DevOps Engineer

Required Qualifications & Skills

• Experience: 3+ years in DevOps and General Software Development Engineering (SDE).

• Containerization & Orchestration: Solid experience with Kubernetes and container orchestration.(CKAD certification preferred)

• CI/CD: Hands-on experience with CI/CD platforms (GitHub, GitLab), including deep knowledge of building, testing, and deploying pipelines via YAML templates.

• Infrastructure as Code (IaC): Expertise in IaC management using Helm.

• Messaging & Architecture: Hands-on experience with event-driven architectures and message queues (Kafka, RabbitMQ).

• Monitoring & Observability: Proficiency with monitoring and logging solutions (OpenTelemetry, Elasticsearch, Grafana, etc.).

• Scripting & Development: Strong scripting and coding skills in Python, Node.js, and C#.

• Databases: Practical experience with PostgreSQL database management.

• Operations: Experience with production support, incident management, and on-call rotations.

• Agile & Development Processes: Familiarity with Agile development methodologies, including daily standups, sprint planning, and MR reviews.

Key Responsibilities

• Edge Computing & Serverless Management: Architect, deploy, and manage serverless applications at the edge using Cloudflare Workers and Cloudflare Wrangler 4 CLI.

• Traffic Routing & Nginx Development: Maintain and extend high-performance reverse proxies using Nginx, leveraging Lua scripting for custom request routing and dynamic processing.

• Kubernetes Manifest Authoring: Construct accurate Kubernetes YAML configurations across key Kubernetes objects with a strong understanding of core object architecture and connectivity.

• Cluster Replatforming & Migration: Migrate of production workloads from legacy Kubernetes environments (such as RKE v1) to modern RKE2 setups

• Containerization: Write optimized, multi-stage Dockerfiles, enforce image security best practices, and maintain minimal container footprints.

• CI/CD Pipeline Development: Design, build, and maintain robust automated integration and deployment pipelines using GitLab CI/CD.

• Cross-Language Collaboration: Read, debug, and support codebases written in JavaScript and C# to effectively troubleshoot application-level container and pipeline failures.

• System Troubleshooting & Incident Response: Rapidly diagnose and resolve failed deployments, broken Docker builds, pipeline bottlenecks, and application runtime errors.