DevOps Engineer

Key Responsibilities

• Infrastructure & Orchestration
  • Design and maintain production-grade infrastructure on AWS and Azure using Terraform.
  • Manage and scale Kubernetes (EKS/AKS) clusters, including Helm chart management, ingress controllers, and cluster security.
  • Linux Administration: Advanced administration of Ubuntu/Linux environments, including performance tuning, shell scripting (Bash/Python), and hardening.
  • Implement automated testing and quality gates within the deployment flow.
  • Build and optimize CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions) to automate the software delivery lifecycle.
  • Implement centralized logging (ELK/Splunk) and metrics monitoring (Prometheus/Grafana) to ensure system health.
  • Define and track SLIs, SLOs, and Error Budgets; implement distributed tracing to troubleshoot microservices.
  • Configure auto-scaling groups and load balancers to handle fluctuating traffic patterns effectively.
  • Integrate security scanning (SAST/DAST) and vulnerability assessment into the CI/CD pipeline.
  • Implement cloud security standards (CIS benchmarks, IAM least privilege, and network segmentation).
  • Securely manage credentials using HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault.

Required Skills & Qualifications

• Experience: Minimum 3+ years of relevant experience as a DevOps Engineer.
• Cloud: Hands-on experience with both AWS (EC2, S3, RDS, IAM) and Azure (Virtual Machines, VNet, Entra ID).
• IaC: Expert-level knowledge of Terraform (modules, state management, and workspaces).
• Orchestration: Deep understanding of Kubernetes architecture (Pods, Services, Deployments, ConfigMaps).
• OS: Strong proficiency in Linux (Ubuntu), including networking fundamentals (TCP/IP, DNS, Firewall).
• Security: Familiarity with cloud security frameworks and implementing encryption at rest and in transit.
• Soft Skills: Strong problem-solving mindset and the ability to collaborate in an Agile environment.

Why Join Us?

• Work on modern cloud-native infrastructure using AWS, Azure, Kubernetes, and Terraform.
• Be part of a collaborative engineering culture that values automation, innovation, and continuous improvement.
• Gain hands-on experience with MLOps and AIOps while working on next-generation AI-driven platforms.
• Contribute to building scalable, secure, and highly available production systems.
• Thrive in a Security-First engineering culture focused on best practices and operational excellence.
• Enjoy opportunities for continuous learning, certifications, career growth, and exposure to enterprise-scale cloud environments.
• Competitive compensation and company benefits.