Senior Devops Engineer

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 🌍