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AWS DevOps Engineer (Senior)

5 months, 4 weeks ago
India
Full-time
Senior
DevOps Engineer
DevOps and Infrastructure
Agile Ansible AWS Azure Bitbucket Chef CI/CD Docker GCP Git Grafana Jenkins Kubernetes Linux Machine Learning Terraform
Apply Now
Mactores

Mactores

Mactores provides data analytics solutions and services that empower businesses to enhance their operational efficiency and value through automation and advanced technologies such as AI, Big Data, and cloud computing.

IT Services
51-250
Founded 2003
View All Jobs 33

Description

  • Automate infrastructure creation using Terraform and AWS CloudFormation.
  • Perform application configuration management and enable Infrastructure as Code through deployment tools.
  • Own and manage the build and release cycle for customer projects.
  • Deploy releases and support operations and maintenance activities.
  • Enhance and maintain operations infrastructure such as Jenkins clusters, Bitbucket, monitoring tools, and metrics tools like Graphite and Grafana.
  • Provide operational support to the engineering team and help migrate legacy infrastructure to the cloud.
  • Establish and enforce operational best practices.
  • Participate in hiring culturally aligned engineers and mentor them in their career growth.
  • Collaborate with founders to design team strategy and contribute to long-term technical planning.

Requirements

  • 4+ years of experience with Terraform for Infrastructure as Code.
  • 4+ years of experience in configuration management and systems engineering supporting large-scale Agile environments.
  • 4+ years of Linux or Windows administration experience.
  • 4+ years of experience with Git, including branching and merging strategies.
  • 2+ years of hands-on experience with AWS infrastructure and platform services.
  • 2+ years of experience with cloud automation tools such as Ansible or Chef.
  • 2+ years of experience with container orchestration tools like Kubernetes (EKS), AWS ECS, and Docker.
  • Strong drive to improve reliability and scalability.
  • Preferred experience with multiple cloud providers, including AWS, Azure, and GCP.
  • Preferred AWS certifications such as Solutions Architect Associate/Professional or DevOps Professional.
  • Preferred hands-on experience with data pipelines, big data processing, or machine learning workflows on cloud platforms.

Interested in this position?

Apply directly on the company website

Apply Now

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