126 to 150 of 1,482 Serverless Jobs

designing and delivering enterprise GIS and geospatial solutions within complex digital environments. Strong understanding of software architecture, including distributed systems, microservices, event-driven and serverless architectures. Experience designing cloud-native solutions using AWS and/or Azure. Strong knowledge of GIS platforms, spatial data management and open-source geospatial ...

designing and delivering enterprise GIS and geospatial solutions within complex digital environments. Strong understanding of software architecture, including distributed systems, microservices, event-driven and serverless architectures. Experience designing cloud-native solutions using AWS and/or Azure. Strong knowledge of GIS platforms, spatial data management and open-source geospatial ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

event-driven interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part ...

limits understood, regression testing of prompts and agents, metric selection per use case. Cloud: Production delivery on AWS (incl. Bedrock), Azure or GCP, containers, serverless, networking basics, secrets management, IAM. Engineering discipline: Git, code review, testing, CI/CD, IaC (Terraform or equivalent), observability. Strong advantage Anthropic certification (Claude ...

Our client is a global professional services and technology consultancy. Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in ...

customer facing, complex and large scale project management- Application modernisation patterns and strategies- Containerisation technologies (Docker, Kubernetes, ECS, EKS)- Microservices architecture design and implementation- Serverless computing and event-driven architectures- API design and management- Application refactoring and re-platforming techniques- Cloud-native development practicesPreferred qualification - Experience and technical expertise ...

technologies Helping customers modernize legacy applications using proven patterns (e.g., .NET Framework → .NET Core, Java EE → Spring Boot, etc) Decomposing monoliths into microservices and serverless architectures (Lambda, ECS/EKS, Fargate, Step Functions, EventBridge) Database modernization using RDS, Aurora, DMS, and schema conversion tooling Eligibility for UK Government Security ...

deep Expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), KafkaSolution architect with broad expertise in wide ...

integration, and automated testing; Experience implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi‐environment releases; Experience building containerized, serverless, or event‐driven systems with strong observability; Experience strengthening platform security through Vault‐based secret management, least privilege access, and compliance automation; Experience designing ...

engineering role.Hands-on experience managing cloud infrastructure at scale, ideally with Azure, AWS or GCP.Good knowledge of cloud services including compute, storage, networking, serverless architecture, virtualisation and containerisation.Experience with Infrastructure as Code, automation and scripting tools such as Terraform, Azure DevOps Services, Git, PowerShell, Bash or Python.Experience building ...

engineering role.Hands-on experience managing cloud infrastructure at scale, ideally with Azure, AWS or GCP.Good knowledge of cloud services including compute, storage, networking, serverless architecture, virtualisation and containerisation.Experience with Infrastructure as Code, automation and scripting tools such as Terraform, Azure DevOps Services, Git, PowerShell, Bash or Python.Experience building ...

engineering role. Hands-on experience managing cloud infrastructure at scale, ideally with Azure, AWS or GCP.Good knowledge of cloud services including compute, storage, networking, serverless architecture, virtualisation and containerisation. Experience with Infrastructure as Code, automation and scripting tools such as Terraform, Azure DevOps Services, Git, PowerShell, Bash or Python. ...