276 to 300 of 1,370 Permanent Google-Cloud-Platform Jobs

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 ❯

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 ❯

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 ❯

practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques 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 ❯

integration, and scaling. Experience deploying and serving LLMs with frameworks such as vLLM, Triton Inference Server, or Hugging Face TGI . Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Knowledge of MLOps/LLMOps practices , including CI/CD pipelines, monitoring, logging, and autoscaling. Understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and RAG More ❯

You'll be responsible for securing cloud infrastructure, managing identity and access, and implementing security best practices across Google Workspace and Google Cloud Platform (GCP). Minimum Qualifications Active Secret Security Clearance or ability to obtain one (Top Secret preferred). Ability to work onsite in Washington, DC, five days … per week. 5+ years of experience in cybersecurity engineering, cloud security, or IT security. Hands-on experience with: Google Admin Console, Security Center, Google Vault, Cloud Identity GCP services: Compute Engine, VPC, IAM, GKE, BigQuery Proficiency with infrastructure-as-code tools: Terraform, Ansible, Deployment Manager. Familiarity with CI/CD tools: GitLab CI, Jenkins, Cloud … Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience working in Agile/Scrum environments. Preferred Qualifications Certifications such as: GCP Professional Cloud Architect GCP DevOps Engineer Google Cloud Security Engineer CISSP, CISM, CCSP Familiarity with additional cloud security tools beyond Google Workspace and Netskope. Experience with security frameworks More ❯

and prepare data for use in their advanced analytical models. Additional Requirements: Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions. Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or More ❯

and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll 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 ❯

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 ❯

IAM, endpoint security, and data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Preferred Qualifications: Certifications such More ❯

Solutions Architect Expert or equivalent 8+ years of experience into Cloud Administration Level 4 (5+ years) cloud engineering experience Excellent communication, collaboration, and leadership skills AWS and GCP Architect Certifications are also preferredResponsibilitiesThis person will have experience in and be responsible for the following: Lead the design, implementation, and optimization of cloud architecture solutions primarily using Azure. More ❯