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
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