Lead DevOps

What will you do:

• Design and automate systems for 24x7 monitoring, performance tuning and optimization of infra.
• Managing RDBMS - (MySQL) and NOSQL (Mongo). Perform database administration tasks including
• automation, performance monitoring and tuning and query optimization. Replication configuration in
• MySQL (Master slave/Multi source slave, Master-Master) and tuning MySQL configurations as per the
• workload. Handle common database procedures, such as upgrade, backup, recovery, migration etc.
• Installing and maintaining packages, updating patches, monitoring network and system services.
• Day to day support to developers/testers to help them to develop/troubleshoot application issues in
• development, test and production environments.
• Build and maintain tools for deployment. Automate and streamline operations and processes.
• Installation, maintenance and administration of Linux Centos7 servers. Implement and follow security
• guidelines.

What makes you a great fit:

• Experience in highly available infrastructure based on Amazon cloud for e-commerce business.
• Experience in designing or implementing microservices architecture with containerization tools like
• Docker, Swarm and Kubernetes.
• Experience with load balancer such as HAProxy ELB/ALB and NGINX.
• Strong proficiency in MySQL database management tasks including database creation, user
• management, replication setup, slow query monitoring, etc. Understanding of MySQLs underlying storage
• engines, such as InnoDB and MyISM and knowledge of binlog and point in time recovery.
• Familiarity with NoSQL databases such as MongoDB.
• Good knowledge on continuous integration and deployment tools like Jenkins.
• Proficient in automation tools like Ansible/Consul/Terraform. Automate day-to-day tasks, server
• provisioning, configuration management, service management and managing AWS resources.
• Should have experience in managing infrastructure of front-end and back-end applications based on
• technologies like Node, Java, Zookeeper, Elastic search.
• Experience with distributed message queuing systems like ActiveMQ, Kafka and RabbitMQ.
• Experience with AWS cloud services such as EC2, VPC, S3, Glacier, Route53, CloudFormation, ELB/ALB,
• ECS, ElasticCache, IAM, EBS Volume/snapshots etc.
• Experience with various monitoring tools like Nagios/Icinga2.
• Experience with setup real time log monitoring servers, centralized log management tools like Logstash,
• ElasticSearch, Sentry and io-logs.
• Knowledge of scripting languages like Bash/Python.
• Knowledge of OpenVPN to provide secure access to infra resources within VPC.
• Good Knowledge of caching technology like Memcache/Redis