DevOps Engineer

7 days ago

Remote, India vlitechnologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position : Devops

Required Experience: 4 - 8 Years

Skills: devOps, AWS

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We are seeking a DevOps Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD pipelines for

Data and Machine Learning platforms. The ideal candidate will have good experience with

AWS Cloud, Terraform, and automation frameworks supporting end-to-end ML lifecycle operations.

Key Responsibilities:

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Design and implementation of DevOps solutions for Data and ML workloads.

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Build and maintain CI/CD pipelines for data ingestion, model training, and deployment.

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Manage and optimize AWS cloud infrastructure ensuring scalability, security, and cost efficiency.

  • Automate infrastructure provisioning and configuration using

Terraform or similar IaC tools.

*

Collaborate closely with Data Engineers, ML Engineers, and Software teams to streamline MLOps workflows.

*

Establish monitoring, logging, and alerting systems for proactive performance management.

*

Define and enforce best practices for cloud security, access control, and compliance.

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Mentor DevOps team members and drive automation-first culture across engineering teams.

Required Skills & Qualifications:

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Good expertise in AWS Cloud services (EC2, S3, EKS, Lambda, CloudFormation, IAM, etc.).

*

Proven experience in CI/CD automation using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.

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Hands-on proficiency with Terraform for infrastructure provisioning and automation.

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Experience with containerization and orchestration (Docker, Kubernetes).

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Familiarity with MLOps concepts and workflows — including model deployment, monitoring, and retraining.

*

Solid understanding of networking, security, and

infrastructure as code (IaC) principles.

*

Strong scripting knowledge in Python,

Bash, or similar languages.

*

Excellent communication and leadership skills with the ability to collaborate across teams.

Good to Have:

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Exposure to data engineering pipelines (Airflow, Kafka, Spark).

*

Experience integrating with AWS SageMaker or

Bedrock for ML workflows.

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Familiarity with observability stacks (Prometheus, Grafana, ELK, or CloudWatch).

Education:

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Bachelor's or Master's degree in Computer Science,

Information Technology, or a releated field

Job Type: Full-time

Application Question(s):

  • Must Have a Skill : Devops , AWS

Experience:

  • DevOps: 5 years (Required)

Work Location: Remote

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