DevOps Engineer

Senior DevOps Engineer

Experience:

Salary :

Preferred Notice Period

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills:

Azure OR Docker, TensorFlow, Python OR Shell Scripting

Attri (One of Uplers' Clients) is Looking for:

Senior DevOps Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

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.

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply! And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!