Location : Bangalore / Lucknow / Pune.

About UsefulBI :

UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Overview :

We are seeking a Senior / Lead DevOps Engineer with 7 - 10 years of hands-on experience in designing, deploying, and managing scalable cloud-native infrastructure in production environments. The ideal candidate will have strong expertise in AWS, EKS, Terraform, CI/CD, and Infrastructure as Code (IaC), with the ability to lead DevOps initiatives, mentor engineers, and drive infrastructure best practices across teams.

Key Responsibilities :

- Architect, build, and maintain highly available CI/CD pipelines across multiple environments.

- Design, implement, and manage scalable cloud infrastructure on AWS.

- Lead Kubernetes platform administration and production container orchestration.

- Automate infrastructure provisioning and operational tasks using Terraform and Python.

- Drive Infrastructure as Code (IaC) best practices across engineering teams.

- Ensure system reliability, scalability, security, observability, and performance.

- Troubleshoot and resolve complex production and infrastructure issues.

- Collaborate with development, QA, and architecture teams to streamline release processes.

- Define DevOps standards, governance, and deployment strategies.

Must-Have Skills :

- 7+ years of hands-on experience in DevOps, Cloud Infrastructure, or Platform Engineering.

- Strong expertise with AWS services (EC2, VPC, IAM, S3, CloudWatch, EKS, Route 53, ALB/NLB, Auto Scaling).

- Extensive hands-on experience with Kubernetes (EKS preferred).

- Strong experience with Infrastructure as Code using Terraform (CloudFormation knowledge is a plus).

- Expertise in Docker and containerization.

- Strong experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.).

- Proficiency in Python or Shell scripting for automation.

- Strong understanding of Linux, networking, DNS, load balancing, and security best practices.

- Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog.

- Experience managing production-grade, highly available cloud environments.