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Platform Engineer / DevOps Engineer

Pracyva Ltd — United Kingdom · Posted ~1 week ago

Mid

Skills

Platform Engineering System Design Application Development CI/CD Kubernetes Terraform Network Security Python Bash Cloud-Native Technologies AWS Private Cloud

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Summary ✨ AI‑Generated

Build and operate modern developer platforms with a focus on reliability, security, automation, and efficient delivery. The role combines Kubernetes and private-cloud environments with Terraform, CI/CD, network controls, and Python/Bash scripting, with additional value placed on recognized cloud certifications.

Highlights

Broad platform engineering role centered on automation, CI/CD, Kubernetes, Terraform, secure networking, and cloud-native infrastructure. Industry certifications and private-cloud platform experience are welcomed.

Description

Required qualifications, capabilities, and skills · Formal training or certification on Platform Engineering concepts · Hands-on practical experience delivering system design, application development, testing, and operational stability · Proficiency 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 two · Strong understanding of network boundaries - segmentation, ingress/egress controls, service-to-service connectivity, and secure zone-to-zone traffic flow · DevOps toolchain expertise - CI/CD, Kubernetes, Terraform · Strong 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 platforms · Load balancing - L4/L7 load balancers, traffic distribution, and high-availability patterns · Serverless technologies (e.g., AWS Lambda) and event-driven architectures · Networking and scaling - DNS, routing, auto-scaling, horizontal/vertical scaling, and performance tuning under load · AWS (ECS, EKS, MSK) · CDN, WAF, and network boundary / perimeter design