51 to 75 of 1,229 Google-Cloud-Platform Jobs

the ability to obtain Secret Security Clearance required. Preferred Skills (Bonus) Internship or capstone project experience in a tech-related field Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of version control systems (Git) Interest in cybersecurity, DevOps, or data engineering What We Offer A great, collaborative working environment and mentorship Competitive salary and benefits Professional development and More ❯

Databricks, etc.). Strong background in statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. Strong problem-solving, communication, and business acumen skills. Experience in telematics, mobility, insurance, or IoT industries. Knowledge of More ❯

promote team growth What youll bring Proficiency in C#, .NET, JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high More ❯

developing, and deploying high-performance backend microservices while contributing to front-end feature enhancements. You will be responsible for implementing Java 17-based applications , setting up DevOps pipelines on GCP , and collaborating closely with architects and product owners to deliver reliable, production-grade systems. This is a 6-month contract role based in Leeds, UK , with a strong possibility of … . Key Responsibilities: Design, develop, and deploy scalable backend microservices using Java 17 and Spring Boot . Configure and maintain DevOps pipelines on Google Cloud Platform (GCP) to support the credit decisioning engine. Build and enhance automated testing frameworks ensuring resilient, high-quality software delivery. Collaborate with cross-functional Agile teams to deliver backend and frontend features … Backend Development: 8–15 years of experience with Java, Spring Boot , and microservices architecture . Java 17: Hands-on experience is mandatory . DevOps & Cloud: Proven experience with GCP , AWS , or Azure , and familiarity with CI/CD pipelines . API Development: Expertise in RESTful API design and development. Frontend: Working knowledge of ReactJS or Angular . Testing: Strong More ❯

systems. Proficiency in scripting languages such as Python, Go, or Java. Strong knowledge of container orchestration technologies like Kubernetes and Docker. Expertise with cloud platforms such as AWS, GCP, or Azure, and their respective monitoring and management tools. Experience with infrastructure as code tools such as Terraform or Ansible. Familiarity with CI/CD tools such as Jenkins, GitLab More ❯

Python Experience with RESTful APIs, OOP and other standard concepts and approaches Experience with databases (PostgreSQL, ORM frameworks, MongoDB) and memory stores (Redis) Experience with cloud computing services (GCP, AWS and/or Azure) Experience with Docker, Kubernetes and related tooling such as Helm Desirable: experience with networking, load balancing, firewalls and related concepts in Cloud environments Desirable More ❯

orchestrating platform and Kubernetes operator patterns Exposure to Hashicorp Vault for secret management TECH STACK Here are a few of the tools and methodologies we utilise: Infrastructure: AWS, GCP, Azure, Kubernetes Platform: CockroachDB, NATS, Vault, Cloud HSMs, cert-manager Tools: Terraform, GitHub, Prometheus, Tilt Code: Go (and a little Java), containerised microservices, CQRS, open-source Ways of More ❯

ways for our people to work, learn, and thrive. What you'll need Proven experience in SRE, DevOps, or Cloud Engineering roles. Strong knowledge of Cloud platforms: GCP (preferred), AWS or Azure. Proficiency in Terraform, Docker, Kubernetes, and CI/CD tools (e.g., Jenkins, Harness). Experience with observability tools and distributed tracing. Solid understanding of cloud More ❯

developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP). Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML). Proficiency with containerization technologies (Docker, Kubernetes) and CI/ More ❯

similar role in a cloud-native environment Expert-level proficiency in AWS services (EC2, S3, RDS, VPC, Lambda, IAM, CloudWatch, etc.). Solid understanding and working knowledge of GCP, Digital Ocean, and Azure concepts and services Expertise in Terraform for multi-cloud infrastructure provisioning and management, including experience with state management, modules, and workspaces Highly skilled in using More ❯

similar role in a cloud-native environment Expert-level proficiency in AWS services (EC2, S3, RDS, VPC, Lambda, IAM, CloudWatch, etc.). Solid understanding and working knowledge of GCP, Digital Ocean, and Azure concepts and services Expertise in Terraform for multi-cloud infrastructure provisioning and management, including experience with state management, modules, and workspaces Highly skilled in using More ❯

are a plus. Proficiency in at least one ML framework, such as scikit-learn, XGBoost, Tensorflow, or PyTorch. Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure. Experience in designing, and deploying ML pipelines in production environments; knowledge of Kubeflow Pipelines is a plus. Good understanding of ML principles More ❯

environment What You Bring: Experience in the migration of VM Technologies into a Kubernetes Environment 5+ years of production support preferably in a Cloud Environment (AWS, Azure or GCP) Degree in Computer Science or equivalent work experience Extremely logical with the ability to solve problems in creative and efficient ways Knowledge/Experience in the following areas Containerization with More ❯

and Governance Knowledge: Hands-on experience with Azure services (ADLS Gen2, Event Hubs, Key Vault, Purview) and governance tools for data quality, lineage and compliance; awareness of AWS/GCP is a plus. Expertise in Engineering Best Practices: Skilled in CI/CD, infrastructure-as-code and automation using Azure DevOps; experienced in setting coding standards, reviewing designs and embedding More ❯

modern software delivery best practices Deep technical expertise in modern software development practices and architectures; including cloud native architecture, microservices, and secure software design Experience with AWS/GCP/Azure, Kubernetes, CI/CD pipelines Experience with modern web technologies and languages is essential: React/Angular/.Net Core/Java/Python; experience with Rust is More ❯

from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates sites 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 ❯

performance optimization. Hands on experience with CI/CD pipelines, automated testing, and monitoring tools. Strong knowledge of REST/gRPC APIs, message brokers, and databases. Proficiency with AWS, GCP, or Azure and container orchestration (Docker, Kubernetes). Solid grasp of system design principles, scalability, and performance optimization. Excellent communication skills and collaborative mindset. Experience mentoring engineers and establishing engineering 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 ❯

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 ❯

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 ❯

of a high-performing software engineering team. Strong background in functional and object-oriented programming. Experience building and maintaining REST APIs. Hands on experience with cloud platforms (AWS, GCP, or Azure). Familiarity with Kubernetes, Docker, and containerized applications. Proficiency in working with event-driven architectures (Kafka preferred). Solid understanding of CI/CD, GitOps, and agile development 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 ❯

based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns Kubernetes Knowledge/Certification in Spring framework. Experience in cloud technologies AWS/Azure/GCP More ❯

Experienced Leader: 10+ years in software engineering, with at least 5 years in leadership roles overseeing multiple teams. Technical Visionary: Strong knowledge of cloud architectures (Azure, AWS or GCP), microservices, API development, and modern development frameworks. Agile & DevOps Practitioner: Experience in Agile environments with CI/CD pipelines and automation. Security & Compliance Savvy: Understanding of regulatory and compliance requirements More ❯