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DevOps Engineer


Kotak Mahindra Bank


Location

Bangalore | India


Job description

DevOps & Cloud Infrastructure Engineer To help us build robust and scalable systems that improve the customer experience, we’re looking for a DevOps engineer who can be responsible for developing and provisioning infrastructure, observability platform tools such as Prometheus, Grafana, and distributed logging and tracing stacks. The ideal candidate will have a background and familiarity with Shell Scripting Python, and will work with developers and engineers to ensure that infrastructure and observability practices and processes work as intended. Objectives of this role Building and implementing new DevOps tools, Terraform modules Work to automate and improve development and release process Design and implement security controls at the infrastructure layer Automate release across environments including disaster recovery region Responsibilities Deploy updates and fixes, and provide Level 2 technical support Build tools to reduce occurrence of errors and improve customer experience Develop software to integrate with internal back-end systems Design and implement distributed logging and tracing stack Develop scripts to automate metrics collection, operational dashboard Design procedures for system troubleshooting and maintenance Required skills and qualifications Experience as a DevOps engineer or in a similar software engineering role Proficiency with Git version control system Good knowledge of Shell Scripting or Python Working knowledge of Terraform, databases and SQL Working knowledge of Prometheus, Grafana Problem-solving attitude and collaborative team spirit Preferred skills and qualifications Bachelor degree in computer science, engineering, or relevant field Experience in civil engineering or customer experience Experience in developing/engineering applications for a large company Prometheus, PromQL expressions Grafana dashboards, PagerDuty, Jaegar (any) OpenTelemetry, OpenTracing (any) EasticSearch, LogStash, Kibana (ELK) stack big plus Micrometer, Loki, Google BigQuery logging (any) Automate failover/scale-up/scale-down Automate operational, perf testing, activities Load testing, chaos testing a plus K6/JMeter/ChaosToolkit/Gremlin Hands on AWS infrastructure-as-code One or more of Kubernetes, Helm, Ansible, Terraform


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