Cloud & DevOps Engineer

Cloud & DevOps Engineer

We are looking for a Cloud & DevOps Engineer to join our Platform team in designing, building, and operating scalable cloud infrastructure and Kubernetes-based systems for production workloads, IoT services, and AI-driven applications.

This is a hands-on engineering role focused on building reliable cloud platforms, automation, and production infrastructure while working closely with software, embedded, data, and AI teams.

Requirements

• Bachelor's degree in computer science, Engineering, or equivalent practical experience
• 3+ years of hands-on experience in Cloud & DevOps
• Strong experience designing, deploying, and operating AWS cloud infrastructure and Amazon EKS (Kubernetes) clusters
• Experience developing and maintaining Infrastructure as Code (IaC) using Terraform
• Experience building and maintaining CI/CD pipelines using Jenkins, GitHub, Bitbucket, and Argo CD
• Strong Python development and automation skills
• Experience managing cloud networking, IAM, VPC, Transit Gateway (TGW), Site-to-Site VPN, and cloud security
• Knowledge of Cloud Security Posture Management (CSPM) solutions (e.g., Orca, Wiz, Prisma Cloud) and cloud security best practices
• Experience monitoring and troubleshooting production environments using Grafana, Amazon CloudWatch, OpenSearch/ELK, New Relic, and distributed tracing tools
• Experience planning and executing Linux and Windows OS patching across production environments
• Experience building and operating highly available, secure, scalable, and cost-efficient production platforms
• Understanding of Agentic AI concepts and workflows, including orchestration, MCP, multi-agent architectures, AI agents, tool integration, and AI-powered services
• Strong troubleshooting, problem-solving, communication, and collaboration skills

Nice to Have

• AWS Certified Solutions Architect (Associate or Professional)
• Experience with IoT or embedded systems
• Experience designing distributed systems or operating large-scale production platforms
• Hands-on experience with Agentic AI frameworks such as Lang Graph, Lang Chain, API Gateway , Lang fuse, or similar technologies
• Experience building AI/LLM-powered applications