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