Tech Lead – Cloud & DevOps Engineer

Tech Lead – Cloud & DevOps Engineer We are looking for a Tech Lead – Cloud & DevOps Engineer to lead the Platform team in designing, building, and operating scalable cloud infrastructure and Kubernetes-based systems for production workloads, IoT services, and AI-driven applications. This includes supporting environments that may also interact with multi-agent AI systems. Experience with AI and LLM technologies is not required but would be a significant advantage. This is a hands-on technical leadership role that combines architecture, implementation, team leadership, and mentorship. You will guide engineers, define best practices, and drive the overall DevOps and cloud strategy. Responsibilities • Lead the design and operation of scalable cloud infrastructure on AWS • Architect, deploy, and manage production Amazon EKS (Kubernetes) clusters • Own and continuously improve CI/CD pipelines (Jenkins, GitHub, Bitbucket, Argo CD) • Define and enforce Infrastructure as Code (IaC) standards using Terraform • Drive GitOps-based deployment strategies • Build automation tools and backend services using Python • Lead the observability strategy using Grafana, Amazon CloudWatch, OpenSearch, Pixie, and other monitoring tools • Ensure production reliability, scalability, security, and cost optimization • Manage cloud networking, IAM, security, and connectivity • Administer Linux and Windows servers • Lead production incident response and root cause analysis • Mentor and support DevOps engineers • Conduct code reviews, technical design reviews, and knowledge-sharing sessions • Collaborate closely with software, embedded, data, and AI teams • Define engineering standards, best practices, and platform architecture direction Requirements • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience • 5+ years of experience in Cloud & DevOps, including technical leadership experience • Strong hands-on experience with AWS • Kubernetes (Amazon EKS preferred) • Docker and Terraform • CI/CD pipelines (Jenkins, GitHub, Bitbucket, Argo CD) • Strong Linux administration skills • Hands-on Windows Server administration • Python scripting and automation • Experience with production troubleshooting • Strong knowledge of cloud networking, IAM, VPC, and cloud security • Experience with Grafana, Amazon CloudWatch, and observability tools such as the ELK stack • Proven experience in technical leadership and mentoring engineers Nice to Have • AWS Certified Solutions Architect (Associate or Professional) • Experience with IoT or embedded systems • Experience designing scalable distributed systems • Experience operating high-scale production systems (millions of devices) • Experience with AI/LLM tooling (LangChain, LiteLLM, Langfuse) • Exposure to multi-agent AI systems