DontApply.Club
Login Register

Site Reliability Engineer

Q1Tech — United Kingdom · Posted ~22 hours ago

Mid Onsite

Skills

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

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Join an infrastructure engineering team responsible for building reliable, secure, and automated platforms. You will work across system design, CI/CD, Kubernetes, private cloud environments, Terraform, networking, and Python/Bash automation, with opportunities to apply or develop industry-recognized cloud and Kubernetes expertise.

Highlights

Hands-on infrastructure role with strong emphasis on automation, cloud-native engineering, platform reliability, and secure networking. Certification support and experience across Kubernetes and private cloud environments are valued.

Description

Site Reliability Engineer (DevOps) Glasgow UK (Onsite) 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 tasksPreferred 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