> Markdown version of [/jobs/ext/4696327-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4696327-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Just Eat Takeaway.com - **Location:** Netherlands - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Cloud Computing, Computer Programming, Continuous Integration, Software Debugging, Domain Name System (DNS), Amazon DynamoDB, Github, Hypertext Transfer Protocols (HTTP), Identity and Access Management, Python (Programming Language), Linux System Administration, Networking Basics, OpenID, Performance Tuning, Role-Based Access Control, Site Reliability Engineering Practices, Prometheus, Software Deployment, Datadog, Scripting, Transport Layer Security, Cloud Platform System, Delivery Pipeline, Grafana, AI Coding Agents, Event Driven Architecture, Amazon Relational Database Service, Kubernetes, Infrastructure Automation Frameworks, Hashicorp, Functional Programming, Terraform, Microservices - **Published:** November 13, 2026 - **Apply:** https://startup.jobs/platform-engineer-takeawaycom-central-core-bv--10761129 ## About the Role We're looking for a Platform Engineer to join our Runtime team. This role is ideal for someone who enjoys building, operating, and improving reliable infrastructure while growing their skills in cloud-native platforms at scale. Exposure to or experience with AI-driven development workflows is strongly preferred as we integrate intelligent automation into our engineering processes. You'll work closely with senior engineers to help roll out, operate, and standardize core platform capabilities such as EKS clusters, HashiCorp Vault, and Argo-based delivery workflows. This is a hands-on role where you'll contribute to platform services that enable application teams to deploy and run workloads securely and reliably., * Good understanding of Linux fundamentals, networking basics (DNS, TLS/SSL, HTTP), and containers. * Hands-on experience with Kubernetes, ideally with EKS or another managed Kubernetes offering. * Familiarity with RBAC, authentication concepts (OIDC), and basic secret management practices. * Experience working with Crossplane, Terraform, and Helm for infrastructure or application deployment. * Exposure to microservices or event-driven architectures. * Interest in SRE practices, automation, monitoring, and operational excellence. * Awareness of cloud security best practices and a desire to learn more. * Scripting or programming experience in Go, Python, or Bash. * A collaborative mindset and eagerness to learn from peers and contribute to team goals. ## Description * Design, deploy, and operate cloud workloads on AWS (primarily EKS, alongside services like EC2, Lambda, IAM, S3, RDS, and DynamoDB), contributing to cluster operations across multiple environments. * Build and maintain cloud infrastructure using IaC tools such as Crossplane and Terraform, following established patterns and best practices. * Implement and support monitoring, alerting, and observability using tools like Grafana, Prometheus, and Datadog. * Work with Linux-based systems, assisting with debugging, performance tuning, and operational tasks. * Support the rollout and usage of Helm, ArgoCD, and Argo Workflows as part of our GitOps approach. * Collaborate with development teams to help them deploy and operate microservices and event-driven workloads. * Participate in incident response, troubleshooting, and post-incident reviews, learning root-cause analysis techniques. * Assist in operating HashiCorp Vault, including secret injection, access policies, and integrations with EKS workloads. * Build and maintain continuous integration and deployment pipelines using GitHub Actions. * Explore and integrate AI coding assistants and AI-driven automation tooling to optimize engineering workflows and improve developer productivity across platform operations.