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DevOps Engineer Kafka & PostgreSQL

Mirantis
Delhi, IND
Full-time
Senior · 8+ years experience
Remote
Discovered 2 days ago
argoawsazurebasheksgcp

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Must Have

  • Platform Experience: 8+ years in DevOps, SRE, or platform engineering, including 3+ years operating production Kubernetes for business-critical services.
  • Kubernetes Depth: Strong grasp of Kubernetes primitives — workloads and StatefulSets, operators and CRDs, persistent volumes and CSI storage, RBAC, and network policies — with hands-on experience upgrading and troubleshooting clusters in production.
  • Helm & Release Engineering: Hands-on authoring of non-trivial Helm charts — templating, values design, chart dependencies, and testing with helm-unittest or chart-testing. Experience with k0rdent, Cluster API, or a multi-cluster delivery tool (Argo CD ApplicationSets, Fleet, Sveltos) is preferred, but what matters is depth with Helm, not the specific delivery tool.
  • Kubernetes Storage: Practical experience with CSI drivers, StorageClasses, and volume snapshots — AWS EBS CSI preferred, but equivalent experience with Longhorn, Ceph (Rook), OpenEBS, or another cloud CSI driver is acceptable. What matters is understanding how storage behaves when pods, nodes, and clusters fail.
  • PostgreSQL on Kubernetes: Hands-on experience running PostgreSQL through a Kubernetes operator — CloudNativePG (CNPG) preferred, but Zalando’s postgres-operator, Crunchy PGO, or a comparable operator is acceptable — including backups, restores, and point-in-time recovery.
  • Cloud Infrastructure: Production experience in AWS (EC2, EBS, VPC, IAM, S3; EKS a plus); equivalent GCP or Azure experience also counts.
  • CI/CD & Automation: Designing and maintaining GitHub Actions (or GitLab CI) pipelines, with solid scripting in Bash plus Python or Go (Golang).
  • Collaboration: Clear written and spoken English and comfort working across time zones, with regular overlap with US and European teams.
  • Experience with bare-metal provisioning (Metal3, Ironic, PXE) and GPU or AI infrastructure.
  • Familiarity with Kong Gateway or the Kubernetes Gateway API, and Keycloak / OIDC identity integration.
  • Experience operating Temporal or other workflow engines in production.
  • Experience delivering software into air-gapped or sovereign environments using private registries and mirrored artifacts.
  • Experience designing cross-region disaster recovery for stateful services, including RPO/RTO trade-off decisions.
  • Certifications such as CKA / CKS or AWS Certified DevOps Engineer – Professional — a plus.
  • Contributions to open-source infrastructure projects (Helm charts, Kubernetes operators, CNCF projects) — a huge plus.

Nice to Have

  • Experience with bare-metal provisioning (Metal3, Ironic, PXE) and GPU or AI infrastructure.
  • Familiarity with Kong Gateway or the Kubernetes Gateway API, and Keycloak / OIDC identity integration.
  • Experience operating Temporal or other workflow engines in production.
  • Experience delivering software into air-gapped or sovereign environments using private registries and mirrored artifacts.
  • Experience designing cross-region disaster recovery for stateful services, including RPO/RTO trade-off decisions.
  • Certifications such as CKA / CKS or AWS Certified DevOps Engineer – Professional — a plus.
  • Contributions to open-source infrastructure projects (Helm charts, Kubernetes operators, CNCF projects) — a huge plus.

Education and Experience

  • Bachelor’s degree in Computer Science & Engineering (or a related field), or 8+ years of equivalent related experience.
  • We offer:
  • Operate some of the most advanced AI infrastructure environments in production today.
  • Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
  • Help define operational standards and reliability practices for next-generation AI infrastructure services.
  • Influence the adoption of AI-powered operational capabilities through k0rdent AI.
  • Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
  • Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.
  • It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
  • We are a Leader for Container Management in G2 (#2 after AWS)!

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

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