Cloud Architectural Specialist

10 hours ago

Mohali, Punjab, India beBeeKubernetes Full time ₹ 15,00,000 - ₹ 25,00,000
Job Opportunity

Architecting Test Infrastructure

  • Design and develop test frameworks and infrastructure for validating microservices and infrastructure components in multi-cluster and hybrid-cloud environments.
  • Oversee the design of complex test scenarios simulating production-like workloads, resource scaling, failure injection, and recovery across distributed clusters.

Automation & Scalability Expertise

  • Leverage extensive knowledge of Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage, including system health, failover behavior, and network resilience.
  • Promote test infrastructure-as-code and drive IaC forward on the team making sure the infrastructure code is repeatable, extensible and reliable.

Technical Competency

  • Deep understanding of Kubernetes internals, cluster lifecycle management, Helm, service meshes (e.g., Istio or Linkerd), and network policies.
  • Strong scripting and automation capabilities (Python, Pytest, Bash, etc.).
  • Familiarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management), and performance benchmarking tools (e.g., K6).
  • Solid grounding in cloud architecture (AWS, Azure, GCP), infrastructure provisioning, and containerized CI/CD.
  • Moderate to advanced linux knowledge and proficiency is required: Bash scripting and debugging, systemd/logs, networking/firewalling/routing, certificate/PKI management, containers (Docker/containerd), and Kubernetes tooling (kubectl/Helm with OCI registries, GitOps/Flux) to install, test, and troubleshoot multi-cluster systems.

Key Responsibilities

  • Develop highly scalable, maintainable test automation systems, seamlessly integrated into CI/CD pipelines (Jenkins, GitHub Actions, GitLab, ArgoCD).
  • Leverage expertise in Kubernetes APIs, Helm charts, and service mesh frameworks (Istio, Linkerd) to enable full automation coverage for system health monitoring, network resilience testing, failover validation, and scaling scenarios.
  • Drive the adoption of Test Infrastructure-as-Code (IaC), ensuring all test systems are repeatable, auditable, extensible, and reliable.

Requirements

  • Kubernetes & Cloud Expertise: Deep understanding of Kubernetes internals, cluster lifecycle management, networking policies, Helm, and service meshes, combined with hands-on experience across major cloud platforms (AWS, Azure, GCP).
  • Observability & Monitoring: Skilled in designing observability pipelines using Prometheus, Grafana, Jaeger, with strong focus on proactive monitoring, tracing, and alerting for distributed systems.
  • Scripting & Automation: Proficient in Python (Pytest, automation frameworks), Bash scripting, and DevOps toolchains, ensuring streamlined automation and test orchestration.
  • Security & Reliability: Familiar with RBAC, PKI management, secrets handling, and network security policies for production-grade Kubernetes clusters.
  • System Benchmarking: Experienced in load and performance benchmarking using K6, Locust, and custom benchmarking harnesses to validate system throughput, latency, and resilience under stress.
  • Linux & System Proficiency: Solid grounding in Linux administration, including systemd management, firewalling/routing, container runtimes (Docker, containerd), networking diagnostics, and log debugging.

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