Website Optizm Global

Position: Sr. DevOps Engineer

Location: Remote, India

Duration: Full-time

Job Description:

The Senior Development Operations Engineer is a member of the Development Team and works closely with other internal teams to build security, reliability, and scalability into the development life-cycle. He or She is a leader of operations and processes improvements activities (including analyzing, planning, and executing) and brings knowledge, skills, and experience to guide the team on good operations practices and make sure all processes run smoothly and predictably.

The ideal candidate has a Growth Mindset and a keen interest in Development Operations, working closely with Software Development Engineers to automate and streamline processes to enable feedback to developers from Continuous Integration, Deployment, and Delivery pipelines.

Job Description Core Responsibilities

  • Analyze, design, implement and validate strategies for continuous integration, build, test, and deployment for cloud-based infrastructure.
  • Design and implement automated, dynamic environments to support the needs of development teams.
  • An awareness of the wider development infrastructure and possibilities of further automation and simplification.
  • Support day-to-day production operations.
  • Support integrations between the tools used by developers to queue jobs for the pipeline.
  • Implement & Design CICD pipelines using Github, Jenkins, uDeploy, puppet & container solutions such as Docker, and Kubernetes.
  • Participation in Agile / Scrum events such as daily standups, sprint planning, and retrospective meetings.
  • Supporting the team throughout the development process, as needed.
  • To always enhance and improve upon current processes.

Desired Skills and Experience

  • Jenkins
  • Terraform
  • Kubernetes and Docker
  • Security awareness
  • Windows/Linux knowledge
  • PowerShell, CLI, or Batch/BASH scripting
  • Excellent communication skills verbal & written
  • Hands-on 5 plus of experience


  • Elasticsearch/Logstash/Kibana knowledge
  • Both AWS and Azure experiences are preferred but not required.

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