DevOps Engineer

UsefulBI; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

UsefulBI Corporation is seeking a Senior/Lead DevOps Engineer to design and operate scalable cloud-native infrastructure in Bengaluru. You will own CI/CD pipelines, AWS-based architectures, and production Kubernetes orchestration.

Lead initiatives, mentor engineers, and drive Infrastructure as Code with Terraform. Collaborate across development, QA, and architecture to improve reliability, security, and observability with modern monitoring tools.

Qualifications

• 4–6 years of hands-on DevOps, Cloud Infrastructure, or Platform Engineering experience.
• Strong expertise with AWS services (EC2, VPC, IAM, S3, CloudWatch, EKS, Route 53, ALB/NLB).
• Extensive Kubernetes experience (EKS preferred).
• Infrastructure as Code using Terraform; CloudFormation knowledge is a plus.
• Docker and containerization proficiency.
• CI/CD tooling knowledge (GitHub Actions, Jenkins, GitLab CI, etc.).
• Python or Shell scripting for automation.
• Strong Linux, networking, DNS, load balancing, and security practices.
• Experience with monitoring/observability tools (Prometheus, Grafana, ELK, CloudWatch, Datadog).
• Experience managing production-grade, highly available cloud environments.

Responsibilities

• Architect, build, and maintain CI/CD pipelines across environments.
• Design, implement, and manage scalable AWS infrastructure.
• Lead Kubernetes platform administration and production orchestration.
• Automate infrastructure provisioning with Terraform and scripting.
• Drive IaC best practices across engineering teams.
• Ensure reliability, scalability, security, observability, and performance.
• Troubleshoot production and infrastructure issues.
• Collaborate with dev, QA, and architecture to streamline releases.
• Define DevOps standards, governance, and deployment strategies.

Skills

AWS

Kubernetes

Terraform

CI/CD

Python

Linux

Networking

Monitoring

Security

Tools

Docker

GitHub Actions

Jenkins

GitLab CI

Prometheus

Grafana

ELK

Datadog

CloudFormation

Job description

We are seeking a Senior/Lead DevOps Engineer with 4-6 years of hands‑on experience designing, deploying, and managing scalable cloud‑native infrastructure in production environments. The ideal candidate will have strong expertise in AWS, Kubernetes, Terraform, CI/CD, and Infrastructure as Code, with the ability to lead DevOps initiatives, mentor engineers, and drive infrastructure best practices across teams.

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.

Requirements

• 4-6 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.