Lead Devops Engineer

Detailed Job Description

Role – Lead DevOps Engineer Skills – Mandatory : Datadog -Implementation & monitoring (RUM, Session Replay, APM, Tracing), AWS, IaC (CloudFormation/CDK) Skills - Primary : Datadog, AWS, CloudFormation/CDK, GitHub Actions, AWS CodePipeline Skills - Good to have :Docker/Kubernetes, GCP/Azure exposure, load & performance testing tools Qualification :BTech / MCA / Equivalent technical degree Total Experience :8+ years Work Location :Kochi/TVM/Remote Expected Date of Onboarding :Immediate Certification (mandatory & good to have) :AWS Job Purpose (both Onsite / Offshore) Experion Technologies is looking for a Lead DevOps Engineer. The role owns the implementation and continual improvement of the Datadog observability platform with a strong focus on the user experience lens, works as a virtual team member across engineering squads on their DevOps and infrastructure needs, and provides dedicated support through campaign readiness activities and campaign period,approx. six months. Job Description / Duties and Responsibilities • Own the implementation and continual improvement of the observability platform (Datadog), particularly but not limited to the user experience lens (RUM, Session Replay, APM, distributed tracing). • Work across engineering squads as a virtual team member, helping with their DevOps and infrastructure requirements as well as helping them deliver observability as part of their engineering activities. • Collaborate with development teams to establish and enhance CI/CD pipelines, including source code management, build processes, and deployment automation. • Design, configure, and maintain infrastructure as code using CloudFormation and CDK, comfortable both reviewing an existing estate and authoring new infrastructure. • Participate in campaign readiness activities, including but not limited to supporting load testing and participating in gamedays as an incident responder. • Provide extended support during the campaign weeks alongside other DevOps resources and the wider engineering community. • Liaise closely with the managed infrastructure provider on infrastructure requirements and activities, acting as a key point of contact between the provider and the internal platform team. • Lead incident investigations on high-traffic systems through metrics and traces, driving root cause analysis and resolution rather than only providing tooling for others. • Monitor and optimize cloud-based systems, addressing performance, availability, and scalability issues. • Ensure incident tracking tools are kept up to date in accordance with established norms and processes, documenting findings and concerns Job Specification / Skills and Competencies • Sound knowledge of AWS; an AWS certification would be a plus. • Strong hands-on experience instrumenting and configuring Datadog, particularly from a user experience perspective — RUM, Session Replay, distributed tracing, and APM. • Solid infrastructure-as-code capability (CloudFormation and CDK), comfortable reading and reviewing someone else's estate as well as writing their own. • A good working knowledge of GitHub Actions as well as AWS Code Pipeline. • Real incident response experience on high-traffic systems — able to lead an investigation through metrics and traces, not just provide the tooling for someone else to. • Exposure to load and performance testing as part of readiness work. • The presence to be a key liaison between the infrastructure partner and the internal platform team. • Availability for extended support hours during the campaign period. • Strong experience in containerization and container orchestration technologies (Docker, Kubernetes) is a plus. • Comprehensive technical expertise across DevOps toolkits, including Git/version control and comparable CI/CD technologies. • Excellent analytical and interpersonal skills, with the ability to express technical information clearly at different organizational levels. • Strong debugging/troubleshooting skills. • 8+ years of hands-on experience in a DevOps/SRE role within a cloud-focused environment. • Degree in Computer Science or a related technical discipline, or an equivalent combination of education, certifications, and work experience