DevOps Engineer Backend

The Role

As a DevOps Engineer – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently.

Responsibilities

• Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes.
• Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP).
• Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Monitor system performance, identify bottlenecks, and improve infrastructure reliability.
• Establish and enforce security best practices, including identity management, logging, and vulnerability management.
• Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues.
• Optimize cloud resource utilization to ensure cost-effectiveness and scalability.
• Automate infrastructure provisioning, configuration management, and system maintenance.
• Stay up-to-date with emerging DevOps technologies, tools, and best practices.

Requirements

• Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering.
• Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD).
• Experience with cloud services (AWS, Azure, or GCP) and serverless computing.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
• Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm).
• Strong knowledge of Linux-based systems, networking, and security best practices.
• Scripting skills in Bash, Python, or Go for automation.
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog).
• Understanding of cloud cost optimization, scalability, and high-availability architectures.
• Strong problem-solving skills and ability to work in an agile, fast-paced environment.