Senior Devops Engineer
4 days ago
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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