11 of 11 Cloud Functions Jobs in the UK

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 ❯

3days) Role We are seeking a skilled and motivated GCP Cloud Developer with hands-on experience designing and implementing scalable cloud-based solutions using Google Cloud Platform (GCP). The ideal candidate will have a solid background in developing serverless applications, managing cloud storage and databases, and integrating with APIs using Apigee. … Experience with Excel-based automation tools and version control systems like Azure DevOps is a strong plus. Your Responsibilities Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL … . Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate and manage APIs through Apigee API Management. Work with Excel VBA macros and offline tools for automation tasks. Maintain source code repositories and CI/CD pipelines using Git More ❯

you’ll shape data strategy, lead analytics delivery, and work with global-scale datasets, all while being fully remote. From Google, Meta, TikTok, and Amazon, through to advanced cloud infrastructure (BigQuery, Cloud Functions, Cloud Run), you’ll be building, optimising, and leading analytics across a variety of cutting-edge ecosystems. This is More ❯

you’ll shape data strategy, lead analytics delivery, and work with global-scale datasets, all while being fully remote. From Google, Meta, TikTok, and Amazon, through to advanced cloud infrastructure (BigQuery, Cloud Functions, Cloud Run), you’ll be building, optimising, and leading analytics across a variety of cutting-edge ecosystems. This is More ❯

grade infrastructure that becomes the backbone of our AI-native SaaS product. Your mission is to turn complex business requirements into scalable data solutions, from sophisticated multi-tenant cloud architectures and robust ELT pipelines to observable workflows that power our AI systems. Partnering closely with product and AI engineering teams, you will own the full lifecycle of the … working hands-on as part of a small, high-performing team. Key Responsibilities Data Platform Architecture and Engineering Architect and implement a secure, multi-tenant data platform using cloud technologies to support SaaS delivery models Design and build scalable ETL/ELT pipelines integrating diverse sources including e-commerce platforms, CRM systems, marketing tools, and APIs Optimize data … covering SLA monitoring, usage metering, and compliance adherence Collaboration and Leadership Collaborate with Data Analysts, Data Scientists, AI Engineers, and Business Stakeholders to translate product requirements into scalable cloud-based solutions Mentor data engineers and future team members as the organization grows Proactively troubleshoot and resolve platform issues, implementing root-cause analysis and continuous improvement processes Stay current 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 ❯

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 ❯

to development best practices. Collaborate with cross-functional teams to gather requirements and implement scalable software systems and applications. Contribute to the design and optimization of microservices and cloud-based system architectures. Prototype and implement new features to enhance our financial technology platform. Participate in on-call rotations as level 1 support engineer for our data platform services. … required 3+ years of professional development experience with a multi-person engineering team, leveraging modern practices like code reviews, CI/CD, and trunk-based development. Experience in cloud ecosystems, particularly Google Cloud Platform services like BigQuery, Pub/Sub, or Cloud Functions. Required Skills/Abilities Proficiency in software development using modern programming More ❯