IDP Platform Engineer (Port – IO)

About the Role Your job is developer enablement, and it is hands-on: you own the integration and automation layer of an enterprise internal developer platform built on Port.io. You will write the services and connectors that pull the platform's data together, build the workflows behind every self-service action using GitHub Actions and Temporal, maintain the reusable pipeline templates and embedded quality gates other teams consume, and operate the containerised runtime it all runs on. Key Responsibilities • Integration development: Write the integration services and custom connectors that connect the platform to ServiceNow (approvals, CMDB), identity, observability, cloud platforms and the delivery toolchain, using TypeScript or Node.js and Python with the Ocean framework. • Catalogue data: Build and maintain the ingestion that keeps the software catalogue accurate and current across source control, cloud platforms and enterprise systems. • Workflow orchestration: Build the automation behind self-service actions, using GitHub Actions for standard workflows and Temporal for durable orchestrations. • Pipeline products: Build reusable, versioned CI/CD pipeline templates consumed as golden paths. • Developer enablement: Unblock developers on pipelines, environments, tooling and automation, and make the supported approach the simplest one to follow. • Integration runtime: Deploy and operate the self-hosted integration workloads, such as Ocean-based connectors and event listeners, as containerised services on Kubernetes. • Performance testing capability: Operate and improve the k6 framework, covering its GitHub workflow integration, Kubernetes execution model and Grafana and InfluxDB visibility, and onboard engineering teams to it. • Quality gates: Integrate security scanning (Wiz, Checkov, OPA), testing and cost tooling so the gates apply by default. Required Skills • CI/CD depth: 10+ years in DevOps or platform engineering with advanced GitHub Actions experience, covering reusable workflows, composite actions, secrets and runner strategy. Equivalent platforms are fine if you are happy to standardise on Actions. • Kubernetes: Solid working Kubernetes. • Scripting and APIs: Strong scripting in TypeScript, Node.js, Python or Go, and automation against REST APIs and webhooks. • Software engineering: Production coding ability, not just scripting: services and integrations written in TypeScript or Node.js and Python, with the testing, review and documentation discipline that implies. • API integration: Building and consuming REST APIs, webhooks and event-driven integrations against enterprise systems, including authentication flows, rate limits and failure handling. • Enablement mindset: A track record of supporting and unblocking development teams, treating automation as a product with users. • Pipeline security: Building security into pipelines: secrets management, least-privilege runners and service identities, and dependency and IaC scanning as enforced gates. • Test automation in CI: Integrate automated testing into pipelines. Preferred Skills • Durable orchestration: Temporal preferred. Airflow, Step Functions or Argo Workflows transfer well. • IaC: Terraform and IaC pipeline integration. • Performance testing: k6, Gatling, JMeter or Locust. Any load-testing background transfers well. • Ecosystem: Port.io or Backstage exposure, the Ocean framework or comparable connector frameworks, JQ for data mapping, and ServiceNow integration. • Security: Container and Kubernetes security. Technologies & Tools The platform environment: • Developer portal: Port.io, or a Backstage background: catalogue, blueprints, self-service actions and scorecards, with configuration-as-code in JSON and YAML. Custom integrations use the Ocean framework in Python, plus the Port API and Terraform provider. • Languages: TypeScript, Node.js and React, with Python for custom integrations and JQ for data mapping. • Orchestration: GitHub Actions, with Temporal for durable workflows. • Delivery toolchain: GitHub and Terraform, an IaC quality and security stack (Wiz, Checkov, OPA, tflint, Infracost, Terratest), and k6 performance testing running on Kubernetes. • Integrations: ServiceNow for approvals and CMDB, observability tooling, and enterprise identity and RBAC.