8 of 8 Google Kubernetes Engine Jobs in the South East

and services. Participate in code reviews and contribute to continuous improvement across the team. Required Skills Proficiency in Python and unit testing frameworks (e.g., pytest ). Strong experience with Google Cloud Platform (GCP) , including Cloud Run and core web infrastructure. Solid understanding of Infrastructure-as-Code tools (e.g., Terraform ) and modular development best practices. Familiarity with agile methodologies and … application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this opportunity aligns with your experience and career goals. More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/Hybrid Salary: Flexible, Dependant on Experience Are … . For clarity, you must be working on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent … on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker). Familiarity with CI/CD pipelines and tooling. Solid knowledge of Linux, networking, and cloud security best practices. Experience with scripting languages (Python, Bash, Go). More ❯

continuous improvement. Essential skillsets and experience for the Cloud Software Engineers Skillset 1: Python back-end experienceCSED back-endFAST API Back-end experienceREACTGCP Skillset 2: * Backend: FastAPI* Hosting: GCP (GKE and Cloud Run)* Deployment: Terraform and GitHub Actions* Agents: LangGraph and Pydantic AI (nice to have)* Frontend: React (nice to have).* HPC (HPC migration experience) General Experience: Bachelor's … degree in a relevant field (computational, numerate, or life sciences) or equivalent experience. Python programming skills. Experience with cloud platforms (Google Cloud preferred), including web application infrastructure. Familiarity with unit testing frameworks (e.g. pytest). Infrastructure-as-Code experience (e.g. Terraform), with knowledge of best practices. Agile development experience and proficiency with modern DevOps tools (e.g. GitHub, CI/… Exposure to biological or scientific data (e.g. genomics, proteomics) or pharmaceutical industry is nice to have. Understanding of AI/ML techniques, especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine. Some frontend development experience (e.g. React). Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation More ❯

Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault … such as client onboarding, document summarisation, and risk signal extraction Security Tooling Static code analysis (Bandit, SonarQube) Secrets scanning, encryption (at rest/in-transit), token management Identity integration (Google Identity, Azure Entra ID) Data Security & Governance RAG pipelines with data classification, masking, and DLP GDPR and data residency … compliance MLOps & DevSecOps GitHub Actions, CI/CD security testing, model drift detection, audit logging Lab Environment Tooling Infrastructure-as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring & Observability: Prometheus, Grafana, Cloud Logging More ❯

and distributed system design for one of the most ambitious financial technology projects in the world. Why apply? Greenfield engineering - modern tech stack: Java, Spring Boot, Kubernetes (EKS & GKE), Kafka, Apache Ignite, MongoDB, RabbitMQ, Solace Massive scale - billions of risk calculations per day across trading desks globally Impact & visibility - shape the technical direction while mentoring global engineering teams Hybrid … employee discounts, and more) What you'll do Lead technical direction of a next-gen cross-asset risk platform Drive cloud adoption (AWS & GCP), with hands-on focus on Kubernetes and distributed systems Set coding standards, architecture patterns, and best practices across a global engineering team Work with senior stakeholders, cloud vendors (AWS, Google) , and quant teams to … guide developers while staying hands-on in the codebase What we're looking for Expert knowledge of Java/JVM/Spring Boot Deep experience with Kubernetes (EKS, GKE) and cloud platforms (AWS, GCP) Proven background in distributed systems, event-driven architecture, and high-performance platforms Strong leadership skills - able to influence, mentor, and set technical strategy Experience with More ❯