1 to 25 of 60 Permanent GCP Jobs in Cambridge

services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor’s degree from an accredited university in Computer Science More ❯

services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor’s degree from an accredited university in Computer Science More ❯

services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor's degree from an accredited university in Computer Science More ❯

and Server-Side Rendering (SSR) . Previous experience building applications with a focus on security and compliance . Understanding of cloud technologies (AWS, Azure, GCP) and containerisation (Docker). Experience working in Agile environments and collaborating closely with cross-functional teams. We’ll give you the freedom to innovate, push More ❯

back-end development using Node.js and frameworks like Express. Experience with databases (SQL, NoSQL) and building scalable APIs. Familiarity with cloud hosting platforms (AWS, GCP) and containerization tools (Docker, Kubernetes). Strong understanding of modern web development practices, including responsive design and accessibility. Proven ability to work across the full More ❯

KernelCI instance, ensuring its integration and functionality align with team objectives. Manage and monitor a distributed cloud infrastructure hosted primarily on Google Cloud Platform (GCP). Administer and optimize Google Kubernetes Engine (GKE) clusters. Automate workflows using tools like Terraform and Helm to improve infrastructure-as-code practices. Support and … modify, and validate critical embedded and cloud edge software, applications, and/or specialized utility programs. ● Expertise with cloud infrastructure, particularly Google Cloud Platform (GCP) and associated services: Google Kubernetes Engine (GKE) Google Storage Load Balancing Identity and Access Management (IAM) ● Experience with infrastructure automation tools: Terraform Helm LAVA ● Familiarity More ❯

Kubernetes, Serverless, containers, microservices). Hands-on experience with load testing frameworks (e.g., Locust, JMeter, k6) and system profiling tools. Strong experience with AWS, GCP, or Azure, and IaC tools (Terraform, Helm, etc.). Familiarity with CI/CD pipelines, monitoring tools, and production support practices. Proven experience monitoring production More ❯

cooperatively within a team, Experience working with microservice architectures and building monitoring/observability metrics, Understanding of cloud native landscapes (AWS or Azure or GCP), Knowledgeable of containerized environments would be beneficial(Docker or Kubernetes). Benefits we offer: 23 days' holiday + all public holidays, rising to 25 days More ❯

environment. Experience working on microservices and distributed systems. Experience working with SQL and NoSQL databases. Experience working on cloud platforms such as AWS/GCP/Azure and working with infrastructure as code tools such as AWS CDK and Terraform. Experience running and deploying software on GNU/Linux or More ❯

cooperatively within a team, Experience working with microservice architectures and building monitoring/observability metrics, Understanding of cloud native landscapes (AWS or Azure or GCP), Knowledgeable of containerized environments would be beneficial (Docker or Kubernetes). Benefits we offer: 23 days' holiday + all public holidays, rising to 25 days More ❯

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 More ❯

methodologies, CI/CD pipelines, and tools such as Terraform, Ansible, and GitLab. Experience with Cloud Platforms: In-depth knowledge of cloud platforms (AWS, GCP, Azure), with AWS being the primary focus. Leadership: Demonstrated ability to lead and inspire large, technically diverse teams (30-40 people) in a fast-paced More ❯

Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration More ❯

with low-level peripherals using proprietary communication interfaces or to cloud-native services via RESTful APIs. Experience with cloud Integration and IoT Devices with GCP, Azure, or AWS. Knowledge of software system virtualization and containerization. Ability to mentor and guide junior engineers with experience in cross-functional collaboration with multidisciplinary More ❯

or strong interest in becoming deeply proficient Experience building infrastructure for multiplayer or real-time applications DevOps/cloud-native experience (e.g., AWS/GCP, Kubernetes, Docker) Excellent communication and leadership skills Self-driven, with a startup mindset and strong ownership Bonus Points Prior experience in building MMOs or large More ❯

qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong communication skills for explaining More ❯

skills, with the ability to present complex technical concepts clearly to diverse audiences Some familiarity with containerization technologies (Docker, Podman, Kubernetes) and cloud (AWS, GCP) application deployment including monitoring (Grafana) Desire to work in a rapidly evolving startup environment where you will have a high impact Strong academic background with More ❯

experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure). Qualifications (Preferred for Senior Roles) Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI. Academic or More ❯

Proven experience in the technical development, deployment, and operation of AI solutions. Understanding of AI models. Experience with cloud and AI services from AWS, GCP, and Azure. Experience with automated ML frameworks and UI development. Familiarity with Kubernetes, Terraform, Spark, TensorFlow, PyTorch. Familiarity with configuring GitLab CI pipelines. Familiarity with More ❯

Proficiency with machine learning libraries such as TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy. Experience with AWS (EC2, S3, SageMaker) or Azure/GCP equivalents. Experience designing, developing, and deploying scalable infrastructure (e.g., Apache Airflow, Luigi). Object-oriented programming concepts and design. Ability to create well-documented, modular More ❯

such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents Some experience of designing, developing and deploying scalable infrastructure (eg Apache Airflow, Luigi or other cluster management software) Object Orientated concepts and design The More ❯

a security-first mindset Deep understanding of infrastructure-as-code (IaC) tools like Terraform, Ansible, or Pulumi Proficiency with cloud platforms (AWS, Azure, or GCP), ideally in a secure or classified environment Familiarity with containerization (Docker, Podman) and securing container workflows Experience with tools such as GitLab CI, Jenkins, SonarQube More ❯

in Credit Risk - Stress Testing Nice to Have Experience with Liquibase/Flyway, monitoring tools (Prometheus, ELK, Grafana). Exposure to cloud platforms (e.g., GCP, AWS). Familiarity with data warehousing patterns (e.g., SCDs, fact tables, junk dimensions). Benefits include: 25 days holiday plus bank holidays pension Death in More ❯

a team player but with the ability to operate autonomously and take independent decisions. Experience working with Python. Experience of either AWS, Azure, or GCP or similar cloud compute environments. Familiarity with Docker or containers is desirable. Knowledge or interests in cyber-security/malware forensics. Machine learning technique experience. More ❯

stack (storage, API, services, infrastructure, UI, etc), Experience developing software for Windows or MacOS, Experience working with Cloud Infrastructure such as AWS, Azure or GCP, Experience with machine learning frameworks and libraries, such as PyTorch. Benefits we offer: 23 days' holiday + all public holidays, rising to 25 days after More ❯