Job Responsibilities
Kubernetes & Container Platform Leadership:
• Architect deploy and maintain enterprise-scale Kubernetes clusters with 99.9% uptime in mission-critical production environments
• Lead containerization initiatives using Docker and advanced container orchestration strategies
• Design and optimize sophisticated CI/CD pipelines with multi-environment deployment strategies and zero-downtime releases
• Drive Kubernetes best practices across development teams and establish container governance standards
Advanced Infrastructure & Service Management:
• Implement and manage service mesh architectures (Istio/Linkerd) for comprehensive microservices governance and observability
• Serve as the primary escalation point for complex Kubernetes cluster troubleshooting and containerized application issues
• Develop and enforce robust cluster security policies RBAC configurations and container security scanning protocols
• Execute cost optimization strategies for Kubernetes workloads and container resource allocation
Technology Innovation & Platform Evolution:
• Stay at the forefront of cloud-native technologies including Service Mesh Serverless computing and emerging Kubernetes ecosystem tools
• Evaluate and implement cutting-edge containerization technologies to enhance platform capabilities
• Lead proof-of-concept initiatives for new Kubernetes features and container runtime technologies
Requirements
Core Kubernetes & Docker Expertise (Non-Negotiable):
• Minimum 3 years of hands-on Kubernetes production experience with demonstrated expertise in cluster architecture networking and storage
• Expert-level Docker containerization skills including multi-stage builds image optimization and container security hardening
• Deep understanding of Kubernetes internals: etcd kube-apiserver scheduler controller-manager and kubelet operations
• Production-grade experience managing Kubernetes clusters serving high-traffic applications with complex workload requirements
Technical Foundation:
• Bachelors degree in Computer Science Engineering or equivalent practical experience
• Minimum 4 years in cloud-native/containerization environments with progressive responsibility
• Advanced proficiency in Go (Golang) for Kubernetes operator development and custom resource creation
• Strong scripting capabilities in Python Bash and YAML for automation and infrastructure as code
Kubernetes Ecosystem Mastery:
• Extensive experience with Kubernetes-native monitoring and observability stack: Prometheus Grafana Jaeger Tempo Loki
• Proven expertise in service mesh technologies (Istio preferred) for traffic management and security policies
• Advanced knowledge of Kubernetes networking: CNI plugins ingress controllers network policies and service discovery
• Experience with Kubernetes storage solutions: persistent volumes storage classes and stateful application management
Enterprise Container Operations:
• Demonstrated success in containerizing and orchestrating complex applications: MySQL clusters Redis Kafka Elasticsearch and distributed systems
• Expertise in DevOps methodologies including GitOps infrastructure as code (Terraform/Helm) and automated testing pipelines
• Hands-on experience with major cloud Kubernetes services: EKS (AWS) AKS (Azure) GKE (Google Cloud)
• Exceptional troubleshooting skills for performance optimization resource tuning and incident response
Preferred Qualifications
Advanced Certifications & Expertise:
• Kubernetes certifications strongly preferred: Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) or Certified Kubernetes Security Specialist (CKS)
• Cloud platform certifications: AWS Solutions Architect Azure DevOps Engineer or Google Cloud Professional Cloud Architect
• Service Mesh expertise: Production experience with Istio Linkerd or Consul Connect
• Serverless container experience: Knative AWS Fargate or Azure Container Instances
Leadership & Scale Experience:
• Experience managing large-scale Kubernetes clusters (500 nodes 1000 pods)
• Track record of leading container migration projects from legacy infrastructure
• Open source contributions to Kubernetes ecosystem projects or CNCF initiatives
• Experience mentoring teams on Kubernetes adoption and container best practices
Specialized Skills:
• Multi-cluster management and federation experience
• Advanced Kubernetes security implementations including Pod Security Standards and admission controllers
• Experience with emerging technologies: WebAssembly (WASM) containers confidential computing or edge Kubernetes deployments
About Manus AI
Manus is a general AI agent that bridges minds and actions: it doesnt just think it delivers results. Manus excels at various tasks in work and life getting everything done while you rest.
At Manus AI we offer a highly collaborative and innovative environment where experts across engineering research and business come together to push the boundaries of AI applications. If youre passionate about cutting-edge technology and making a real impact wed love to hear from you!
Contact us:
Required Experience:
Senior IC
