1,076 to 1,100 of 2,268 Permanent Google-Cloud-Platform Jobs

career. You are a fantastic IC who thrives on solving tough problems. Significant experience with Python . A background in a cloud-focused organization with exposure to AWS, GCP, or Azure. A desire to work collaboratively in a team and an ability to communicate effectively with both technical and business stakeholders. Nice to Have: Experience with Vue, Nuxt, React More ❯

career. You are a fantastic IC who thrives on solving tough problems. Significant experience with Python . A background in a cloud-focused organization with exposure to AWS, GCP, or Azure. A desire to work collaboratively in a team and an ability to communicate effectively with both technical and business stakeholders. Nice to Have: Experience with Vue, Nuxt, React More ❯

solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data More ❯

solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data More ❯

enterprise-wide AI and automation enablement. About You Proven track record in AI/automation architecture, enterprise integration, or data engineering. Deep expertise in cloud platforms (AWS, Azure, GCP) and associated data/AI services. Strong hands-on experience in building APIs, event-driven systems, and microservices. Familiarity with orchestration platforms (e.g., MCPs), LLMs, and AI agent connectivity. Strong More ❯

enterprise-wide AI and automation enablement. About You Proven track record in AI/automation architecture, enterprise integration, or data engineering. Deep expertise in cloud platforms (AWS, Azure, GCP) and associated data/AI services. Strong hands-on experience in building APIs, event-driven systems, and microservices. Familiarity with orchestration platforms (e.g., MCPs), LLMs, and AI agent connectivity. Strong More ❯

technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you to architect More ❯

/NestJS (must-have) Frontend: React/Angular (either is fine) Python: Not day-to-day, but strong understanding needed to oversee ML/data science function Cloud: GCP stack (AWS or Azure acceptable) Full-stack preferred, backend-leaning also welcome You’ll Excel If You Have: Previous startup leadership experience (founder, founding/early hire, or consultant) Experience More ❯

technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you to architect More ❯

/NestJS (must-have) Frontend: React/Angular (either is fine) Python: Not day-to-day, but strong understanding needed to oversee ML/data science function Cloud: GCP stack (AWS or Azure acceptable) Full-stack preferred, backend-leaning also welcome You'll Excel If You Have: Previous startup leadership experience (founder, founding/early hire, or consultant) Experience More ❯

technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you to architect More ❯

Build senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ years of More ❯

Build senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ years of More ❯

Familiarity with key security frameworks such as NIST, ISO 27001, TOGAF, SABSA . Current certifications such as CISSP, CISM, or equivalent . Experience with cloud environments (Azure, AWS, GCP) and DevSecOps for AI pipelines. Strong understanding of data privacy and AI governance standards. Excellent communication and stakeholder engagement skills, from technical teams to C-suite. Ability to obtain UK More ❯

Familiarity with key security frameworks such as NIST, ISO 27001, TOGAF, SABSA . Current certifications such as CISSP, CISM, or equivalent . Experience with cloud environments (Azure, AWS, GCP) and DevSecOps for AI pipelines. Strong understanding of data privacy and AI governance standards. Excellent communication and stakeholder engagement skills, from technical teams to C-suite. Ability to obtain UK More ❯

Accelerate, FSDP) Strong programming skills in Python, with expertise in machine learning frameworks like TensorFlow or PyTorch Experience with orchestration platforms Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services Familiarity with MLOps platforms (e.g. MLflow, Weights & Biases) Strong understanding of software engineering best practices, including version control, testing, and documentation Preferred qualifications: Familiarity More ❯

to embed IAM best practices into CI/CD pipelines, automating identity governance and access controls. Define and enforce security and identity policies across cloud platforms. (AWS, Azure, GCP) Document system configurations, standards, and procedures in a centralized location. Support Incident Response on security incidents globally, including contributing to table-top security incident exercises. Advise project teams, application owners More ❯

to embed IAM best practices into CI/CD pipelines, automating identity governance and access controls. Define and enforce security and identity policies across cloud platforms. (AWS, Azure, GCP) Document system configurations, standards, and procedures in a centralized location. Support Incident Response on security incidents globally, including contributing to table-top security incident exercises. Advise project teams, application owners More ❯

Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ? Ability to work cross-functionally with marketing, CRM, and engineering teams. ? Excellent More ❯

advancing strategic goals across the UK banking landscape. Role Overview: This individual will be an expert in selling Analytics and Data Consulting Professional Services aligned to the Azure, AWS, GCP, and Snowflake technology stack . They will have a proven background working for a Consultancy or Global System Integrator (GSI) and a consistent recent track record of generating £3m–£6m More ❯

coached technical teams. Mathematical depth — clear understanding of the theory behind ML algorithms. Practical knowledge of tools like FastAPI, MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification More ❯

Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience More ❯

and real-time infrastructure. Collaborate across teams to deploy and optimize microservices. Requirements Proven experience with Elixir (3+ years) Familiar with PostgreSQL , Kafka/RabbitMQ , Docker , and AWS/GCP . Great communicator who thrives in collaborative hybrid teams. More ❯

and real-time infrastructure. Collaborate across teams to deploy and optimize microservices. Requirements Proven experience with Elixir (3+ years) Familiar with PostgreSQL , Kafka/RabbitMQ , Docker , and AWS/GCP . Great communicator who thrives in collaborative hybrid teams. More ❯

alongside the Lead Frontend Engineer & Head of Tech. Stack: Must have: Go | REST APIs | gRPC Microservices | DynamoDB | MySQL | Agile A big plus! Docker | Kubernetes | React | CI/CD | AWS & GCP What you'll do: Tech Leadership Lead a high-impact project end-to-end Set the bar for coding standards and architecture Mentor and grow a talented team Influence tech More ❯