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Platform Integration / Infrastructure Engineer

Join Our Team as a Platform Integration / Infrastructure Engineer

Do you enjoy making complex platforms work reliably in real enterprise environments, where identity, networking, certificates, storage, proxies, observability, and deployment policies all matter?

PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source agentic AI platform for large corporate environments. We are looking for a Platform Integration / Infrastructure Engineer who can own cross-cutting platform patterns and help make the platform ready for client-owned clusters, multi-cloud environments, and production operations.

This role is ideal for someone who likes the “boring but critical” parts of infrastructure: bootstrap order, permissions, APIService readiness, webhook certificates, chart upgrades, storage classes, health checks, runbooks, and everything else that determines whether a platform actually works outside a demo.

Role and Responsibilities

As Platform Integration / Infrastructure Engineer, you will:

  • Own enterprise deployment patterns: Design repeatable, production-ready Kubernetes deployment models across development, staging, production, and client-owned environments.

  • Make the platform fit real client infrastructure: Integrate with enterprise identity, ingress, certificates, storage, secrets, observability, service meshes, external managed services, and internal governance models.

  • Improve Kubernetes installation and operations: Work with Helm, cert-manager, Gateway API/Ingress, APIService installation, NetworkPolicy, RBAC, service accounts, custom CAs, proxies, and TLS constraints.

  • Build platform hooks and integration paths: Support authentication chains, service bus/eventing integrations, workload identity, managed identity, cloud-native secrets, and model gateway integration.

  • Support multi-cloud client patterns: Help integrate the platform with Azure, AWS, GCP, Databricks, S3-compatible storage, managed Postgres, OTEL collectors, Langfuse/Phoenix, and enterprise model gateways.

  • Create reusable deployment assets: Scaffold Helm values, Terraform modules, GitOps examples, deployment templates, reference blueprints, and operational documentation.

  • Advise client teams: Guide clients on cluster administration, identity management, GitOps layout, observability, operational ownership, and production rollout planning.

  • Increase operational safety: Reduce failure modes around install order, certificates, CRDs, APIService availability, permissions, storage, upgrades, and runtime health.

What We Offer

  • A serious enterprise platform challenge: Work on infrastructure patterns for an open-source AI platform being scaled into demanding multinational environments.

  • Highly senior colleagues: Join a developer-led company that publicly emphasizes top-tier technical experts, challenging enterprise projects, and strong communication.

  • Remote-first working culture: Work flexibly from anywhere, with conditions designed by developers for developers.

  • High technical leverage: Your work will shape how the platform is installed, operated, secured, and adopted across real client environments.

  • Room for advisory leadership: Help client teams make sound architecture and operations decisions, not just ship configuration files.

About You

You are an experienced platform or infrastructure engineer with:

  • Strong experience designing HA Kubernetes deployments across multiple environments and ownership models.

  • Deep familiarity with how enterprises provision Kubernetes, identity, ingress, certificates, storage, secrets, observability, service meshes, and managed services.

  • Strong practical knowledge of Helm, cert-manager, Gateway API/Ingress, APIService installation, NetworkPolicy, RBAC, service accounts, custom CAs, enterprise proxies, and TLS.

  • Experience with cloud platforms such as Azure, AWS, or GCP.

  • A productionization mindset focused on repeatability, safety, upgradeability, and operational clarity.

  • The ability to communicate clearly with both engineering teams and client platform teams.

  • Fluent English and comfort working in a remote, international environment.

  • EU residency and permission to work in the EU.

Nice to Have

  • Experience with Databricks, S3-compatible object storage, managed Postgres, OTEL collectors, Langfuse, Phoenix, or enterprise model gateways.

  • Familiarity with agentic AI platforms, workflow orchestration, MCP, A2A, or Kubernetes-native AI runtimes.

  • Experience writing runbooks, platform blueprints, client-facing architecture documents, or GitOps reference implementations.

  • Consulting or forward-deployment experience in large enterprise environments.

Technologies & Tools You May Work With

  • Kubernetes

  • Helm

  • cert-manager

  • Gateway API / Ingress

  • APIService

  • NetworkPolicy

  • RBAC / service accounts

  • Azure / AWS / GCP

  • Databricks

  • Managed Postgres

  • S3-compatible storage

  • OpenTelemetry / OTLP

  • Langfuse / Phoenix

  • Terraform

  • GitOps

  • Enterprise identity and secrets systems

Ready to turn a powerful open-source platform into something enterprises can operate with confidence? Apply now and help build the deployment patterns that make it scale.

Apply Now!