Job
Description
About the Job: Job Title: Senior DevOps Engineer Location: Ahmedabad Experience: 4-5+ years Department: Engineering About Attri Attri is an AI organization that helps businesses initiate and accelerate their AI efforts. We offer the industry’s first end-to-end enterprise machine learning platform, empowering teams to focus on ML development rather than infrastructure. From ideation to execution, our global team of AI experts supports organizations in building scalable, state-of-the-art ML solutions. Our mission is to redefine businesses by harnessing cutting-edge technology and a unique, value-driven approach. With team members across continents, we celebrate diversity, curiosity, and innovation. We’re now looking for a Senior DevOps Engineer to join our fast-growing, remote-first team. If you're passionate about automation, scalable cloud systems, and supporting high-impact AI workloads, we’d love to connect. 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 🌍
