DevOps Lead Engineer

Qualification

• DevOps Lead with 8-12 years of experience
• Expert on setting up K8s clusters for large scale infrastructure
• Expert or at least aware of Ansible, Prometheus, Open Telemetry, Logstash, Kafka, ElasticSearch setup and administration perspective (if not aware of any particular thing, should be able to learn quickly)
• Having hands on experience on infrastructure, security, monitoring for enterprise applications and knowledge of what options are appropriate for different scenarios will be needed.
• Hands on experience on setting up CICD pipelines.
• Must have extensive experience on deploying the microservices/web-application on Kubernetes platform.
• Should be capable to design CICD and release management process.
• Must be familiar with security and DevOps best practices on K8s platform.
• Good concept on Docker and orchestration tools.
• Ability to explore DevOps tools/technologies and guide in taking decision on it.
• Must have exposure to python or shell scripting and familiar with Linux OS.
• Must have exposure to observability tools.
• Ability to analyze logs for error and exceptions – Ability to drill down errors at application level etc.
• Should be familiar with various monitoring tools – Splunk/Kibana/Grafana/Prometheus etc.
• General operational exposure such as good troubleshooting skills, understanding of system’s capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks.
• Strong verbal and written communication skills are mandatory.
• Excellent analytical and problem-solving skills are mandatory.
• Good knowledge of Agile or Scrum methodologies
• Should be self-motivated and able to lead Devops team.
  

Role

• Good aptitude and attitude, Flexible to upskill and cross-train.
• Willing to provide onsite/night overlaps.
• Must be able to lead and guide the team on technical challenges.
• Manage the team of 5+ plus engineer and keep high level track of their work/deliverables.
• Ability to apply and share DevOps culture of industry trends and developments to improve software delivery practice at scale
• Develop scripts for provisioning cloud resources.
• Assist in operational enablement in different environments.
• Assist use cases team in deploying artifacts in cloud environments.
• Automate the creation of CICD pipelines for build/Deploy from Dev into UAT environment and then onto production
• Creation/customization of Docker images on Kubernetes cluster.
• Work with Infra, security & networking teams to resolve firewall and port issues in cloud.
• Monitor daily operations – service restoration, Debug job failures.
• Assist use cases teams in troubleshooting failures.
• Identify manual process and activities and automate using shell, Python, etc.
• Continuous monitoring, Troubleshooting, and debugging of issues in the eco-system.
• Prepare knowledge base and documents on environment configuration, deployment, etc.
• Contribute to improve the efficiency of the assignment by quality improvements & innovative suggestions.
  

Experience

Job Reference Number