14 of 14 GCP Jobs in Preston

Strong understanding of CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Experience with API testing tools (e.g., Postman, RestAssured). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: ISTQB or equivalent certification. Experience with performance testing tools (e.g., JMeter, Gatling). Knowledge of BDD More ❯

headless CMS solutions. Strong understanding of RESTful & GraphQL APIs. Proven experience in leading a development team and mentoring junior engineers. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ More ❯

such as TOGAF, Zachman, FEAF, ArchiMate, and Gartner EA. Deep understanding of Digital Transformation strategies and solutions enabled by any of the three major public clouds AWS, Azure or GCP Deep expertise in application modernization and Microservices Extensive experience in platform technologies, specifically Salesforce, SAP and ServiceNow Versed with Hybrid Cloud security solutions, including Cloud-native security. Experience in conducting More ❯

deploy" vision. This includes guiding technical teams on operational best practices and understanding product development requirements to integrate DevOps principles. A strong understanding of cloud services (AWS, Azure, or GCP) for large-scale production deployments is essential. You'll be responsible for building, releasing, and configuring production systems , troubleshooting issues across platforms, and staying current with new technologies. This role … architectural guidance for DevOps improvements. Qualifications Bachelor's Degree or equivalent experience. 6 - 8 years in DevOps practices, including CI/CD solution design and cloud computing (AWS, Azure, GCP). Expertise in version control (GitHub/GitLab) and build/release tools (e.g., Jenkins, Azure DevOps, Artifactory). Proficient in Docker and Packer . Familiarity with cloud architecture, networking More ❯

while staying hands-on and close to the tech. Key Responsibilities: Technical Strategy: Define and evolve architecture across platforms; make key decisions on tooling, infrastructure, and cloud (Azure, AWS, GCP). Team Leadership: Mentor engineers, shape team structure, and foster a collaborative, high-performing culture. Hands-On Delivery: Stay involved in coding, reviews, and prototyping; champion best practices in CI More ❯

in languages such as .NET (C#), Java, or similar. Experience with SaaS platforms and external-facing API development. Strong understanding of microservices architecture and cloud platforms (AWS, Azure, or GCP). Demonstrated ability to address performance and scalability issues in web-based applications and databases. Excellent problem-solving skills and the ability to work independently in a remote environment. Strong … in languages such as .NET (C#), Java, or similar. Experience with SaaS platforms and external-facing API development. Strong understanding of microservices architecture and cloud platforms (AWS, Azure, or GCP). Demonstrated ability to address performance and scalability issues in web-based applications and databases. Excellent problem-solving skills and the ability to work independently in a remote environment. Strong More ❯

working (option of remote or hybrid + ad hoc client site travel) Primary requirements: Must be eligible for SC clearance Experience in multi/hybrid cloud environments (AWS, Azure, GCP) Good working knowledge in IaC, CI/CD, Automation Scripting/Deployment, Containerisation & Microservice platforms Proven track record providing client DevOps Best Practice, Strategies & Solutions recommendations Cost Evaluation and Value More ❯

Social network you want to login/join with: FinTech/Private Markets/Web Development/AI ? Equity ownership (10–15%) + future salary/benefits post-MVP ? Full-time ? Proven experience as a full-stack engineer with the More ❯

+ + competitive benefits, depending on experience. Requirements: Experience building and shipping large scale applications Knowledge of Java AND OR Kotlin A solid understanding of AWS OR GCP Experience with TDD and pain programming. Experience with third-party libraries and APIs. Experience leading engineering decisions in a complex environment and influencing a wide range of stakeholders. Strong understanding of software More ❯

management with a focus on data platforms or enterprise SaaS products. Strong technical background with a solid understanding of data architectures, APIs, ETL pipelines, and cloud technologies (e.g., AWS, GCP, Azure). Proven experience working with CDPs, DMPs, CRMs, or similar customer data tools. Familiarity with identity resolution, customer segmentation, and real-time personalization. Hands-on experience with agile product More ❯

CD pipelines and other automation frameworks. Skills: VMWare - vSphere Hyper-V Strong knowledge with automation and scripting technologies such as Python, PowerShell or Ansible. Cloud-based virtualisation (e.g., Azure, GCP, AWS) Knowledge around relevant industry standards such as ISO 27001 & GDPR. Benefits Healthcare package Life Works Gym Allowance Cycle to Work Long-Term Sickness Insurance Employee Assistance Programme Discretionary Bonus More ❯

and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and business teams Experience supporting pharmaceutical or life sciences data workflows is a plus Responsibilities: Manage and optimize data More ❯

hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with current Data Science/AI/… explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with the option to work 4 days a week. #J-18808-Ljbffr More ❯

Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience working on data-heavy applications Familiarity with CI/CD pipelines If you're available from 19th May More ❯