About the Role

Capgemini is seeking a Lead Infrastructure Engineer to provide 24x7 production support for enterprise-scale Big Data and cloud environments. The role involves managing critical incidents, ensuring SLA adherence, and collaborating with global teams to resolve issues across Hadoop, Azure, and containerized platforms.

Skills

Hadoop Spark Kafka Hive Docker Kubernetes Helm Azure Python Shell Scripting Linux Splunk ELK Grafana ServiceNow ITIL

Full job details

Your Role

Provide 24x7 Production & Application Support
Manage critical incidents, RCA, and SLA adherence
Support Hadoop, Spark, Kafka, Hive, and Big Data platforms
Monitor deployments, batch jobs, and data pipelines
Handle ServiceNow, Change, Incident & Problem Management
Support Docker, Kubernetes, Helm, and Azure environments
Coordinate with L3/L4 teams for issue resolution

Your Profile

Strong experience in Production Support/Application Support
Hands-on with Hadoop Ecosystem (HDFS, Hive, Spark, Kafka)
Knowledge of Docker, Kubernetes, Helm, and Azure
Experience with Splunk, ELK, Grafana, and monitoring tools
Proficient in Python, Shell Scripting, and Linux
Familiar with ServiceNow, Jira, and ITIL processes
Banking/Capital Markets domain experience preferred

What You Will Love Working Here

Work on enterprise-scale production environments
Gain exposure to Big Data and Cloud technologies
Handle mission-critical applications and incidents
Collaborate with global teams and stakeholders
Grow your expertise in Production Support, DevOps, and Cloud Operations