DevOps Team Lead

UNPlus Solutions • Full-time • Bengaluru, IN • 2m ago

Responsibilities:

Drive automation of infrastructure and deployment systems
Collaborate with development teams to automate the configuration management, build, release, deployment, and monitoring processes
Support engineering teams with infrastructure needs
Work towards server build, application deployment and configuration.
Monitoring and administration of the servers and applications
Bring best practices to the table
Build processes and methodologies to implement new solutions
Contribute and create a motivated work environment within the team
Mentor other team members and promote opportunities
Work with data science teams to design for data Science model deployments.
Develop and deliver a CI/CD pipeline for all big data and analytics projects
Develop tools and libraries that will enable rapid and scalable development.

Requirements:

Bachelor’s degree in fields of Computer Science, Statistics or an equivalent
Should have experience with leading a team of DevOps Engineers
Should possess good communication skills and ability to interact with stakeholders
Should have strong background in Linux, Windows Server administration, setup, and configuration.
Should have experience with scripting tools – bash, python, PS.
Should have experience with networking setup TCP/IP, DNS, HTTP, SSL/TLS, VPN, etc.
Should have experience working with large scale distributed systems and service-oriented architectures
Should have experience in deploying workloads in production environment, troubleshooting defects, improving performance
Should have experience working with containerization technologies– Docker, Kubernetes, EKS, ECS, Fargate.
Should have in depth knowledge of Compute and Networking services like EC2, S3, RDS, ASG, ELB, VPC, System Manager, IAM, Elastic Beanstalk, Cloud Watch, CloudTrail.
Should have experience building applications with AWS services– API Gateway, Lambda, EMR, Glue, DynamoDB.
Should have strong understanding of DevOps tools/process/methodologies
Should have experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
Should have Good Experience in Automation tools (terraform, Ansible with Systems Manager, Packer)
Experience with common MLOps tools like MLFlow, Kubeflow, Sagemaker is a plus.
Exposure to either of the NoSQL database (Hbase, mongodb, Redis) is a plus.

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