Job Purpose

We are looking for a highly skilled Lead – DevOps to drive cloud-native engineering, automation, and DevOps best practices across our platforms. This role will play a key part in designing, implementing, and optimizing scalable, secure, and high-performance cloud solutions while enabling continuous delivery and operational excellence.

The Job

• Design, implement, and manage CI/CD pipelines and automation workflows
• Deploy and manage applications in AWS cloud environments
• Build scalable, secure, and high-availability cloud-native applications
• Develop and manage Infrastructure as Code (IaC) using tools like Terraform & CloudFormation

• Design cloud architectures ensuring resilience, scalability, and cost efficiency
• Define and document solution architectures, workflows, and deployment standards

• Optimize applications for performance and reliability in distributed systems
• Manage deployments using Docker, Docker Compose, and Kubernetes
• Develop serverless solutions (e.g., AWS Lambda) using Node.js, Python, or Go
• Implement monitoring, alerting, and logging solutions

• Implement and enforce cloud security policies and best practices
• Manage access controls and proactively identify vulnerabilities

• Ensure compliance with organizational and industry standards
• Drive DevOps best practices and technology roadmap initiatives
• Evaluate and adopt new technologies (Cloud, AI, RPA, Containerization)
• Promote knowledge sharing and provide technical guidance across teams

The Person

• Degree in IT / Computer Science or equivalent (BSc / BCS / Master’s preferred)

• Minimum 3+ years in DevOps / Cloud Engineering roles

• Strong knowledge of AWS services (EC2, RDS, S3, VPC, Lambda, API Gateway)
• Hands-on experience with:
  • CI/CD tools (Jenkins, GitOps, Argo CD)
  • Containers & orchestration (Docker, Kubernetes)
  • Programming/Scripting (Python, Node.js, Go, or Java)
• Solid understanding of:
  • Linux/Unix systems and networking fundamentals
  • Distributed cloud environments (AWS/Azure/GCP)
  • Databases (PostgreSQL, MongoDB, Redis)