51 to 75 of 1,094 Google-Cloud-Platform Jobs

communication of technical concepts to non-technical audiences Assessing applications for migration to the cloud, based on technical suitability Technical skills: Cloud platforms (AWS/Azure/GCP) Container technologies (e.g., Docker, Kubernetes) Infrastructure as code (Terraform, CloudFormation) Cloud automation and CI/CD DevOps practices and toolchains Linux and Windows system management with automation frameworks like More ❯

) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 2+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices At this time More ❯

distributed teams and collaborating across multiple time zones. Advantageous experience Experience with Java and familiarity with the JVM ecosystem; Spring Boot exposure. Cloud experience with AWS, Azure or GCP; infrastructure-as-code (e.g., Terraform, Helm) and secure configuration management. Performance profiling and tuning in .NET (e.g., dotnet-trace, PerfView) and/or JVM environments. Hands-on experience working with More ❯

For Good expertise in Java and JVM-based systems (3+ years coding experience preferred) Solid background in system design, distributed systems, and cloud architectures (AWS/Azure/GCP) Passion for clean code, testing, and performance optimization Excellent communication, leadership, and decision-making skills A mindset for innovation, problem-solving, and continuous improvement Bonus Points For Experience in microservices More ❯

data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and More ❯

through to scalable production deployment. Preferred Qualifications and Experience Residence in Eastern time zone preferred. Familiarity with containerization technologies like Docker . Familiarity with enterprise cloud architectures (AWS, GCP, or Azure). Understanding of MLOps principles (model versioning, monitoring, data drift). Experience with advanced data visualization techniques to represent complex AI results. Benefits Work with Experts: Robust internal More ❯

knowledge of GraphQL federation is a plus. Strong background in observability, monitoring, and tracing , with Prometheus/Grafana/ELK or equivalent. Familiarity with cloud agnostic deployments (AWS, GCP, or Azure) and cost/performance trade offs. Excellent technical leadership, communication, and documentation skills in English (upper intermediate or higher). What We Offer Competitive salary that matches your More ❯

and SAP HANA Cloud. - Apply understanding of SAP Clean Core extensibility (side-by-side and in-app extensions). - Integrate SAP solutions with public cloud platforms (AWS, Azure, GCP). - Develop and extend ABAP, especially on SAP BTP (Steampunk). - Build and integrate SAP Fiori/UI5 applications with backend systems via OData and REST APIs. - Develop using the More ❯

practices including CI/CD pipelines and infrastructure automation. Required Skills TypeScript/Node.js REST APIs (Express, Nest.js, or similar frameworks) Unit testing (Jest or equivalent) Cloud computing (GCP preferred; AWS or Azure experience also valuable) Infrastructure as Code (Terraform or similar) Docker and Compose Continuous Integration tools and environments Experience in a Continuous Delivery/Deployment setup Strong More ❯

Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK More ❯

Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK More ❯

effectively. Familiarity with distributed systems concepts such as event sourcing, resilience patterns, and asynchronous communication. Experience with containerised development (Docker) and deploying cloud-native applications (Azure, AWS, or GCP). Strong understanding of DevOps concepts: CI/CD pipelines, automated testing, infrastructure-as-code patterns. Proficiency in unit, integration, and end-to-end testing using modern TypeScript testing tools. More ❯

programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT More ❯

or Vue.js. Extensive experience with back-end technologies such as Node.js, Java, Python, or .NET. Deep understanding of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP Expertise in database design and management (SQL, NoSQL, or both Experience with version control systems such as Git and collaborative development workflows. Strong problem-solving skills and ability to troubleshoot More ❯

the platforms (Adyen, PayPal, Klarna, etc.) that support them Deep understanding of payment industry standards (ISO 8583, ISO 20022, EMV, PCI DSS) Experience with cloud platforms (AWS, Azure, GCP) and payment-specific services Proficiency in microservices architecture, event-driven systems, and API design Knowledge of programming languages: .NET, python or similar enterprise languages Experience with databases: SQL, NoSQL, and More ❯

the platforms (Adyen, PayPal, Klarna, etc.) that support them Deep understanding of payment industry standards (ISO 8583, ISO 20022, EMV, PCI DSS) Experience with cloud platforms (AWS, Azure, GCP) and payment-specific services Proficiency in microservices architecture, event-driven systems, and API design Knowledge of programming languages: .NET, python or similar enterprise languages Experience with databases: SQL, NoSQL, and More ❯

to Kubernetes, containerised environments, and Helm-based deployments. Understanding of CI/CD pipelines (GitLab CI) and infrastructure-as-code workflows. Experience working in cloud-native environments (AWS, GCP, or Azure) and awareness of security-first design. Comfort working with financial datasets, trade logs, or analytics dashboards. Experience handling sensitive or regulated data, ideally in financial or crypto contexts. More ❯

multi-GPU and multi-node training setups. - Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and their GPU dependencies. - Exposure to cloud-based GPU infrastructure (AWS, Azure, GCP). More ❯

native applications, and microservices. Deep understanding of service mesh technologies such as Istio, Linkerd, or other Envoy-based service meshes. Hands-on experience with cloud providers such as GCP or AWS, with expertise in container orchestration using Kubernetes. Enjoys troubleshooting in distributed Linux systems environments and is comfortable tracing issues across applications, systems, and networks. Proven track record of More ❯

and DevOps principles. Is proficient in programming languages like Java, Python, or JavaScript and has experience with REST and SOAP APIs. Has experience with cloud platforms (AWS, Azure, GCP) and understands integration patterns for cloud-native environments. Possesses a strong understanding of data modeling concepts and data transformation techniques (e.g., JSON, XML, XSLT Thrives in a collaborative work More ❯

iterative delivery approaches. You should have: Hands-on experience with Kubernetes and Linux-based platform engineering. Strong scripting and automation capability (Python preferred). Familiarity with AWS, Azure, GCP or secure on-prem cloud equivalents. Solid understanding of networking concepts (routing, DNS, firewalls, service mesh). Experience with Elastic for monitoring, logging and observability. Proficiency with GitLab CI More ❯

an end-to-end pipeline consuming other data products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector If you are available and More ❯

Define and implement DevOps best practices, security standards, and operational documentation. Troubleshoot build failures, deployment issues, and production outages efficiently. Lead cloud infrastructure provisioning and scaling using AWS, GCP, or Azure technologies. Provide leadership, mentorship, and technical guidance to DevOps and development team members. Required Skills and Qualifications 12+ years of overall IT experience with strong hands-on expertise More ❯

and maintain backend applications using Python and Django Integrate APIs and third-party services Work with modern CI/CD pipelines and cloud-based environments (AWS, Azure, or GCP) Participate in code reviews, testing, and technical documentation Collaborate in an Agile environment Skills & Experience: Strong commercial experience with Python and Django Familiarity with RESTful APIs, PostgreSQL Exposure to Docker More ❯

10+ years in engineering roles, with at least 5 years in SRE, Observability, or DevOps functions.Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure More ❯