1,001 to 1,025 of 4,041 GCP Jobs

across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While you'll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration, a cross-functional More ❯

with a focus on automation and infrastructure management Strong knowledge of CI/CD tools (e.g., GitHub Actions, GitLab CI, ArgoCD) and GitOps practices Expertise in cloud platforms (AWS, GCP, Azure) and cloud architecture; certifications are a plus Experience with Kubernetes, Docker, and microservices, as well as monitoring tools (Prometheus, Grafana, Loki, Mimir) Strong experience in Infrastructure as Code (IaC … to define and implement DevOps standards Support and coach team members, fostering a culture of learning and continuous improvement Technologies: AWS ArgoCD Azure CI/CD Cloud DevOps Docker GCP GitHub GitLab GitOps Grafana Support Kubernetes Prometheus Terraform microservices More: SIV.AG is part of the Harris Group, one of the leading providers of industry-specific software solutions for both German More ❯

field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex More ❯

field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex More ❯

field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable and performant data solutions in complex More ❯

/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions. Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation. Work with Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP) to deploy and scale applications. Monitor application performance and infrastructure using tools like Prometheus, Grafana, ELK, or Datadog. Collaborate with development teams to optimize build and deployment strategies for Java … Boot. Proficiency with container technologies (Docker, Kubernetes). Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI). Experience with cloud platforms such as AWS, GCP, or Azure. Strong knowledge of infrastructure as code (IaC) tools like Terraform or Ansible. Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Good understanding of microservices More ❯

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while More ❯

in developing and optimising CI/CD pipelines, infrastructure as code, and cloud environments. Ensure the reliability, scalability, and security of cloud infrastructure, primarily on AWS, with exposure to GCP and Azure. Foster a culture of continuous improvement, innovation, and collaboration within the team. Key Requirements Proven experience in a DevOps leadership or management role with a strong technical background. … Hands-on expertise with AWS; experience with GCP or Azure is a plus. Proficiency in containerisation technologies, particularly Kubernetes and Docker. Previous experience working on MOD or defence-related projects; familiarity with Navy Digital is highly desirable. If you are passionate about leading a team delivering impactful solutions in the defence sector and thrive in a dynamic, mission-driven environment More ❯

to research and pick up new tools and techniques quickly. Ability to visualise data effectively and communicate findings and recommendations clearly. Proven experience of cloud technologies (AWS, MS Azure, GCP). Advantageous competencies (but not essential): Exposure to AI/ML. Exposure to the open source stack. Experience in price modelling techniques. Experience in managing a small data team and More ❯

replace this core Go requirement. Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity More ❯

replace this core Go requirement. Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity More ❯

replace this core Go requirement. Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity More ❯

replace this core Go requirement. Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity More ❯

in developing and optimising CI/CD pipelines, infrastructure as code, and cloud environments. Ensure the reliability, scalability, and security of cloud infrastructure, primarily on AWS, with exposure to GCP and Azure. Foster a culture of continuous improvement, innovation, and collaboration within the team. Key Requirements Proven experience in a DevOps leadership or management role with a strong technical background. … Hands-on expertise with AWS; experience with GCP or Azure is a plus. Proficiency in containerisation technologies, particularly Kubernetes and Docker. Previous experience working on MOD or defence-related projects; familiarity with Navy Digital is highly desirable. If you are passionate about leading a team delivering impactful solutions in the defence sector and thrive in a dynamic, mission-driven environment More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

if you have 5+ years of experience in Solution Architecture, Software Architecture, or a similar senior technical role. Hands-on expertise with at least one major cloud platform (AWS, GCP, or Azure) and a strong grasp of modern architectural patterns, including microservices, containerization, serverless, and others. Proficiency in creating high-level design documentation, such as context and container diagrams, sequence More ❯

issues Strong collaboration and communication skills with the ability to work effectively with cross functional teams Cloud Computing Expertise: Proven project experience in cloud computing (OpenShift Or AWS/GCP/Azure) Bachelor's or master's degree in computer science, artificial intelligence or a related field Optional: Experience with the agile development methodologies and version control systems such as More ❯

/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. … record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in More ❯

/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. … record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in More ❯

+ year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. 7. Experience with version control systems More ❯

experience with Large Language Models (LLMs) and advanced prompt engineering . Familiarity with containerization ( Docker/Kubernetes ) and CI/CD pipelines. Knowledge of cloud infrastructure ( AWS, Azure, or GCP ) for AI service deployment. More ❯