26 to 50 of 55 Amazon SQS Jobs in the UK

experience Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate Strong RDBMS knowledge Experience developing distributed, micro services-based applications. Experience with data modelling and curation for large-scale datasets Preferred Qualifications ...

operational‐domain systems. Evidence of self‐directed learning, such as personal projects or open source contributions. Technologies we use Golang AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS (PostgreSQL) React, React Native GitHub, GitHub Actions Grafana, Loki Claude Code Event‐driven architecture and domain‐driven design Our interviewing process Intro ...

REST, gRPC) and microservices architecture Hands-on experience with Java/Spring Boot Proven delivery of cloud-native solutions on AWS (ECS/EKS, SQS/SNS, API Gateway) Experience delivering complex integrations within financial services (Payments, FX, Retail Banking) Strong stakeholder engagement and communication skills Additional: Experience with ...

have strong support on the team) Financial services or regulated environment experience Operational resilience concepts (SRE, monitoring, alerting) AWS advanced services (SNS/SQS, Secrets Manager, CloudWatch) Kubernetes or container orchestration Modernizing manual/spreadsheet-based processes ...

common design patterns where applicable and adheres to published coding standards Experience analyse, investigate and compare large data sets when required Functions, Lambdas, EventBridge, SQS and Lake formation Experience with automated testing methodologies Additional Information Benefits package includes: Great compensation package and discretionary bonus plan Core benefits include pension ...

common design patterns where applicable and adheres to published coding standards Experience analyse, investigate and compare large data sets when required Functions, Lambdas, EventBridge, SQS and Lake formation Experience with automated testing methodologies Additional Information Benefits package includes: Great compensation package and discretionary bonus plan Core benefits include pension ...

redesign systems from the ground up Delivery Lead the delivery of scalable backend services leveraging Event Driven Architecture and AWS Serverless technologies: Lambda, EventBridge, SQS, DynamoDB Lead the team to design and build APIs (REST & GraphQL) that support world-class customer-facing features Have the toolkit to work ...

ensuring architectural consistency and driving secure, scalable solutions across the organisation. Youll stay hands-on with AWS technologies like Lambda, API Gateway, EventBridge and SQS/SNS, building reusable components, frameworks and high-quality code while championing modern engineering practices including CI/CD, automated testing and DevSecOps. Youll ...

estimates Requirements: 7+ years of professional experience building backend systems Proficiency with Kotlin or Java/JVM Proficiency with PostgreSQL Experience with AWS: S3, SQS, SNS, Lambda, etc. Experience implementing and managing elaborate integrations with third-party APIs Experience working on systems that have real-world performance and reliability ...

Lambda, ECS/EKS and RDS/Aurora - specialised knowledge in Aurora performance tuning is a significant plus Proficiency with AWS messaging services, specifically SQS, SNS and EventBridge Strong communication skills across technical and non-technical audiences Rewards and Benefits: Basic salary between £65,000 and £80,000 (plus ...

using Java , Spring Boot, Spring, GraphQL , and GraphQL Federation . Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines. Champion clean code, SOLID principles, and engineering best practices , setting standards and mentoring engineers. Collaborate ...

scaling operational environment where software has a direct physical‐world impact. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event‐driven architecture and domain‐driven design Our interviewing ...

creating a world of work where potential matters more than experience. Our market-leading, task-based psychometric assessments help organisations like Amazon, Siemens and Jet2 make fair, evidence-based hiring decisions. We’ve doubled ARR year-on-year for the past three years and are looking … Kotlin, Typescript, Python Http4s, Http4k, Circe, Cats, Cats-Effect, Doobie, React, Exposed Testing Specs2, ScalaCheck Infrastructure & DevOps AWS (EKS, Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Data Prometheus, Grafana, OpenSearch Snowflake You don’t need experience ...

proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration ...

luxury tech brand. Bonus Points Prior experience in e-commerce, marketplaces, or membership-based platforms. Familiarity with event-driven architectures and message queues (Kafka, SQS, etc). Experience working closely with design or product teams in consumer-facing companies. Passion for fashion, luxury, or retail innovation. Why Join MILE ...

databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What ...

databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What ...

using Java and Kotlin. You will mentor juniors and help shape design decisions. The role focuses on containers on EKS, Kafka, EventBridge, SQS and Terraform, with Spring ecosystem. Hybrid work in London with 3 days onsite. #J-18808-Ljbffr ...

high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. ...

high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. ...

monthly active users Build and optimise RAG pipelines, including chunking strategies, embedding generation, and vector store management Architect event-driven microservices using Kafka/SQS for async processing of high-volume inference requests Implement observability and cost-tracking for token usage across multiple LLM providers (Anthropic, OpenAI, open-source … product iterates quickly Core Tech Stack: Languages: Python (FastAPI), Go, TypeScript (Node.js) Databases: PostgreSQL, Redis, Pinecone/pgvector Infra: AWS (ECS, Lambda, SQS/SNS), Docker, Kubernetes, Terraform AI/ML tooling: LangChain/LlamaIndex, vLLM, Anthropic & OpenAI APIs, embedding models Observability: Datadog, Grafana, OpenTelemetry CI/CD: GitHub ...

Location: London Role Summary We are seeking a highly skilled AWS AI Agent Engineer with strong hands-on experience in agentic AI development, Amazon Bedrock, AWS AgentCore, Python, TypeScript and production-grade AIOps. The role will focus on designing, building, deploying and operating enterprise AI agents and multi … APIs and orchestration components using Python and TypeScript. Build event-driven and serverless applications using AWS Lambda, API Gateway, EventBridge, Step Functions, DynamoDB and SQS/SNS. Create reusable libraries, patterns and accelerators to standardize AI agent development across teams. AIOps, Production Monitoring & Operations Establish monitoring, observability and operational ...

testing, preferably using Cucumber CI/CD experience (GitLab, Jenkins or GitHub Actions) Agile delivery experience (Scrum/Kanban) Desirable Skills AWS services (SQS, S3, SNS and/or KMS) GitLab CI/CD Gatling or K6 load testing Kubernetes or Amazon ECS Senior-Level Experience Experience ...

workload, tuning for performance at scale, and modelling for both transactional and high-throughput access patterns. Building resilient, event-driven systems with SQS and related AWS messaging primitives – idempotency, retries, dead-letter handling, and clean separation of concerns across services. Owning each feature’s solution end-to-end – partnering … lead design of distributed REST API microservices at scale. Authority in AWS serverless architecture – Lambda‐first, with strong working knowledge of API Gateway, SQS, Step Functions, EventBridge and IAM, and a track record of shipping production workloads on this stack. Deep data expertise across Aurora RDS MySQL and DynamoDB ...

TypeScript packages in a pnpm monorepo) Design and evolve backend services for high-volume, distributed screening workloads Build event-driven pipelines (AWS SNS/SQS) with idempotent consumers, DLQs and batch processing Design clean APIs and contribute to architecture across multiple products Integrate external identity, KYC and payments platforms … Strong grasp of REST APIs, auth/authorisation and data modelling (MongoDB or similar) Experience with event-driven/message-based systems (SNS/SQS, Kafka or RabbitMQ) Solid testing practices (unit, integration, end-to-end) Comfortable owning loosely defined features from concept to production Strong communication skills; thrives ...