Lead Infrastructure Engineer
Capgemini (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Provide 24x7 production and application support including critical incident management with RCA and SLA adherence.
- Support and monitor Big Data platforms including Hadoop ecosystem components like Spark, Kafka, Hive, and associated data pipelines and batch jobs.
- Manage deployments and environments involving Docker, Kubernetes, Helm, Azure, and coordinate issue resolution with higher-level (L3/L4) teams.
Minimum Requirements
- Experience in Production Support/Application Support roles is mandatory.
- Hands-on expertise with Hadoop ecosystem (HDFS, Hive, Spark, Kafka) and container/orchestration tools (Docker, Kubernetes, Helm) on Azure environment.
- Proficiency in Python, Shell scripting, Linux OS, and familiarity with monitoring tools such as Splunk, ELK, Grafana.
- Knowledge of ITSM tools like ServiceNow, Jira, and ITIL processes; Domain experience in Banking or Capital Markets preferred; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced engineer comfortable managing mission-critical applications in enterprise-scale production environments using Big Data and cloud technologies.
- Capable of effectively managing incident lifecycles, coordinating with multiple support levels and global teams under SLA constraints.
- Technically skilled in both platform support (Big Data, cloud, containerization) and monitoring/automation scripting, with a background or interest in Banking/Capital Markets domain.