Wednesday, September 16, 2026
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Hiring Now: Kubernetes Engineer – Turium AI | Hyderabad (On-Site, Full-Time)

Turium AIHyderabad
INR Not Disclosed/year
Turium AI
DevOpsFull-timePosted 13 May 2025Updated 13 May 2025Expired
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Job Description

Turium AI is redefining enterprise operations through advanced, secure AI systems. With a mission to power intelligent transformation, we build scalable and resilient AI infrastructure solutions for global enterprises. Join a dynamic team driving innovation at the intersection of AI and cloud-native technology.

Requirements

They are seeking a Kubernetes Engineer to design and maintain scalable Kubernetes-based infrastructure powering our AI and ML platforms. You will collaborate with cross-functional teams to support end-to-end AI workload deployment, monitoring, and optimization on modern cloud platforms.


Key Responsibilities

  • Design, deploy, and manage Kubernetes clusters (EKS, GKE, AKS)
  • Develop and manage Helm charts, manifests, and Kubernetes controllers
  • Build CI/CD automation using GitHub Actions, ArgoCD, or Jenkins
  • Implement observability with Prometheus, Grafana, ELK/EFK, or Loki
  • Enable GPU scheduling, model deployments, and ML pipeline scaling
  • Enforce security best practices (RBAC, secrets, network policies)
  • Troubleshoot staging and production deployment issues
  • Work closely with DevOps, ML engineers, and security teams

Required Qualifications

  • 3–6 years in DevOps, SRE, or Platform Engineering
  • Production experience with Kubernetes and Helm
  • Proficiency with IaC tools like Terraform or Pulumi
  • Familiar with AWS, Azure, or GCP cloud platforms
  • Strong scripting skills in Bash, Python, or Go
  • Understanding of service mesh (Istio) and container networking
  • Knowledge of container security best practices

Preferred Qualifications

  • Experience with GPU workloads, Kubeflow, MLflow, or AI/ML pipelines
  • CNCF Certifications (CKA, CKAD)
  • Familiarity with eBPF, serverless tools, or service mesh tuning
  • Availability to work in AEDT/AEST time zones

What We Offer

  • Competitive salary with performance-based bonuses
  • Work with cutting-edge AI/ML infrastructure
  • Collaborate with global experts in DevOps and MLOps
  • Exposure to enterprise AI, Kubernetes, DevSecOps, and observability
  • Flexible hours and a remote-friendly culture

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