DevOps Engineer - AWS Infrastructure (5-12 yrs)

Requirements :

- He/She/They should have 6 to 10 years of experience in DevOps Engineering

- Hands on Experience in any of BD (Hadoop, Kafka, EMRs, Ranger, Spark, Hive, Starburst, Looker, TigerGraph, Neo4j) will be a big plus

- Strong practical knowledge of managing AWS Infrastructure specially EC2, Load Balancers, Cloud Front, Elastic Cache, EBS, S3, IAM, Cloud Watch, Auto Scaling, Lambda, etc.

- Understanding of open source server software (such as tomcat, hbase, Kafka, MYSQL, Redis, Elasticsearch)

- Very good Experience in Infra automation (Ansible, Terraform, could formation or others)

- Hands-on Experience in Kubernetes / EKS / Docker / ECS etc

- Hands-on experience in writing automation using Shell, Python, PowerShell.

- Strong experience in Jenkins / Maven / Gradle etc

- Experience in DevOps and CI/CD pipeline using JIRA, Confluence, Jenkins, Git, Maven, Nexus, docker.

- Hands-on in CI/CD automation for EC2 / ASG / EKS / ECS using helm / jenkins and other tools

- Experience in Configuration Management / DevOps / CI:CD / Agile

- Very good knowledge in administer and troubleshoot Linux based systems like centos / ubuntu etc

- Good problem solving and troubleshooting skills

- Good experience in security compliance fixing on Systems like OS upgrade / Patching / Kernel optimization etc.

- Understanding of security in cloud solutions (API security, HTTPS, TLS, etc).

- Understanding network topologies and common network protocols and services (DNS, HTTP(S), SSH, FTP, SMTP).

- Knowledge of SQL Queries will be added advantage

Preferred Qualification :

- Bachelor's/Master's Degree in Computer Science or equivalent

Skills that will help you succeed in this role :

Tech Stack :

- Lang : Java

- DB : RDBMS

- Messaging : Kafka/RabbitMQ

- Caching : Redis/Aerospike, Micro services, AWS

- Strong experience in scaling, performance tuning & optimization at both API and storage layers

- Hands-on leader, and problem solver with a passion for excellence.