6 of 6 Remote/Hybrid Serverless Jobs in Edinburgh

databases Solid experience with CI/CD pipelines and DevOps tools Bonus Points For Terraform, CloudFormation, or other infrastructure-as-code tools Experience with serverless functions (AWS Lambda, Azure Functions) Messaging systems like Kafka or RabbitMQ Familiarity with security protocols such as OAuth2 and SAML QA automation and integration ...

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 ...

Bristol, or Edinburgh with hybrid working. You will join a large team developing a TypeScript-based backend and data-driven platform, leveraging AWS and serverless tech at scale. You will collaborate across product and engineering teams, own services end-to-end, and mentor others while delivering real-time, customer ...

Company Description Version 1 has celebrated30 yearsinbusinessand continues to be trusted by global brands to delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships ...

Technical Lead - Backend (Java/Spring Boot) Edinburgh, Leeds, Manchester, London About the role This is a senior, hands‐on technical leadership role embedded in a client team in a fast‐paced, product‐led environment. ...

their hands dirty alongside the delivery team. Key Responsibilities Design AI/GenAI solutions on AWS (Amazon Bedrock, Bedrock Agents, Amazon Q, SageMaker, associated serverless and data services) and produce architecture documentation for customer engagements. Scope and design broader AWS solutions including migrations, Landing Zones, modernisation and cloud governance … patterns – tool use, retrieval‐augmented generation, evaluation methodology and production deployment considerations. Solid grounding in core AWS services (compute, networking, storage, security, identity, serverless) – sufficient to scope and deliver engagements beyond AI/ML. Proven ability to author detailed, commercially sound Statements of Work – scoping, estimating, structuring deliverables ...