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
* 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
This position is open to all candidates.
