such as Grafana, Prometheus, Datadog, and Splunk. Track record of debugging and problem-solving in applications running on microservice architecture. Good communication skills for working effectively within the team and with cross-functional stakeholders. Work directly with development teams to integrate, deploy, and build reliable solutions. Write infrastructure-related code when needed using Python, Linux Shell scripting, or Groovy.
Experience with infrastructure as code tools such as Terraform, CloudFormation, or similar technologies. Participation in an on-call rotation with the team.
Experience using AI-assisted tools and automation to improve operational efficiency, incident response, troubleshooting, documentation, and engineering productivity. Familiarity with applying AI/ML or GenAI capabilities in DevOps/SRE workflows, such as log analysis, anomaly detection, noise reduction, automated RCA assistance, knowledge base generation, and intelligent runbook automation.
Skills
AWS, Kubernetes, CI/CD, DevOps
📌 Lead I - DevOps Engineering (Bengaluru)
🏢 UST
📍 Bengaluru