Platform Infrastructure Engineer

About the Role

Rubiscape deploys to five distinct topologies — SaaS, BYOC, On-Premises, Hybrid, and Air-Gap — and the Platform Infrastructure Engineer is the engineer who makes all five reliable, observable, and fast. You will own the Kubernetes platform, CI/CD pipelines (ArgoCD + GitHub Actions), and the cloud infrastructure (AWS/Azure/GCP) that runs Rubiscape’s six-studio platform for Fortune 500 enterprise customers. This is an infrastructure role with a strong software engineering dimension: you will write Terraform modules, Helm charts, and Go or Python automation tooling — not just click through cloud consoles. If you want your infrastructure work to directly translate into platform uptime, faster developer velocity, and the ability to ship new enterprise customers to production in under 90 days, this role is built for you.

Key Responsibilities

· Design, provision, and maintain multi-cloud Kubernetes clusters (EKS, AKS, GKE) using Terraform and Helm, supporting SaaS, BYOC, and on-prem customer topologies from a single control-plane model.

· Own the GitOps delivery pipeline: manage ArgoCD application sets, define promotion workflows across dev/staging/production environments, and enforce deployment policies via OPA/Gatekeeper.

· Build and maintain GitHub Actions CI pipelines — including build caching, container image signing (Cosign), vulnerability scanning (Trivy), and automated integration test orchestration.

· Define and enforce platform security posture: Kubernetes RBAC, network policies, Pod Security Standards, secret rotation via Vault, and audit logging pipelines to SIEM.

· Implement platform observability: Prometheus + Grafana dashboards, AlertManager routing, distributed tracing with Jaeger/Tempo, and SLO-based alerting for all production services.

· Manage the data platform infrastructure layer: Kafka cluster operations (MSK/Confluent), PostgreSQL HA (Patroni or RDS Multi-AZ), Redis cluster configuration, and Spark on Kubernetes job scheduling.

· Act as the infrastructure partner for product engineers — reviewing Kubernetes manifests, advising on resource sizing, and building self-service tooling that reduces infrastructure toil for the wider engineering team.

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Nice to Have

· Experience delivering air-gap or on-premises enterprise deployments with offline container registries, local Helm chart repositories, and network-restricted environments.

· Background with service mesh technologies (Istio, Linkerd) for mTLS, traffic management, and fine-grained observability between Rubiscape’s microservices.

· Familiarity with FinOps practices — cloud cost allocation, Spot/Preemptible instance strategies, and right-sizing recommendations for Kubernetes workloads.

· Kubernetes operator development experience (Kubebuilder, Operator SDK) for automating complex stateful application lifecycle management.

About Rubiscape

Rubiscape is India’s leading Decision Intelligence Platform, unifying data engineering, BI, machine learning, and agentic AI in a single governed platform. Built in Pune and trusted by Fortune 500 enterprises across BFSI, manufacturing, healthcare, and government. 8 international innovation patents. 10 Industry-Academia Labs & COEs. From BI to AI — Platform. Every Decision.

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Requirements

Requirements

· 4+ years of infrastructure or platform engineering experience, with at least 2 years operating production Kubernetes clusters at enterprise scale.

· Deep Terraform expertise: module authoring, remote state management, workspace strategies for multi-environment/multi-cloud provisioning.

· Hands-on ArgoCD or Flux experience for GitOps-based application delivery, including multi-cluster federation and rollback automation.

· Strong security engineering background: cloud IAM, Kubernetes RBAC, network policy design, zero-trust networking principles, and compliance frameworks (SOC 2, ISO 27001).

· Scripting and automation proficiency in Python or Go for building internal platform tooling, operator controllers, or custom Kubernetes admission webhooks.

· Experience managing stateful workloads on Kubernetes: PostgreSQL, Redis, Kafka — including backup/restore strategies, failover testing, and capacity planning.