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DotPe
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DevOps Engineer

DevOps Engineer

DotPe

2 - 4 years

0 Lacs

gurugram haryana india

Posted:9 hours ago| Platform:

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Skills Required

devops technology drive deployment scaling reliability orchestration ai ml design management migration aws jenkins code terraform ansible docker security scalability development elasticsearch linux server

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

We are looking for a highly skilled DevOps Engineer to join our technology team and drive the deployment, scaling, and reliability of large-scale production systems. The ideal candidate will have strong hands-on experience with cloud platforms, container orchestration, and CI/CD pipelines. Experience in AI/ML environments is a plus, as you will occasionally collaborate with AI teams to optimize deployment workflows.

Job Location : Gurugram (WFO)

If you love building scalable, reliable production systems—we’d love to connect!

📩 Apply here – https://lnkd.in/gqutA3HQ

Key Responsibilities:

Design, implementation, and management of cloud infrastructure and DevOps processes.
Manage containerized applications using Kubernetes.
Drive cloud migration initiatives to AWS or GCP.
Implement and maintain CI/CD pipelines using Jenkins, CodeDeploy, Cloud Build, and similar tools.
Work with infrastructure-as-code tools such as Terraform, Ansible, and manage container environments (Docker, ECS).
Monitor, troubleshoot, and optimize databases and production systems.
Ensure security, scalability, and reliability of production systems.
Collaborate with cross-functional teams including development, AI/ML, and product teams.

Required Qualifications:

2-4 years of experience in DevOps or related roles supporting large-scale production systems.
Hands-on experience with Kubernetes.
Strong experience with AWS or GCP.
Experience with CI/CD tools (Jenkins, CodeDeploy, Cloud Build).
Hands-on knowledge of Docker, ECS, Elasticsearch, Ansible.
Strong Linux skills and understanding of server environments.
Sound knowledge of databases and cloud infrastructure.
Exposure of working in startup(Good to have)

Good-to-Have:

Experience with Terraform.
AWS Certification.
Exposure to AI/ML deployment pipelines or AI projects.

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DevOps Engineer