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Platform / DevOps Engineer

Q1Tech — United Kingdom · Posted ~1 day ago

Skills

Platform Engineering System Design Application Development Testing CI/CD Cloud-Native Kubernetes Terraform Python Bash Network Segmentation Ingress/Egress Controls Service Connectivity Automation AWS Private Cloud

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Summary ✨ AI‑Generated

Build and operate modern platforms with a strong focus on automation, continuous delivery, Kubernetes, infrastructure as code, and cloud-native architecture. You will design reliable systems, manage secure network boundaries, automate operational tasks with Python and Bash, and evaluate trade-offs between different infrastructure platforms.

Highlights

Platform engineering role combining cloud-native infrastructure, Kubernetes, Terraform, CI/CD, automation, scripting, and secure network architecture. Offers broad exposure to platform design, application delivery, operational stability, and infrastructure trade-offs across private and cloud-native environments.

Description

Required qualifications, capabilities, and skills Formal training or certification on Platform Engineering conceptsHands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methods (CI/CD)Practical cloud-native experience across private cloud VSI and Kubernetes, including a clear understanding of the trade-offs between the twoStrong understanding of network boundaries - segmentation, ingress/egress controls, service-to-service connectivity, and secure zone-to-zone traffic flowDevOps toolchain expertise - CI/CD, Kubernetes, TerraformStrong scripting and automation skills using Python and Bash for tooling, orchestration, and operational tasks Preferred qualifications, capabilities, and skills Certifications a plus - CKA, CKAD, AWS (e.g., Solutions Architect, DevOps Engineer)Private cloud VSI vs. Kubernetes platform experience - provisioning, deploying, and operating workloads on Virtual Server Instances alongside container orchestration platformsLoad balancing - L4/L7 load balancers, traffic distribution, and high-availability patternsServerless technologies (e.g., AWS Lambda) and event-driven architecturesNetworking and scaling - DNS, routing, auto-scaling, horizontal/vertical scaling, and performance tuning under loadAWS (ECS, EKS, MSK)CDN, WAF, and network boundary / perimeter design