226 to 250 of 1,260 Permanent Google-Cloud-Platform Jobs

in designing and building enterprise-grade systems in the cloud, with a focus on integrating AI services Proficiency in cloud architectures, particularly AWS, Azure, or Google Cloud Platform Knowledge of AI and machine learning concepts, with the ability to apply these technologies to solve complex problems within the justice domain Familiarity with security best practices More ❯

Comfortable working with modern development tools, CI/CD pipelines, and version control. Exposure to at least one of the following would be beneficial: Cloud-based infrastructure (AWS, GCP, or Azure) Infrastructure-as-Code tools (e.g. Pulumi, Terraform, or similar) Mobile app development (React Native, Flutter, etc.) Video streaming or real-time data processing What's on Offer Equity More ❯

Software Development 5+ years in Frontend or Web Developmentwith a strong focus on modern JavaScript frameworks (React, Vue, or Angular) Required: React, Typescript, DeckGL, NodeJS, Postgres Desired: Google Cloud Platform What We Offer Competitive salary and comprehensive benefits package. A vibrant and supportive work environment. Opportunities for professional development and career growth. Access to the latest tools More ❯

tackling innovative R&D challenges that directly impact customers. Our Technology Stack: Python Agentic tools (Autogen, Semantic Kernel, LangChain) SQL MongoDB Third-party LLM APIs LiteLLM MLflow Google Cloud Platform Docker PyTorch Hugging Face Transformers SPARQL Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Strategic AI Leadership Define and implement the company's AI and data science More ❯

control software Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in data structure and algorithm design and implementation Proficiency in time-series data analysis, cleansing, and normalization Working knowledge of Agile More ❯

attributes across the Finance systems landscape. Experience of working with existing finance logical data model from package vendors (e.g. Teradata and IBM) and new cloud technologies such as GCP, AWS and Azure. Understanding of the current technology and data challenges and trends in Financial Services industry. Excellent communication and presentation skills. Demonstrated experience leading teams and leading medium to More ❯

document oriented) databases Commercial experience designing and building CI/CD, CDNs, RESTful APIs Strong experience writing easily testable code (e.g. using dependency injection) Experience in cloud technologies (GCP preferred), IaC (e.g. Terraform), containers, container orchestration (e.g. Kubernetes), virtualisation and web servers Experience building software that scale Ability to share knowledge and mentor other team member s Benefits More ❯

well as improving existing ones Maintaining micro-services using TypeScript and Node.js Managing databases with Postgres Handling asynchronous messaging with RabbitMQ Running and optimising our infrastructure on Google Cloud Platform Managing and enhancing our CI/CD pipelines with CircleCI and GitHub Actions Transforming a complex architecture into a streamlined system Developing our web application using React More ❯

Agile environment Experience mentoring more junior colleagues and contributing to building high-performing teams DESIRED: Knowledge about native mobile app development Using MacOS as a build environment Google Cloud Platform administration including Firebase Python CI/CD using GitHub Actions Before your start date, you may need to disclose any unspent convictions or police charges, in line More ❯

PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

make a real impact - this could be the perfect team for you! Key skills: Strong Java programming with RESTful API development Spring Boot framework experience Cloud based technologies, GCP preferred (Azure or AWS welcome) Build and deploy containerized applications with Docker and Kubernetes CI/CD tools (GitHub Actions, Jenkins, or Harness) Agile methodologies (TDD/DDD) Automated testing More ❯

Design, implement, and manage enterprise systems including networks, storage, databases, Exchange/Microsoft 365, Entra ID, authentication and mobility solutions. Administer and support cloud-based platforms (Azure, AWS, GCP) and on-prem infrastructure. Deliver expert-level support for escalated incidents and mentor junior engineers. Implement and maintain container platforms (Docker, Kubernetes) and automation frameworks (Terraform, Ansible, CI/CD More ❯

similar. Experience building AI-enabled web applications and APIs. Hands-on experience with collaboration platforms (SharePoint, Confluence, custom-built portals, etc.). Proficiency with cloud environments (AWS, Azure, GCP) and related DevOps pipelines. Understanding of data security, identity management, and compliance in government or regulated environments. Preferred Qualifications Experience with FAR-based government contracting tools or proposal evaluation systems. More ❯

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 More ❯

and analysis of NCCL and DL applications on groundbreaking GPU clusters Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters Document and conduct trainings/webinars for NCCL Engage with More ❯

Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms. • Deep understanding of cloud infrastructure services (AWS, Azure, GCP). • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes). • Knowledge of the machine learning model lifecycle, including drift detection and automated retraining. • Familiarity with information More ❯

Excel, Word, Project, Visio) and SharePoint Excellent verbal and written communication skills These Qualifications Would Be Nice To Have: Experience with ServiceNow Experience with cloud platforms (AWS, Azure, GCP) Knowledge of DevOps practices and tools Familiarity with database administration Acts independently to expose and resolve problems Clearance Applicants selected will be subject to a security investigation and may need More ❯

Strong backend development skills in Python, Node.js, or a similar language (this is mandatory). Proven experience with API consumption, authentication, and integration. Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services. Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex More ❯

built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Ability to lead projects, scope work, and deliver solutions at pace (for Senior) Excellent communication More ❯

service management. Excellent problem-solving, analytical, and communication skills. Ability to work in a fast-paced, mission-critical healthcare environment. Preferred Skills Experience with cloud platforms (AWS, Azure, GCP). Knowledge of HIPAA compliance, healthcare data security, and PHI handling. Exposure to DevOps tools (Git, Jenkins, Docker, Kubernetes). Prior experience with ITIL or ITSM processes (incident, problem, change More ❯

business. Essential Skills Strong backend development skills in Python, Node.js, or a similar language Proven experience with API consumption, authentication, and integration . Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services . Solid understanding of software engineering practices : version control, testing, CI/CD, monitoring. Experience translating business needs into More ❯

privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have) Front ends (for internal tools) : Streamlit/Gradio/ More ❯

managing hybrid teams through all stages of data science project development, from exploration to deployment. Experience with big data technologies such as Hadoop, Spark, and cloud platforms (AWS, GCP, Azure) is a plus. Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn. Intermediate project management experience, with the ability to prioritize and manage competing demands. Advanced More ❯