Big Data DevOps Engineer

In this role you help drive a transformational big data program for a UK client, focusing on scalable data platforms and advanced visualization. You will design, deploy and secure cloud-based Hadoop infrastructure and lead CI/CD automation in a multi-tenant environment. You collaborate with cross-functional teams and stakeholders to ensure production readiness and platform reliability. This role offers hands-on work with cutting-edge big data tech and a clear impact on enterprise analytics. You’ll be part of an agile delivery model in London, contributing to a high-visibility program with senior stakeholders.

• Represent Cognizant as a DevOps expert to clients and partners to build trust and drive opportunities
• Design, deploy and maintain complex Linux-based infrastructure
• Set up a secure Hortonworks Hadoop cluster in AWS, including administration and capacity planning
• Automate operations with CI/CD pipelines, versioning and containerization
• Run a data platform for multiple tenants and client apps for transactional and analytical use cases
• Coordinate production readiness by integrating development outputs and supporting live systems
• Collaborate with leads and developers to deliver and guide the team toward success

• Infrastructure automation tools: Ansible, Terraform, SaltStack, Puppet, and Docker
• AWS cloud setup and administration
• Strong Linux administration skills
• Python and Java proficiency
• CI tools: Jenkins/Nexus
• Java build systems: Maven, Gradle
• GitHub for code versioning and branching
• Configuration management, backup/restore with Puppet and custom Bash scripts
• System monitoring: Zabbix, Prometheus, Nagios
• ELK stack: Elasticsearch, Logstash
• Hadoop cluster administration, HDP security with Knox and Kerberos
• Agile experience
• Excellent communication and documentation skills
• Ability to articulate tech and business trade-offs

• excellent communication
• team player
• can-do attitude
• Python
• Java
• Hadoop/HDP