20 of 20 AWS Lambda Jobs in the City of London

Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure-as-Code Data Science : Graph analytics, data pipelines, ETL workflows … event-driven architectures and message queues Knowledge of API design principles, data validation, and serialisation Experience with observability tools (OpenTelemetry, Prometheus, Grafana) Experience with AWS Lambda and serverless architectures Experience working across the stack (backend + some frontend) Understanding of web technologies, HTTP, and API integrations Ability ...

streaming ecosystem. What You’ll Be Working On Building and supporting APIs and microservices in production Developing backend systems using Python + AWS (Lambda, API Gateway, S3, DynamoDB) Working with event-driven systems (Kafka, SNS/SQS, etc.) Supporting and improving existing production systems Debugging real-world issues … keeping systems stable at scale Collaborating within an existing team + codebase (pragmatic engineering) Tech Stack Python AWS (Lambda, API Gateway, S3, DynamoDB, IAM) Event-driven systems (Kafka, SNS/SQS) Databases (Postgres, DynamoDB, Couchbase) CI/CD (Concourse, Git workflows) Observability (Prometheus, Grafana, CloudWatch) What ...

critical services across the ecosystem. What You’ll Be Working On Designing and delivering scalable APIs and microservices Building backend systems using Python + AWS (Lambda, API Gateway, S3, DynamoDB) Handling event-driven architectures (Kafka, SNS/SQS, etc.) Driving system design decisions across distributed systems Improving observability … performance in production Debugging complex issues and leading resolution across teams Staying hands-on while setting technical direction and standards Tech Stack Python AWS (Lambda, API Gateway, S3, DynamoDB, IAM) Event-driven systems (Kafka, SNS/SQS) CI/CD (Concourse, Git workflows) Databases (Postgres, DynamoDB, Couchbase) Observability ...

engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate … products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia ...

proficiency using most of the following: Frontend: TypeScript, Astro and/or Next.js, React, HTML, CSS Backend: Node.js, Go, RESTful APIs, OpenAPI Cloud: AWS, Lambda, DynamoDB, S3, CloudFront Infrastructure as Code: SST, Terraform, CDK, Pulumi or similar Testing: integration and end-to-end testing, component story testing ...

AWS Technical Lead - £120,000 - £130,000 + 20% Bonus – London (Hybrid) – Investment Banking Overview: A market leading Investment Banking organization are searching for an experienced AWS Technical Lead to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Lead the design … implementation of cloud solutions on AWS as the platform is onboarded, ensuring alignment with the organisation’s security, compliance, and architectural standards. Provide operational (BAU) support for AWS services and contribute to Azure support where required. Collaborate closely with application, security, and infrastructure teams to deliver secure, scalable ...

NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers … testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing ...

engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal … testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing ...

engineering workflows Skills and requirements: Kafka - deep, hands-on experience is essential (topic design, consumer groups, schema registry, Kafka Streams or similar) TypeScript, Node.js AWS (EKS, Lambda, Aurora RDS), Kubernetes GraphQL, Terraform, DataDog Salesforce or enterprise CRM experience is a strong advantage Contract details: IR35: Outside IR35 Rate ...

reliability, and making smart architectural decisions in a fast-moving engineering culture. What you’ll do Build and operate cloud-native platform services on AWS Own systems from architecture and implementation through to production operations Design secure, scalable, and highly reliable infrastructure services Help shape technical direction and engineering … Solve hard problems around access control, automation, and cloud-scale operations What we’re looking for Strong experience building and running production systems on AWS Deep familiarity with services like Lambda, DynamoDB, S3, EC2, SQS, EventBridge, CloudWatch, and Route 53 Excellent Python skills, plus experience with ...

workflows. Work with XML-based messaging standards and protocols commonly used in financial transactions. Deploy, monitor, and scale applications in Red Hat OpenShift and AWS cloud environments. Integrate with MongoDB and other NoSQL/SQL datastores for real-time data management. Collaborate with DevOps, Product, and QA teams … with XML and message parsing/transformation. Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes. Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc. Solid understanding of MongoDB and NoSQL design patterns. Prior experience in Payments Processing, financial services ...

discovery features, billing, payment, and viewing. This person should have experience with development using Typescript, Node.js for backend development. Experience working within a heavy AWS environment working within a serverless infrastructure. They should stay up to date on the latest technologies and comfortable in a collaborative environment. The applicant … must have the following: Experience utilizing Typescript and Node.JS for backend development within an enterprise level organization Extensive experience coding and deploying features within AWS serverless environment Experience working with AWS Services Lambda, S3, DynamoDB Observability tools such as Datadog or NewRelic ...

Client Reporting Framework Add instrument and asset class coverage in our Trade Repository system Manage data exchange with third-party vendors via SFTP and AWS S3 Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability Collaborate with quant … 5+ years in financial services (buy-side strongly preferred) Solid relational database skills; MS SQL Server a strong plus Snowflake experience required Familiarity with AWS (S3, Lambda, EC2, Glue or similar) Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog) AI & Tooling: Proven, hands ...

Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases ...

Role: Business Intelligence Engineer/AWS Data Engineer Location: Swindon or London (Hybrid – max once per month onsite) Contract: Initial 3-month contract (strong extension potential) We’re supporting a client in hiring an experienced Business Intelligence Engineer/AWS Data Engineer to help build and enhance … modern AWS-based data platform while contributing to emerging AI initiatives. This role combines hands-on data engineering, BI delivery, and exposure to AI/ML technologies within a large-scale, evolving environment. Key Skills Required Strong AWS data engineering experience (Glue, S3, Lambda, Redshift, Athena) Advanced ...

prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML. Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines … collaboration in diverse, multi‐disciplinary teams. Nice to have Document & graph stores (e.g., Neo4j) and streaming patterns (Event Hub/Kafka). Azure/AWS Solutions Architect exposure; optional governance/model‐risk/responsible‐AI credentials. Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI‐102) or Azure ...

aligned data programmes. Required Experience & Skills Extensive experience in data engineering, cloud platforms, and enterprise data transformation programmes, including leadership responsibilities Strong expertise across AWS services including S3, Lambda, IAM, VPC, DMS, and cloud-native data architectures Proven experience leading enterprise-scale platform modernisation, migration, and cloud transformation … stakeholder management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

recruiting for a BI/AWS Engineer to work on a remote basis with occasional travel to London or Swindon (once a month). The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. I am searching … experienced Business Intelligence Engineer/AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts ...

month max) Contract: Initial 3 months Rate: £530 per day (Inside IR35) We are seeking a Business Intelligence Engineer with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. This role offers the chance to support the development … related initiatives and roadmap delivery. Apply best practices around data quality, governance, and performance optimisation. Required Skills & Qualifications: Strong hands-on experience with AWS Data Engineering stack (e.g., Glue, S3, Lambda, Redshift, Athena). Advanced SQL skills. Proficiency in Python for data processing and pipeline development. Infrastructure/ ...

includes building models, analysing performance, and identifying opportunities to improve how we assess and manage risk in practice. What you’ll do Work within AWS-based production environments, including testing, maintaining and supporting changes across credit decisioning workflows and Lambda-driven processes Analyse originations, arrears, defaults, cures … environments, with demonstrated experience beyond traditional scorecard methodologies (e.g. machine learning, hybrid/ensemble or data-driven segmentation approaches) 3+ years’ experience working within AWS-based decisioning environments, including testing and supporting changes across production workflows and services such as Lambda. 2+ years’ experience working in lending or live ...