1 to 25 of 160 Permanent GCP Jobs in the Thames Valley

time on-site role 3 days a week minimum in Kings Cross London. We are seeking a skilled Site Reliability Engineer with a strong focus on Google Cloud Platform (GCP) to join our dynamic team. In this role, you’ll be responsible for maintaining cloud infrastructure, managing incidents, and ensuring seamless operations for our clients. You’ll use tools like … incident.io and JIRA to manage and resolve support requests efficiently. Qualifications 8-10 years of experience managing applications and infrastructure performance. Proven experience with Google Cloud Platform (GCP) services. Familiarity with incident.io for incident tracking and management (of equivalent) Proficiency in using JIRA for task management and support workflows. Strong experience working with observability tools (Grafana) Strong troubleshooting and problem … Understanding of cloud security and performance optimisation best practices. Knowledge of scripting or automation tools (e.g., Python, Terraform) is a plus. Excellent communication and customer service skills. Certifications in GCP (Professional certifications) are highly desirable. Ability to work under pressure and prioritise tasks effectively. Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). Responsibilities More ❯

skills in Python, Java, or similar languages. Solid understanding of modern data engineering practices (ETL/ELT, data pipelines, data modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting More ❯

experience managing cloud infrastructure at scale using Terraform or similar Infrastructure as Code (IaC) tools. Deep understanding of large-scale deployment strategies, container orchestration (Kubernetes, Docker), and cloud platforms ( GCP, AWS or Azure ). Experience in applying statistical and machine learning techniques to unstructured data, particularly with image and geometric datasets. Proficiency with data science and machine learning libraries in More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

. Familiarity with financial data models, structured datasets, and data validation. Understanding of regulatory reporting, trade lifecycle data, or capital markets workflows. Experience with cloud platforms such as AWS, GCP, or Azure and scalable data environments. Excellent communication skills and ability to present findings to technical and non-technical stakeholders. Nice to Have: Experience in RegTech, capital markets, or post More ❯

CI/CD workflows. Mindset: Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising More ❯

Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services in Linux/Unix environments. Strong More ❯

Designing and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI Managing infrastructure as code (Terraform, Pulumi, CloudFormation) Supporting cloud environments (AWS, Azure, or GCP) Monitoring and optimizing system performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments More ❯

Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong More ❯

design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across the More ❯

AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given More ❯

environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM More ❯

OneToMany, ManyToOne, etc.), lazy/eager loading , and cascade types . · Familiarity with JUnit for writing and executing test cases · Basic understanding of cloud platforms like AWS, Azure, or GCP · Strong knowledge of RESTful APIs, JSON, and HTTP · Experience with version control tools like Git · Experienced in working within Agile/Scrum environments. · Familiar with Agile tools such as JIRA More ❯

years of experience in software development, preferably in financial services or fintech. Strong proficiency in Java, Spring Boot, React.js, and RESTful APIs. Experience with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Familiarity with banking systems, digital identity, and secure data handling. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with microservices architecture and event-driven systems. More ❯

microservice architecture. Proven hands-on experience with Kafka (or RabbitMQ, Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to More ❯

alerting tools (e.g., Prometheus, Grafana, ELK stack). Proficient in Git or other version control systems. Desirable Knowledge, Skills and Experience: Certifications in OCI or other cloud platforms (AWS, GCP). Experience with security tools like OWASP ZAP, Burp Suite, etc. Familiarity with Jira, Confluence, or similar tools. Knowledge of compliance frameworks (e.g., GDPR, HIPAA, ISO 27001, ISO 13485). More ❯

eg. React, Next.js, Tailwind) Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: Experience in frontend development (eg. Javascript, Typescript, React.js) Worked More ❯

. Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Strong understanding of financial data structures – including trades, positions, executions, and market data. Preferred (Bonus) Qualifications Experience in financial markets, particularly in brokerage, trading desks, or hedge More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

s degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get in return You'll join a fast-paced, agile team in a company that values innovation and collaboration. You More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯