DevOps Engineer, Kafka, PostgreSQL

This is a fully remote position, open to applicants in India.

📋 Description

• Deploy, upgrade, and manage k0s/k0rdent-managed Kubernetes clusters on AWS and bare-metal hardware across a global control plane and multiple regions.

• Oversee the cluster lifecycle, including node maintenance, capacity planning, and version upgrades.

• Create and maintain Helm charts and k0rdent ServiceTemplates as well as MultiClusterServices for Keycloak, Kong, Temporal, CloudNativePG, and proprietary Go APIs.

• Implement dependency ordering, health gating, versioning, and ensure zero-downtime upgrade paths.

• Design and manage Kubernetes storage utilizing AWS EBS CSI, OpenEBS LocalPV, Longhorn, or Ceph.

• Administer StorageClasses, reclaim policies, CSI snapshot controllers, and VolumeSnapshotClasses.

• Manage CloudNativePG backup and recovery processes, which include scheduled volume snapshots, WAL archiving, point-in-time recovery, and replica clusters.

• Establish RPO/RTO targets and perform regular restore drills.

• Build and sustain GitHub Actions pipelines for linting, chart unit tests, artifact packaging, OCI publishing, and bare-metal end-to-end environments.

• Maintain declarative infrastructure as code using Terraform and Argo CD or Flux.

• Ensure environments are reproducible and reviewable through code.

• Develop monitoring and alerting systems with Prometheus, Grafana, and OpenTelemetry.

• Monitor service health, database replication, backup status, and resource capacity.

• Participate in the on-call rotation, lead troubleshooting efforts, and drive improvements post-incident.

• Manage TLS and certificate lifecycles with cert-manager, secrets, network policies, and least-privilege RBAC.

• Support private-registry and air-gapped installations for sovereign customers.

• Own operational readiness through the creation of runbooks, restore drills, and defining upgrade and rollback paths.

⛳️ Requirements

• 8+ years of experience in DevOps, SRE, or platform engineering.

• 3+ years of experience operating production Kubernetes for business-critical services.

• Strong understanding of Kubernetes primitives, such as workloads, StatefulSets, operators, CRDs, persistent volumes, CSI storage, RBAC, and network policies.

• Hands-on experience with upgrading and troubleshooting production Kubernetes clusters.

• Experience in authoring complex Helm charts, including templating, values design, chart dependencies, and testing with helm-unittest or chart-testing.

• Practical knowledge of CSI drivers, StorageClasses, and volume snapshots.

• Hands-on experience managing PostgreSQL through a Kubernetes operator, encompassing backups, restores, and point-in-time recovery.

• Production experience in AWS, including EC2, EBS, VPC, IAM, and S3; EKS experience is a plus.

• Experience in designing and maintaining GitHub Actions or GitLab CI pipelines.

• Proficient scripting skills in Bash as well as Python or Go (Golang).

• Excellent written and spoken English communication skills.

• Comfortable working across time zones, with regular overlap with teams in the US and Europe.

• Bachelor's degree in Computer Science & Engineering or a related field, or 8+ years of equivalent related experience.

• Preferred experience with k0rdent, Cluster API, or multi-cluster delivery tools.

• Additional experience with bare-metal provisioning, GPU or AI infrastructure, Kong Gateway, Kubernetes Gateway API, Keycloak, OIDC, Temporal, air-gapped or sovereign environments, cross-region disaster recovery, and relevant certifications is advantageous.

🏝️ Benefits

• Operate some of the most advanced AI infrastructure environments currently in production.

• Work with cutting-edge NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.

• Contribute to defining operational standards and reliability practices for next-generation AI infrastructure services.

• Influence the adoption of AI-powered operational capabilities through k0rdent AI.

• Collaborate with highly skilled engineers tackling complex infrastructure and platform challenges at scale.

• Join a growing organization that is heavily investing in AI infrastructure, platform services, and operational innovation.