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DevOps team Lead

  • Bengaluru - India
  • Full Time

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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