20 of 20 Serverless Jobs in Scotland

development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns About Us J.P. Morgan ...

operating workloads on Virtual Server Instances alongside container orchestration platforms Load balancing - L4/L7 load balancers, traffic distribution, and high-availability patterns Serverless technologies (e.g., AWS Lambda) and event-driven architectures Networking and scaling - DNS, routing, auto-scaling, horizontal/vertical scaling, and performance tuning under load ...

Experience with data analysis and machine learning tools and frameworks Certifications in software engineering, project management, or related fields Experience building on emerging cloud serverless managed services Experience implementing security solutions for data storage and processing in the cloud #J-18808-Ljbffr ...

Experience with data analysis and machine learning tools and frameworks Certifications in software engineering, project management, or related fields Experience building on emerging cloud serverless managed services Experience implementing security solutions for data storage and processing in the cloud ABOUT US J.P. Morgan is a global leader in financial ...

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 … 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 Actions. Strong understanding and practical application of secure ...

TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python ...

deploying multi‐agent autonomous systems that have run in production not just proofs of concept. Cloud & MLOps fluency: AWS/GCP/Azure, containerization, serverless architectures, and MLOps/LLMOps tooling (Weights & Biases, LangSmith, MLflow). A product‐first mindset: Fluency with evaluation frameworks (Ragas, DeepEval) and a track ...

support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements ...

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 search and RAG patterns Exposure to vector databases and agent frameworks such ...

TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python ...

Languages: Java, JavaScript, Angular JS, Vue JS. Desirable Qualifications Knowledge of PostgreSQL (EnterpriseDB), Jenkins Automation Server and Nexus Repository. Experience in architecting Cloud native serverless technologies. This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure ...

hackajob is partnering directly with AND Digital to hire for this role. Role: Senior Full Stack Developer. Duration: 12 Month FTC Location: Primarily remote, with occasional trips to Aberdeen (typically 1-2 times per quarter ...

Join us at Barclays as a Senior AWS Developer, where you'll be part of a team building a sustainable infrastructure to support multiple business channels. This is an exciting time within Barclays Technology, with ...

Microsoft Power Platform Developer Location: Edinburgh - (on-site) Contract Duration : 4 months + Start Date: ASAP Market Rate - Inside IR35 About HCLTech HCL Microsoft Business Applications Practice is seeking a Microsoft Power Platform Developer for ...

Business Systems Engineer (Senior Full-Stack/AI-First) Location: Hybrid (UK-based), with regular time in Edinburgh Type: Permanent, Full-Time A growing international technology-driven business is seeking a Business Systems Engineer to ...

We are seeking an experienced Migration Specialist with deep expertise in AWS infrastructure and Informatica MDM solutions (C360 and R360). The ideal candidate will lead data migration initiatives, ensure high data quality, and support ...

ASA Recruitment’s client, a Public Sector organisation with offices in both Glasgow and Dundee are currently looking to recruit an Integration Architect for an initial 11 month contract (with potential extensions) on a rate ...

Positioning Optima as an outcomes-focused delivery partner rather than a time-and-materials augmentation provider Bringing deep, current expertise in cloud-native and serverless data platforms, including AWS, Databricks, Snowflake and/or BigQuery Applying regulated-industry delivery experience across data governance, platform resilience, audit and compliance constraints … leadership or practice leadership roles such as Engineering Manager, Principal Consultant, Head of Engineering or CTO Track record of building and scaling cloud-native, serverless platforms in regulated industries Ability to discuss architecture decisions in detail and assess technical trade-offs credibly Working knowledge across major cloud and data ...

Join us as an AI Engineering Lead for Barclays Private Bank and Wealth Management, where you lead the design, deployment, and governance of AI-enabled solutions, supporting the adoption of Agentic AI across the organisation ...

Job Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality ...