DevOps Engineer

UsefulBI Corporation; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

UsefulBI Corporation in Bengaluru is 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.

You will have strong expertise in AWS, Kubernetes, Terraform, CI/CD, and Infrastructure as Code, and will lead DevOps initiatives, mentor engineers, and drive best practices across teams.

Qualifications

• 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.

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.

Skills

DevOps leadership

Cloud infrastructure

Mentoring

Automation

Tools

AWS

Kubernetes

Terraform

CI/CD

Python

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.