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2 Days ago

DevOps Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Accolite

Overview

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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