Job Description

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:

Bachelor's 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 doesn't 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 you're passionate about cutting-edge technology and making a real impact, we'd love to hear from you!


Contact us: recruiting@manus.im