1 to 25 of 2,005 GCP Jobs in the UK

software development lifecycle (SDLC). You will take ownership of threat modeling, vulnerability management, and security automation efforts with a specific focus on cloud platforms, primarily Google Cloud Platform (GCP). You will be instrumental in building scalable, resilient security architectures that protect sensitive customer data, meet rigorous regulatory requirements, and enable rapid innovation in a dynamic FinTech environment. What … architectural best practices aligned with industry benchmarks such as OWASP Top 10 and API Security Top 10. Partner with cloud engineers and developers to embed security controls specific to GCP, such as workload identity, IAM policy enforcement, VPC Service Controls, and encryption. Develop and maintain architectural blueprints and documentation that clearly communicate security design decisions and rationale across teams. Security … you to engage deeply with developers and architects to influence design decisions early and effectively. You have a deep understanding of cloud-native architectures, especially within Google Cloud Platform (GCP), and a clear grasp of the unique security challenges faced by FinTech companies operating in regulated environments. You are proactive in automating security processes and committed to fostering a culture More ❯

maintenance of our data infrastructure, ensuring efficient and scalable data pipelines. You will be responsible for hands-on implementation and optimization of data systems on the Google Cloud Platform (GCP), contributing to critical projects while mentoring junior Engineers. This role focuses on delivering technical solutions, applying best practices, and driving innovation within the data engineering team. Reporting into our Interim … Head of Data. What you'll be getting up to: Design, develop, and maintain scalable data pipelines using modern data engineering tools and technologies on our GCP stack. Build and optimize our lake house on Google Cloud Platform (GCP). Implement data ingestion, transformation, and loading processes for various data sources (e.g., databases, APIs, cloud storage). Ensure data quality … to deliver complex data projects. This role will be a great fit if: Expert in GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Functions. GCP Professional Data Engineer Certification is highly favourable. Advanced knowledge of SQL for complex data transformation and query optimization. Proven experience in Python for scalable data pipeline development and orchestration More ❯

such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). Experience with RESTful API design and development. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git and Jira, BitBucket, Bamboo from Atlassian). Understanding of agile development methodologies (Scrum, Kanban). Excellent More ❯

such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). Experience with RESTful API design and development. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git and Jira, BitBucket, Bamboo from Atlassian). Understanding of agile development methodologies (Scrum, Kanban). Excellent More ❯

to work effectively with cross-functional teams, including business analysts, data stewards, and other developers. Cloud Technologies : Proficiency with cloud-native services and patterns across major platforms (AWS, Azure, GCP), including serverless functions and managed database services. AI Engineering : Basic understanding and interest in integrating AI capabilities for data quality, matching, and enrichment within master data management systems. Adaptability : Willingness More ❯

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

production environments. Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI). Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure). Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment. Practical experience with infrastructure-as-code (Terraform, CloudFormation, etc.). Understanding of concurrency, distributed systems More ❯

s industry-leading cloud solutions. Reporting directly to our VP of Engineering, in this role, you will be responsible and accountable for the security, reliability, and scalability of our GCP infrastructure. This is a highly strategic role where you will be directly responsible for continued success of the entire Aforza product suite. As such, the ideal candidate must be hands … up environments, where every employee has a direct impact on the company's success. All of Aforza's cloud applications, microservice and websites are hosted on Google Cloud Platform (GCP) running on Google Kubernetes Engine. We use TypeScript across the board in both frontend and backend. Here's a high-level overview of the different areas of our stack: Frontend … TypeScript, React, Redux, Styled Components We make use of the following GCP products: Google Kubernetes Engine (with Istio service mesh) Cloud Memorystore for Redis BigQuery Datastream Firestore What You'll Do Maintain, monitor, and secure our GCP infrastructure. Manage the deployment and upgrades of core technologies. Implement new platform centric features such as SSO. Help architect new products with your More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

bottlenecks, scalability challenges, and other technical issues. Agile Development: Experience working in Agile environments with tools like Jira and Confluence. Preferred Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API More ❯

You'll need: Strong backend development experience in Java and ideally another OOP language. Experience with containerization (Docker), orchestration (Kubernetes), and service mesh (Istio). Familiarity with cloud platforms (GCP preferred) and IaC tools (Terraform). Proficiency in CI/CD tools and DevOps principles. Experience with TDD using JUnit and knowledge of secure coding practices. Any experience with the More ❯

processes and enterprise software implementation. • Strong problem-solving skills and attention to detail. • Excellent communication and documentation skills. Preferred Skills: 1. Experience working with cloud platforms (AWS, Azure, or GCP). 2. Exposure to CI/CD, Git, and containerization (Docker/Kubernetes). 3. Background in enterprise pricing, CPQ, or revenue management platforms. 4. Experience in Agile/Scrum More ❯

and at least one major frontend framework (React, Vue.js, or Angular). Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems, message queues, and event-driven architectures. Experience with high More ❯

principles and patterns (e.g., microservices, event-driven), with experience in system design and modelling (e.g., UML, C4). Cloud Platforms : Hands-on experience with AWS (and/or Azure, GCP), focusing on scalability, resilience, and cost efficiency DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling More ❯

years of professional experience as a backend/platform engineer Have deep expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently More ❯

or analytics domain. Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM's, Lucene. Occasional travel may be required. Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics Deep understanding More ❯

test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical, problem-solving, and communication skills Comfort working with remote teams and distributed delivery More ❯

and ReactJS (TypeScript). Implement modern software engineering best practices, including microservices, automated testing, and CI/CD pipelines. Work with cloud platforms such as AWS (preferred), Azure, or GCP for application deployment and scaling. Develop and maintain RESTful APIs and integrate third-party services. Utilise containerisation tools (Docker, Kubernetes) and infrastructure-as-code solutions. Collaborate with cross-functional teams More ❯

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

our secure, distributed, cloud-native systems. This is a hands-on leadership role where you'll shape engineering strategy while designing and delivering scalable platforms across AWS, Azure, and GCP, leveraging technologies like Java/Kotlin, Spring Boot, Kafka, Kubernetes, and CI/CD pipelines. This role is perfect for someone who thrives at the intersection of technical depth, product More ❯

ELK Stack) and cloud cost optimisation strategies. Preferred Skills: AWS certification(s) (e.g., AWS Certified Solutions Architect, AWS Certified Security - Specialty). Experience with other cloud platforms (e.g., Azure, GCP). Familiarity with serverless architectures and AWS Lambda. Expertise in compliance standards such as GDPR, HIPAA, SOC2, and ISO 27001. Experience with advanced security practices such as zero-trust architecture More ❯

work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/ More ❯

work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/ More ❯