1 to 25 of 52 GCP Jobs in Edinburgh

Location: Edinburgh Salary: £80,000 - £100,000 Job Type: Permanent The Role We are looking for an experienced Solution Architect - API & GCP to join a growing technology team in Edinburgh. You will play a key role in shaping the architecture and strategic evolution of an API Marketplace platform, working closely … Marketplace platform. Define the strategic technology roadmap alongside product and engineering teams. Design scalable, secure and resilient cloud-native solutions using Google Cloud Platform . Lead API architecture and promote best practices around API design, security, lifecycle management and integration. Provide technical leadership across architecture forums, governance and design reviews. ...

practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance ...

including real production ownership of Kubernetes rather than consuming a cluster someone else runs. Infrastructure as code: Strong Terraform, and production experience on AWS. GCP or Azure alongside it is welcome. Python: Solid enough for real automation and operational tooling, with sound engineering practice around it. Pipelines: Built and maintained ...

Description Solution Architect – API & GCP Edinburgh/Hybrid – 2–3 days per week £85,000–£95,000 + Benefits Permanent We’re working with an excellent brand looking for an experienced Solution Architect with strong expertise across API architecture and Google Cloud Platform (GCP). You’ll play … across API and cloud environments Lead architectural decisions and provide technical direction across complex programmes Design scalable, secure and resilient cloud-native solutions using GCP Define API architecture, integration patterns and technical standards Work closely with Product, Engineering and business stakeholders to shape technology roadmaps Provide technical leadership through architecture ...

with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms (AWS, Azure or GCP CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging, metrics and distributed ...

Python. Experience with Terraform, Harness, Azure DevOps, containers (Docker, Kubernetes). Experience with CI/CD, IaC, and PaaS cloud platforms (Azure and Google Cloud Platform). Previous experience working in financial services organisations. Excellent problem‐solving skills. Cloud and/or security certifications. Experience working within a technical/ ...

Airflow, Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).Strong communication and collaboration skills with a passion for working ...

frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco ...

partner communities.And any experience of this would be really usefulKafka, Quarkus or similar distributed application technologies.Distributed ledger technologies (DLT), blockchain or DAML.Google Cloud Platform (GCP) or other public cloud platforms.React, TypeScript or modern frontend development frameworks.Experience working on globally distributed or high-scale payment platforms.Knowledge of payment processing, digital assets ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build and deploy scalable solutions. Strong communication and collaboration skills, with the ability to explain technical concepts to both engineering teams and non-technical ...

familiar and/or have experience with a majority of these: Hands-on experience configuring one or more public cloud environments (AWS, Azure, GCP).Hands-on experience with CI/CD tooling.Proficiency with infrastructure-as-code, e.g. Terraform.Proficiency with programming/scripting languages (e.g. Python, Bash, PowerShell).Experience building ...

within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic ...

track record in leading process change, mentoring on secure-by-design principles, and driving continuous improvement.Cloud & Container Security: Strong knowledge of orchestration (AWS, Azure, GCP, Docker, Kubernetes) and container image vulnerability lifecycles.AppSec & DevSecOps: Deep understanding of threat modeling (STRIDE, PASTA), IAM, cryptography, web/network protocols (HTTP, REST ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

lead capacityStrong experience designing, building and operating scalable data platforms and pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions balancing resilience, pace ...

engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure, AWS or GCP, using cloud-native services for scalability and resilience.Strong stakeholder management, communication and problem-solving skills, with the ability to explain technical concepts and influence both ...

Solution Architect – API & GCP Edinburgh/Hybrid – 2–3 days per week £85,000–£95,000 + Benefits Permanent We’re working with an excellent brand looking for an experienced Solution Architect with strong expertise across API architecture and Google Cloud Platform (GCP) . You’ll play a key role … across API and cloud environments • Lead architectural decisions and provide technical direction across complex programmes • Design scalable, secure and resilient cloud-native solutions using GCP • Define API architecture, integration patterns and technical standards • Work closely with Product, Engineering and business stakeholders to shape technology roadmaps • Provide technical leadership through architecture ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

emerging GenAI technologies & standards.AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance.Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures ...

ideally have: 7+ years' experience in Cybersecurity, Application Security or Security Engineering Strong AppSec/DevSecOps experience Hands-on experience with AWS, Azure or GCP Strong Kubernetes and Docker/container security knowledge Experience integrating SAST, DAST, SCA and security tooling into CI/CD Strong understanding of threat modelling ...

including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches ...

deliver end-to-end solutions.Tech environmentPython, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.What we're looking forProven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience ...

using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical Excellence & Craft ...

lifecycle. Drive technical discovery, architecture, platform innovation, rapid prototyping, and AI-assisted development. Design and implement scalable cloud-native solutions on Google Cloud Platform (GCP), including serverless applications, APIs, and microservices. Ensure code quality, reliability, performance, and security through testing strategies, code reviews, monitoring, maintenance, and incident response. Own products … science, data analysis, and data-driven application development, including working with datasets, statistical or analytical techniques. Knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub ...