1 to 25 of 71 Serverless Jobs in Manchester

geospatial applications that integrate cloud platforms, AI, and Earth Observation data to solve real-world challenges Understanding of modern software architecture including microservices, APIs, serverless computing and event-driven systems. Experience working in Agile teams using Scrum, Kanban and test-driven development. Strong collaboration and communication skills with experience ...

NoSQL databases. Excellent communication and stakeholder management skills. Strong problem-solving and technical decision-making ability. Experience working in Agile environments. Desirable Experience Serverless technologies (AWS Lambda). Docker and Kubernetes. Event-driven architectures and messaging systems. Background in fintech or regulated environments. Experience scaling engineering teams in high ...

operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon Bedrock and Amazon SageMaker ...

readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon Bedrock and Amazon SageMaker ...

architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)Solid experience with .NET/C# and SQL Server for building enterprise-grade applications ...

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 ...

platform reliability Producing clear technical documentation Delivering scoped work through sprint cycles using Jira Strong knowledge of AWS (ECS, Lambda, S3, CloudWatch, Aurora Serverless) Experience with Docker-based microservices using NestJS PostgreSQL with PostGIS extensions GeoJSON pipelines and REST APIs Vue and Vite on the front end Mapbox ...

prem applications to microservices based azure platforms. Experience of designing applications on cloud platforms (AWS, Azure) with an understanding of containerisation (Docker, Kubernetes) and serverless technologies. Working knowledge of UML, software modelling techniques, tools and languages in order to describe software and data in a standard format. Exceptional ...

Python development experience Experience with AWS Lambda, API Gateway, SNS, SQS, DynamoDB, EventBridge and CloudWatch Practical knowledge of event-driven architecture Experience building scalable, serverless applications Strong API and enterprise/system integration experience Infrastructure as Code experience with Terraform and/or AWS CDK Experience with ...

Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures, or DDD concepts. Familiarity with observability tooling and debugging complex systems. ...

technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution (AWS or equivalent), system, network and operating system Experience ...

Stack & Environment The core platform is Java-based, supported by a modern and evolving stack: Java (JDK 17), Spring Boot React, TypeScript AWS, including serverless approaches Terraform, Docker, Kubernetes Chef, Vagrant, Packer CI/CD pipelines and DevOps tooling You won't be expected to know everything listed above. ...

reliability, and security.QualificationsWhat We're Looking ForSignificant experience building and operating large-scale backend systems.Strong expertise in Java and modern cloud technologies.Experience with AWS serverless services such as Lambda, DynamoDB, API Gateway, SNS, SQS, and EventBridge, as well as Kubernetes (K8s) and related cloud-native technologies.Experience with CI/ ...

driven team, and apply your skills in novel ways. And you will have fun doing it! Our technology stack is modern - cloud based, containerized, serverless and microservices oriented. You will play a key role in implementing tools and processes that aim to improve the quality ...

applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version ...

Working with high-level stakeholders -both internally and externally. Exposure to the some of the following technologies: Gitlab, Jenkins, Kubernetes, Docker, Terraform, Packer, Vault, Serverless, Elastic Stack, Prometheus, Grafana, Artifactory & Nexus Due to nature of the sector this role, you will be required to undertake high level security clearance. ...

Experience designing and building cloud solutions using AWS and DevOps best practices. - Ability to create and manage scalable infrastructure using Kubernetes, terraform, CloudFormation and serverless technologies. - Experience working directly with clients and project teams to deliver technical solutions from start to finish. - Use Agile and DevOps methodologies to continuously ...

.Net Experience building and running production systems on AWS or Azure, with a working understanding of what your design decisions cost. Experience with serverless architectures. Experience with infrastructure as code, using tools like AWS CDK, CloudFormation, Terraform or similar. Experience building secure, scalable and performant systems, treating security ...

working within Agile product teams Strong communication and stakeholder management skills Experience using AI tools to enhance software delivery and engineering workflows Bonus Points Serverless or event-driven architectures SaaS, platform or data product experience Experience improving engineering maturity, operational excellence or team performance Familiarity with Team Topologies ...

willing to learn Tech Stack & Environment The core platform is Java-based, supported by a modern and evolving stack: React, TypeScript AWS, including serverless approaches Chef, Vagrant, Packer CI/CD pipelines and DevOps tooling You won't be expected to know everything listed above. Strong Java fundamentals ...

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 ...

prompt/model/tool versioning, regression monitoring and incident response. Strong AWS and cloud-native engineering experience, including Infrastructure as Code, containers or serverless services, networking, IAM and monitoring. Experience with CI/CD and production ownership, with willingness and ability to participate in an on-call rota. ...

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 ...

PyTorch, 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 ...

Who You Will Be Working With As a Data Engineer at Capgemini, you'll design, build and operate reliable, scalable data pipelines and data products: the trusted foundations that power analytics, AI, GenAI and increasingly ...