Cloud Operations Engineer – Infrastructure - #1167254

Key Responsibilities

• Design, build and maintain reliable, scalable and secure cloud-native infrastructure supporting large-scale production workloads.

• Operate and optimise multi-account AWS environments, ensuring infrastructure is secure, repeatable and auditable.

• Provision, administer and upgrade production Kubernetes clusters.

• Manage Kubernetes networking, autoscaling, observability, capacity planning and day-to-day cluster operations.

• Build and operate Kubernetes ecosystem components, including CRDs, Helm, HPA, Cluster Autoscaler, CoreDNS and Cluster API.

• Develop and improve GitOps deployment workflows using FluxCD, ArgoCD or similar tools.

• Manage and enhance Istio service mesh capabilities, including traffic routing, service discovery, resilience, security and service-to-service communication.

• Automate infrastructure provisioning and configuration management using Terraform and related Infrastructure as Code tools.

• Improve CI/CD pipelines, observability platforms and operational workflows using Go, Python or other appropriate technologies.

• Establish and continuously improve reliability practices, including Service Level Objectives, Error Budgets, monitoring, alerting, incident response and post-incident reviews.

• Investigate and resolve complex production issues involving AWS infrastructure, Kubernetes, Linux, networking and distributed services.

• Collaborate with application engineering, architecture, security and platform teams to improve system reliability, scalability and operational efficiency.

• Participate in a scheduled on-call rotation supporting production cloud infrastructure and Kubernetes platforms.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related discipline.

• At least two years of hands-on experience in cloud infrastructure, Kubernetes operations, platform engineering, Site Reliability Engineering, DevOps or a related area.

• Strong knowledge of AWS, particularly EKS, IAM, VPC, EC2, S3 and associated networking and security capabilities.

• Hands-on experience operating Kubernetes in a production environment, including:

  • Cluster provisioning and architecture

  • Workload orchestration

  • Networking and service discovery

  • Autoscaling and capacity management

  • Monitoring and troubleshooting

• Familiarity with Kubernetes ecosystem tools such as CRDs, Helm, Cluster API, HPA, Cluster Autoscaler and CoreDNS.

• Experience with GitOps tools such as FluxCD or ArgoCD.

• Solid Linux administration and troubleshooting skills, including systemd, networking and performance analysis.

• Experience with CI/CD pipelines and infrastructure automation using Terraform, Go, Python or similar tools.

• Good understanding of reliability engineering practices, including SLOs, incident response, monitoring, alerting and post-incident reviews.

• Strong analytical and problem-solving skills, with the ability to diagnose complex infrastructure issues across distributed systems.

• Good communication and collaboration skills, with the ability to work effectively across engineering, security and architecture teams.

• Willingness to participate in a scheduled on-call rotation.

Additional Advantages

• Experience with NVIDIA device plugins, GPU scheduling or GPU workload operations in Kubernetes.

• Experience with other public cloud platforms, particularly Azure or Alibaba Cloud.

• Kubernetes certifications such as CKA, CKAD or CKS.