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Strong Capgemini brand, metro location, and a generalist Lead Infrastructure role attracting many applicants.
Specialized Big Data and cloud operations skills partially transferable, banking experience preferred.
Multiple mandatory technical skills and production support experience increases screening rigor but no explicit years requirement.
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.
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.
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.