226 to 250 of 1,854 Permanent GCP Jobs

Experience with containerized environments (e.g., Docker, Kubernetes). Exposure to various messaging platforms. Understanding of DevOps methodologies and CI/CD pipelines. Knowledge of cloud environments (e.g., AWS, Azure, GCP) and cloud-native deployments. Why Join Us? Be part of a mission-critical team enabling real-time data flows. Work with cutting-edge technologies and contribute to high-impact projects. More ❯

Experience with containerized environments (e.g., Docker, Kubernetes). Exposure to various messaging platforms. Understanding of DevOps methodologies and CI/CD pipelines. Knowledge of cloud environments (e.g., AWS, Azure, GCP) and cloud-native deployments. Why Join Us? Be part of a mission-critical team enabling real-time data flows. Work with cutting-edge technologies and contribute to high-impact projects. More ❯

infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models More ❯

pg_stat_statements, Prometheus, Grafana). • Knowledge of scripting languages for automation and tooling. Preferred Qualifications: • Experience with containerized environments (Docker, Kubernetes). • Familiarity with cloud platforms (AWS RDS, GCP Cloud SQL, or Azure Database for PostgreSQL). • Understanding of CI/CD pipelines and infrastructure as code (Terraform, Ansible). • Exposure to other RDBMS (e.g., Oracle, MySQL) or NoSQL More ❯

Angular. Hands-on experience building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services. Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD pipelines. Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS). Excellent communication skills and cross-functional collaboration experience. Benefits: Our team More ❯

broker management, scaling, upgrades, and integration with high-throughput data pipelines. Experience managing PostgreSQL databases, including load analysis, query optimisation, and role management. Experience with modern cloud infrastructure as GCP/AWS, Kubernetes, and Docker Proficiency in Unix systems, ideally Linux (we use Ubuntu). Strong communication skills, with experience mentoring engineers and collaborating with stakeholders. Proven ability to resolve More ❯

/Spring Boot, TypeScript/React/Angular, Golang, or Python • Proven track record of delivering scalable and maintainable solutions • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Solid understanding of CI/CD pipelines, Git, and secure software development • Ability to navigate complex systems and communicate technical concepts clearly • Leadership experience and ability to influence team and More ❯

with InfoSec to integrate compliance and security scanning tools (e.g., SAST, DAST, SCA) into build pipelines. • Implement and monitor security controls and configurations in cloud platforms (AWS, Azure, or GCP). • Conduct vulnerability assessments and assist in remediation strategies. • Provide documentation and knowledge transfer to operations and development teams. • Collaborate with development teams on secure coding practices, especially in Node.js More ❯

Charles, Proxyman CI tools like Bitrise, Gitlab CI Application security knowledge Experience working with Android teams, website, or microservices Knowledge of GraphQL, microservice architectures, Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), UX principles, web technologies, Java/Kotlin Additional Information Application involves online assessment, CV upload, and questions. More info at Next steps include a screening call, tech assessment, and More ❯

experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics More ❯

experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics More ❯

experience of these would be really useful Scripting or Automation - Basic knowledge of Bash or Python to automate routine tasks Cloud support knowledge - Understanding of cloud environments like OCP, GCP, Azure, AWS as well as Private Cloud solutions Soft skills & Emotional Intelligence - Staying clam under pressure and effectively handling stressful situations whilst continuing to communicate effectively Observability - Familiarity with monitoring More ❯

and drivers. Experience with Git for version control. Hands-on experience with CI tools such as Jenkins or Harness. Experience packaging and deploying containers using Docker, K8S, AWS/GCP/OpenShift Experience with ALM, Zephyr, Jira, Confluence, Jenkins, Docker Strong analytical and troubleshooting skills. Excellent verbal and written communication skills. Why Join Citi? Citi is a global leader in More ❯

dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional More ❯

a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python More ❯

low-level Linux issues, utilizing the command line, and shell scripting (bash) Strong fundamentals in data structures, design patterns, and algorithms Experience working with public clouds (e.g., AWS, Azure, GCP) Experience working with Docker and Kubernetes Understanding of authentication and authorization frameworks/standards (e.g., OAuth) Familiarity with hypervisors (e.g., VMWare, Hyper-V, VirtualBox, KVM) is a plus Familiarity with More ❯

databases , and Git . A knack for responsive design and mobile-first development. A mindset that blends innovation, curiosity, and precision . Bonus Points For: Cloud wizardry (AWS, Azure, GCP) Knowledge of AI tools (OpenAI, Document Intelligence) Experience with CI/CD pipelines and modern DevOps practices Security know-how (OWASP, data protection) Agile team experience - or just loving the More ❯

full-stack web development (React, Vue, or Angular; Node.js, Django, or similar) Strong understanding of REST APIs and relational (eg. Postgres) databases. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Excellent communication skills and a proactive, problem-solving mindset Have built web applications that include auth, internal and external APIs and scalable architecture A proactive and More ❯

with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure ML, Vertex AI) Knowledge of MLOps tools including Docker, MLflow, Kubeflow, or similar platforms Experience with version control (Git) and collaborative development More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

back-end technologies such as Node.js, Python, Java, Ruby, or .NET Solid understanding of RESTful APIs, microservices, and database design (SQL and NoSQL) Experience with cloud platforms (AWS, Azure, GCP) Proficient with Git and modern CI/CD tools Development experience using Delphi/Object Pascal and Windows VCL Damia Group Limited acts as an employment agency for permanent recruitment More ❯

end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring, Express (NodeJS) Prior working experience in a cloud computing environment like AWS/GCP is highly desired. Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area. Team/Leadership Qualifications More ❯

by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility More ❯

by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility More ❯