4 of 4 Remote/Hybrid Google Kubernetes Engine Jobs in London

engineering standards Implement monitoring across pipelines, models, and UI Work closely with Product, Data Science, and senior stakeholders Tech Stack Cloud & DevOps: GCP, GKE, Terraform, GitHub, Cloud Build Data & Processing: GCS, Apache Spark, PostgreSQL, Redis Frontend & Analytics: React, Power BI Languages: Python, R Profile Experience as a Technical Architect/ ...

scripting languages (e.g. Python, Ruby). Container Orchestration: In‐depth knowledge and hands‐on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In‐depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/… expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking – Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self‐funded, London‐based startup; providing businesses ...

Drive security culture and help shape engineering roadmaps Support company-wide security initiatives, including AI policy governance Implement and manage security tooling across cloud, Kubernetes and pipelines Work closely with dev and cloud teams to embed secure-by-design practices Act as a security champion, helping teams adopt secure … delivery confidence What You’ll Bring Cloud engineering background with recent DevSecOps experience Exposure to GCP (IAM, networking, security controls) Kubernetes security experience (GKE/EKS/AKS) Strong IaC skills (Terraform/OpenTofu) Experience with security tooling (Aqua, Falco, Prisma, Checkov, Trivy, OPA etc.) Scripting/automation skills ...

Developed Vetting (DV) security clearance to be considered. Key Responsibilities Agentic Workflows: Design, implement, and optimize multi-agent frameworks and stateful LLM applications. Kubernetes Orchestration: Containerize, deploy, and scale AI models, APIs, and microservices across production Kubernetes (K8s) clusters. Infrastructure & Scaling: Configure K8s workloads for high availability, managing … development via FastAPI/Flask). Cloud Infrastructure: Experience deploying to secure cloud environments (AWS, Azure, or GCP) utilizing standard K8s distributions (EKS, AKS, GKE). Clearance Requirements Hold active DV clearance (SC minimum) and willing to go through DV if chosen. ...