Senior Devops Engineer

7 days ago

Ahmedabad, Gujarat, India Attri Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Senior DevOps Engineer

Location: Ahmedabad

Experience: 5+ years

Department: Engineering

About Attri:

Attri is where intelligent automation meets speed, scale, and real-world utility.

We're a fast-growing AI company with roots in Austin, Texas, and a thriving team in Gujarat, India. Our mission is to make agentic AI—the kind that can reason, act, and execute—accessible to anyone solving real problems.

What You'll Do (Responsibilities):

  • Design, implement, and manage scalable, secure, and high-performance cloud-native infrastructure across Azure.
  • Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
  • Develop event-driven and serverless architectures using AWS Lambda, SQS, and SAM.
  • Architect and manage containerized applications using Docker, Kubernetes, ECR, ECS, or AKS.
  • Establish and optimize CI/CD pipelines using GitHub Actions, Jenkins, AWS CodeBuild & CodePipeline.
  • Set up and manage monitoring, logging, and alerting using Prometheus + Grafana, Datadog, and centralized logging systems.
  • Collaborate with ML Engineers and Data Engineers to support MLOps pipelines (Airflow, ML Pipelines) and Bedrock with Tensorflow or PyTorch.
  • Implement and optimize ETL/data streaming pipelines using Kafka, EventBridge, and Event Hubs.
  • Automate operations and system tasks using Python and Bash, along with Cloud CLIs and SDKs.
  • Secure infrastructure using IAM/RBAC and follow best practices in secrets management and access control.
  • Manage DNS and networking configurations using Cloudflare, VPC, and PrivateLink.
  • Lead architecture implementation for scalable and secure systems, aligning with business and AI solution needs.
  • Conduct cost optimization through budgeting, alerts, tagging, right-sizing resources, and leveraging spot instances.
  • Contribute to backend development in Python (Web Frameworks), REST/Socket and gRPC design, and testing (unit/integration).
  • Participate in incident response, performance tuning, and continuous system improvement.

Good to Have:

  • Hands-on experience with ML lifecycle tools like MLflow and Kubeflow
  • Previous involvement in production-grade AI/ML projects or data-intensive systems
  • Startup or high-growth tech company experience

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience in a DevOps, SRE, or Cloud Infrastructure role.
  • Proven expertise in multi-cloud environments (AWS, Azure, GCP) and modern DevOps tooling.
  • Strong communication and collaboration skills to work across engineering, data science, and product teams.

Benefits:

  • Competitive Salary
  • Support for continual learning (free books and online courses)
  • Leveling Up Opportunities
  • Diverse team environment

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