526 to 550 of 2,032 GCP Jobs

data platforms, such as: MODCloud – ICE, ACE environments AWS data services (e.g. S3, Redshift, EKS, Kinesis) Azure data services (e.g. Data Lake, Synapse, AKS) GCP Kubernetes‐based platforms and containerised data services Telicent Understanding of NATO data standards, interoperability requirements, or multi‐national data sharing constraints. Experience supporting systems operating ...

prompt engineering Solid understanding of data pipelines and APIs Experience deploying models in production environments Familiarity with cloud platforms (AWS/Azure/GCP) Desirable Experience Knowledge of vector databases and retrieval-augmented generation (RAG) Exposure to MLOps tooling (CI/CD, monitoring, model versioning) Experience in regulated industries (e.g. ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning ...

with Django REST API development System design and software architecture experience Agile delivery experience Test-Driven Development (TDD) Cloud platform experience (AWS, Azure or GCP) Excellent communication and stakeholder engagement skills Desirable Government Digital Service (GDS) experience UK Government or Public Sector projects Experience working in secure or regulated environments ...

operating in complex client environments Experience shaping modern data strategies, architectures and operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills, including experience engaging ...

contribution, leading solution design, validating architectural approaches, tackling complex technical challenges and supporting teams through key delivery initiatives. Technical Environment React, NestJS, Cloud Platforms (GCP/Azure), Micro Frontends, CI/CD, Automated Testing, Docker, Kubernetes, Helm, Terraform, Security Best Practices and Modern Engineering Practices. Key Responsibilities Provide technical leadership ...

other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough ...

have experience: Experience in Web3, Blockchain or Digital Assets Experience building AI workflows, agents, and guard‐railing Technologies we use: Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE) Infrastructure‐as‐Code: Terraform Security tooling: Wiz, SonarCloud, Burp, Cloudflare CI/CD and source control: GitHub, GitHub Actions, Artifactory ...

CRDs - you understand reconciliation loops, custom resources, and how operator-driven infrastructure differs from imperative provisioning. Hands-on with at least one of GCP (GKE, Cloud SQL, Pub/Sub, Secret Manager) or Azure (AKS, Azure DB for PostgreSQL, Key Vault), and willing to learn the other. Clear written communication ...

engineering and architecture candidates**Qualifications**Degree in Computer Science, Software Engineering, or a related technical discipline, or demonstrably equivalent experience. Professional certifications (AWS, Azure, GCP) are valued but not a substitute for practical architecture experience.* 7+ years in software engineering with at least 3 years in an explicit architecture role ...

integrations, cloud platforms, data visualisation tools, data warehousing solutions or mobile app analytics.* Knowledge of Adobe Analytics and Adobe Launch* Experience with Google Cloud Platform and Tealium.**What we offer**This is a permanent role that can be based from our Manchester, London, Leeds, Edinburgh or Stafford office ...

Experience in Developer Experience (DevEx) & Internal Portals: Designing and implementing solutions/tools that centralise and simplify engineering operations. Familiarity with cloud platforms (AWS, GCP or the like) Experience in implementing AI-driven automation across the software development lifecycle (SDLC) to reduce developer friction, automate repetitive technical tasks, and accelerate ...

Agile methodologies, DRY, Clean Code, API design and micro-services. Technical Ecosystem: Experience in a full range of tools such as Git, Docker, Kubernetes, GCP Financial Products Expertise: Comprehensive understanding of financial products, risk models and methodologies (SPAN, VaR etc) Analytical Aptitude: Exceptional mathematical and analytical skills. Educational Foundation: Degree ...

with enterprise customers. Strong customer‐facing presentation skills. Experience running discovery workshops. Solution design experience. Proof of Concept delivery. Cloud technologies (Azure, AWS or GCP). AI, Machine Learning or modern data platform knowledge. APIs and systems integration. A consultative mindset. Working knowledge of Python, SQL or modern analytics platforms ...

Python, Typescript, Golang etc) with the ability to read, write and maintain production quality code Hands on experience in cloud-native environments (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform) Strong understanding of cloud security fundamentals: IAM, networking, PKI, linux internals Experience securing CI/CD pipelines to prevent ...

moving data between systems reliably. Infrastructure-as-code and cloud fluency. We use Terraform and AWS as required, but experience with Azure or GCP is just as relevant. Exposure to server or network hardware, networking concepts, or datacentre operations. #J-18808-Ljbffr ...

right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native architectures, UML, ArchiMate Additional ...

right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native architectures, UML, ArchiMate Additional ...

right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native architectures, UML, ArchiMate Additional ...

Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development ...

successful as a Software Engineer, you should have: Significant experience delivering production software Demonstrable experience with major cloud platforms (AWS, Azure, or GCP) Proficiency with modern CI/CD solutions such as GitHub Actions or GitLab CI Experience with frontend UI development, databases, backend development (API) Some Other Highly Valued ...

patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production ...

organisations. Practical hands-on experience of designing, architecting & deploying AI-enabled solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience ...

rather than holding them in your head. What we're looking for Strong cloud infrastructure experience. AWS is preferred; we'll also consider strong GCP backgrounds. Hands‐on Kubernetes experience. Infrastructure‐as‐code as a working tool, not a buzzword. Terraform is preferred, but Pulumi, CloudFormation, Ansible or similar ...

## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration, data science processes.* ## ...