6 of 6 Permanent Cloud Functions Jobs in the UK excluding London

GCP Cloud Developer Start: ASAP Duration: 6-12 months Location: hybrid, 3-days p/week in Warwick Pay: Inside IR35, paying up … to £475/day We're seeking a skilled GCP Cloud Developer to design and implement scalable, serverless applications and cloud-native solutions on Google Cloud Platform. The role includes building APIs via Apigee, working with Cloud Functions, Dataflow, Cloud SQL, and automating tasks with Excel VBA. Experience … with CI/CD pipelines and Azure DevOps is also valued. Key Responsibilities: - Develop serverless applications using Cloud Functions (Python or Node.js) - Build and optimise data pipelines with Cloud Dataflow - Manage relational databases via Cloud SQL (PostgreSQL/MySQL) - Implement workflows using GCS triggers and IAM permissions - Integrate APIs using Apigee - Create More ❯

GCP Cloud Developer Start: ASAP Duration: 6-12 months Location: hybrid, 3-days p/week in Warwick Pay: Inside IR35, paying up … to £475/day We're seeking a skilled GCP Cloud Developer to design and implement scalable, serverless applications and cloud-native solutions on Google Cloud Platform. The role includes building APIs via Apigee, working with Cloud Functions, Dataflow, Cloud SQL, and automating tasks with Excel VBA. Experience … with CI/CD pipelines and Azure DevOps is also valued. Key Responsibilities: - Develop serverless applications using Cloud Functions (Python or Node.js) - Build and optimise data pipelines with Cloud Dataflow - Manage relational databases via Cloud SQL (PostgreSQL/MySQL) - Implement workflows using GCS triggers and IAM permissions - Integrate APIs using Apigee - Create More ❯

GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/Hybrid Salary: Flexible, Dependant … We’re looking for a GCP DevOps Engineer to join our growing engineering team and play a key role in designing, deploying, and maintaining mission-critical systems on Google Cloud Platform (GCP). For clarity, you must be working on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure … with Developers, SREs, and Architects to deliver robust solutions. Driving cost optimisation and best practices across the GCP estate. What We’re Looking For: Hands-on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯