Accolite

DevOps Engineer

Posted On

Nov. 10, 2025

Location

Bangalore, Karnataka

Experience Level

4 - 8 Years Exp.

Job Type

Full Time

Apply By

Dec. 6, 2025

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.

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