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Accolite
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DevOps Engineer

DevOps Engineer

Accolite

4 years

0 Lacs

chennai tamil nadu india

Posted:3 days ago| Platform:

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Skills Required

devops design data learning aws automation ml model training scalability security automate provisioning configuration terraform software monitoring logging drive engineering iam jenkins github gitlab containerization orchestration docker deployment networking code scripting python communication leadership airflow kafka sagemaker technology certifications

Work Mode

Remote

Job Type

Full Time

Job Description

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

Design and implementation of DevOps solutions for Data and ML workloads.
Build and maintain CI/CD pipelines for data ingestion, model training, and deployment.
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.
Mentor DevOps team members and drive automation-first culture across engineering teams.

Required Skills & Qualifications

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.
Hands-on proficiency with Terraform for infrastructure provisioning and automation.
Experience with containerization and orchestration (Docker, Kubernetes).
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

Exposure to data engineering pipelines (Airflow, Kafka, Spark).
Experience integrating with AWS SageMaker or Bedrock for ML workflows.
Familiarity with observability stacks (Prometheus, Grafana, ELK, or CloudWatch).

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Relevant certifications (e.g., AWS Certified DevOps Engineer, Terraform Associate) are a plus.

Location: [Insert Location or mention Remote/Hybrid]Experience: 4+ years Employment Type: Full-time

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