201 to 225 of 1,974 GCP Jobs

experience building production-grade Python services with FastAPI, Flask, or Django REST Framework Deep understanding of microservices architecture, APIs, service discovery, and messaging patterns Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes a plus) Strong software engineering fundamentals: clean code, testing, performance optimisation, OOP, algorithms Familiar with SQL and NoSQL databases (PostgreSQL, MongoDB) and CI/CD More ❯

with Auth0, AWS Cognito, Helm, Prometheus/Grafana, OpenTelemetry or Honeycomb Experience with CI/CD pipelines for containerised and serverless environments Knowledge of additional cloud platforms such as GCP or Azure Benefits Market-leading salary (£70,000-£100,000 depending on experience) Fully remote role (NI-based) Generous annual leave entitlement Modern tech stack and greenfield project work Excellent More ❯

and best practices. Skills/Must have: Strong knowledge of enterprise architecture principles and design patterns. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Solid experience in APIs, microservices architecture, and containerization (Docker/Kubernetes). Understanding of DevOps principles, CI/CD pipelines, and automation tooling. Proficiency in architecture and diagramming tools More ❯

for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable More ❯

demonstrable experience with CI/CD tools and platforms like GitLab CI, Nexus, SonarQube, Docker Infrastructure as Code (IaC) including Terraform, Ansible and cloud provisioning basics with OCI/GCP as preferred cloud environments Attention to detail with problem-solving capabilities, able to debug pipelines, resolve issues and assist with improvements in our platforms/tools and CI/CD More ❯

GitLab and testing tools/frameworks such as SonarQube, xUnit, Postman, Cucumber, Polaris, Blackduck. • Strong hands-on experience in any one or more cloud technologies such as Azure/GCP/AWS. • Strong knowledge in data structures, algorithms, design patterns & Clean architecture principles • Strong knowledge in design principles/methodologies such as SOLID, 12 Factor App, TDD, BDD, Agile Scrum More ❯

experience working with LLMs and optimizing prompt strategies Knowledge of RAG and vector search integration Expertise in scalable AI deployment using Docker, Kubernetes, and cloud platforms such as Google Cloud Platform Very good command of English , German is a plus Wir bieten Competitive compensation including annual bonus , equity awards & meal vouchers Further training & development opportunities Modern workplace , a dedicated team More ❯

multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong More ❯

GitLab and testing tools/frameworks such as SonarQube, xUnit, Postman, Cucumber, Polaris, Blackduck. • Strong hands-on experience in any one or more cloud technologies such as Azure/GCP/AWS. • Strong knowledge in data structures, algorithms, design patterns & Clean architecture principles • Strong knowledge in design principles/methodologies such as SOLID, 12 Factor App, TDD, BDD, Agile Scrum More ❯

ability to clearly articulate to small and large audiences English and French Speaking Language Required PREFERRED QUALIFICATIONS PREFERRED QUALIFICATIONS Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. Programming or scripting skills in Java, Python, PowerShell, Perl, Ruby, C#, or PHP a plus but not a requirement Previous experience as a Software Engineer, Operations Engineer, Infrastructure More ❯

developer tools, platforms, or portals, such as Backstage. Proficiency in web development with React, TypeScript and Node and experience with Bash and Python. Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). In Return: We will provide the training More ❯

or Master's degree in Computer Science, Software Engineering, or a related field Proven industry experience with Kubernetes and Docker Hands-on experience managing infrastructure in AWS, Azure, or GCP Strong understanding of event streaming and messaging queues such as Kafka Expertise in database systems including Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs using a backend framework (such More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level of accountability and More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level of accountability and More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus AI literacy and curiosity - Gen AI interest in or outside of a work setting. B.S. or M.S. degree in Computer More ❯

Required skills/expertise: Strong command of Go Experience with building services on top of Kubernetes Experience with building services on at least two major cloud providers (e.g. AWS, GCP, Azure) Experience with on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated proficiency in programming languages, such More ❯

with backend, frontend and mobile development with Node, React/React Native and PHP Experience with project management tools such as Jira or Linear Experience with cloud computing (AWS, GCP or Azure) Experience with designing and implementing service-orientated, event-driven architectures and systems Have experience with building, running and scaling containerised applications, container orchestration platforms such as Kubernetes and More ❯

or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least More ❯

compute solutions at scale. infrastructure-as-code (e.g., CloudFormation, Terraform). Knowledge of programming languages such as Java or Python. Deep understanding of AWS or other cloud providers (e.g. GCP, Azure). Strong understanding of key security technologies and protocols such as TLS, OAuth and SPIFFE. Observability, alerting, metrics collection and visualisation (e.g. Prometheus, Grafana, Elasticsearch, Dynatrace). "Nice To More ❯

technologies form the foundation of our platform. While expertise in all areas is not required, experience with them is a plus: Java, primary language for our backend codebase AWS & GCP - we're cloud-native Kubernetes (EKS) Microservice based architecture RESTful APIs PostgreSQL, JDBI, Flyway TeamCity for CI/CD Terraform and Grafana The Team: The Core Banking group is seeking More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

ecosystem. Experience developing and deploying JavaScript web applications in high-traffic environments. Proven track record of delivering software features into production. Familiarity with at least one cloud platform: AWS, GCP, or Azure. Solid understanding of the Software Development Life Cycle and Agile methodologies (e.g., Kanban, Scrum). Knowledge of backend integration using REST APIs, WebSockets, or GraphQL, with appropriate data More ❯

trunk-based development, automated testing at all levels and infrastructure-as-code. An awareness and curiosity about application design and architecture patterns Worked in a cloud native environment like GCP or AWS with Kubernetes Are you looking for a fulfilling career with attractive perks and a supportive work environment? Look no further! We're excited to offer an incredible opportunity More ❯