1 to 25 of 254 Serverless Jobs in London

drive to be part of an A Player engineering team. Preferred: Experience with AWS IoT Core, Kinesis data streaming, message queues (SNS/SQS), serverless architectures, and containerization (Docker). Prior work with connected devices, IoT ecosystems, or large scale device management platforms. Knowledge of BLE (Bluetooth Low Energy ...

with relational databases such as PostgreSQL, SQL Server, or MySQL; Experience working with AWS Cloud Platform and understanding of cloud-based architectures; Familiarity with serverless architecture and AWS services related to cloud networking and storage; Experience with cloud scalability and availability concepts, including Auto Scaling and Load Balancing; Experience ...

REST, WebSockets, Docker, Git, and AWS CodePipeline or similar CI/CD tools. Nice to have: AWS IoT Core, Kinesis data streaming, message queues, serverless architectures, Docker, connected devices, IoT ecosystems, large-scale device management platforms, BLE, WiFi connectivity protocols, Rust, C/C++, systems programming languages, AI-assisted ...

DevOps practices and CI/CD pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP Familiarity with containerisation technologies (Docker, Kubernetes) or serverless architectures Experience with automated testing frameworks and modern development practices Understanding of software architecture patterns and secure design principles Strong communication skills with ...

Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest ...

Azure services such as Azure Functions, Azure Cosmos DB, Azure Blob Storage, and Azure Virtual Machines (VMs). Strong understanding of cloud-native architectures, serverless computing, and scalable application design. Microsoft Certified: Azure Developer Associate (AZ-204) or Azure Solutions Architect Expert (AZ-305) preferred. Additional Information Why Version ...

Azure services such as Azure Functions, Azure Cosmos DB, Azure Blob Storage, and Azure Virtual Machines (VMs). Strong understanding of cloud-native architectures, serverless computing, and scalable application design. Microsoft Certified: Azure Developer Associate (AZ-204) or Azure Solutions Architect Expert (AZ-305) preferred. Additional Information Why Version ...

relevant field is a strong plus. Parallelisation & Performance : Experience with parallelisation frameworks like Pyspark or Ray. Advanced Cloud & Infrastructure : Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible. ...

storage including Aurora, DynamoDB, S3 Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have a lot of freedom to solve problems in a way that achieves our outcomes ...

Solution Architect. Expertise in cloud platforms (AWS, Azure, or GCP). Hands-on experience with Node.js, Java, and/or Python. Knowledge of microservices, serverless, APIs, DevOps, Docker, Kubernetes, and IaC. Understanding of GDS standards, security-by-design, and public sector delivery. Excellent stakeholder management and technical leadership skills. ...

will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/CD automation A strong consulting background with excellent stakeholder management skills A solid understanding ...

Experience building or maturing cloud landing zones, platform governance frameworks, and self‐service developer platforms. Deep understanding of modern cloud architectures, including containers, Kubernetes, serverless technologies, APIs, networking, security, and identity management. Strong hands‐on expertise with Infrastructure as Code, with master proficiency in Terraform. Experience developing and operating ...

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 ...

confidence. Задачи Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody’s products; Drive adoption of serverless architectures and container-based platforms to modernize applications and improve delivery efficiency; Implement Infrastructure as Code and Policy as Code practices to improve consistency, governance ...

hands-on Azure integration experience UK Government Security Clearance Experience leading, mentoring or developing other engineers Strong knowledge of microservices, event-driven and serverless architectures Experience contributing to solution design and architecture Excellent stakeholder management and communication skills Confidence working in client-facing and consulting environments Strong written ...

chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience ...

DAST, SCA and secrets scanning tools Secure architecture understanding: familiarity with secure design patterns and common failure modes in modern architectures (cloud-native, microservices, serverless) Secure AI and data-driven systems awareness: understanding of risks associated with AI models, data pipelines and prompt or model manipulation Training and enablement ...

equivalent practical experience Responsibilities Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moodys products. Drive adoption of serverless architectures and container-based platforms to modernize applications and improve delivery efficiency Implement Infrastructure as Code and Policy as Code practices to improve consistency ...

Management platforms. Payment gateways. Third-party telephony services. AI and conversational platforms. Implement CTI and screen-pop functionality where required AWS Solution Development Develop serverless applications using: AWS Lambda. API Gateway. DynamoDB. SQS. SNS. S3. Create Infrastructure as Code using Terraform. Develop reusable components and automation frameworks. Customer Experience ...

enterprise Agent Skills Marketplace with appropriate guardrails. Design, build, and support AWS services including VPC networking, compute, storage, containers (ECS/EKS), and serverless (Lambda). Develop Python based automation, services, and agent skills using Boto3 and AWS Lambda. Perform Linux configuration, hardening, and troubleshooting in cloud environments. Collaborate ...

large-scale data transformation Provision and scale secure AWS infrastructure using Terraform Architect cost-efficient, low-latency, high-throughput solutions without compromising reliability Deploy serverless and containerised workloads across Lambda, ECS, EC2, SQS, S3 and RDS Build and maintain CI/CD pipelines to automate testing, builds and deployments ...

implement Amazon Connect contact flows, routing logic, and IVR solutions for voice and digital channels (live chat, voice, written channels) Build and deploy serverless integrations using AWS Lambda (Python/Node.js), API Gateway, DynamoDB, Kinesis, and CloudFormation/Terraform connecting Amazon Connect to backend systems (Pega CRM, internal APIs ...

embeddings, chunking strategy, vector databases, and context engineering LLMOpsfundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, andIaC(Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience ...

embeddings, chunking strategy, vector databases, and context engineering LLMOpsfundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, andIaC(Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience ...

embeddings, chunking strategy, vector databases, and context engineering LLMOpsfundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, andIaC(Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience ...