21 of 21 Amazon SQS Jobs in Central London

TDD principles CI/CD skills with GitHub Actions (or similar) A collaborative approach to PR review and architecture discussions Desirable (but not essential): Event-driven architecture (e.g., SNS, SQS, EventBridge) AI/LLM integration (Python experience welcome) Data pipelines and ETL workflow knowledge Experience scaling cloud services and optimising for performance and cost in serverless environments Location & Flexibility More ❯

Strong understanding of architectural patterns like CQRS , Event Sourcing , SAGA , and Domain-Driven Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. Proficiency in CI/ More ❯

either consumer facing or business facing Product platforms, not internal IT infrastructures. Tech You’ll Work With Cloud & Infra: AWS (EC2, ECS, Aurora, RDS, ElastiCache, S3, Route 53, CloudWatch, SQS, Cognito) IaC: Terraform or CloudFormation CI/CD: AWS CodePipeline, CodeBuild Containerization: Docker on ECS Monitoring & Security: CloudWatch, Systems Manager, IAM policies, encryption Other Tools: MongoDB Atlas, Google CDN More ❯

either consumer facing or business facing Product platforms, not internal IT infrastructures. Tech You’ll Work With Cloud & Infra: AWS (EC2, ECS, Aurora, RDS, ElastiCache, S3, Route 53, CloudWatch, SQS, Cognito) IaC: Terraform or CloudFormation CI/CD: AWS CodePipeline, CodeBuild Containerization: Docker on ECS Monitoring & Security: CloudWatch, Systems Manager, IAM policies, encryption Other Tools: MongoDB Atlas, Google CDN More ❯

e.g., Terraform, CloudFormation), and CI/CD pipelines Experience with relational and NoSQL databases (e.g., SQL Server, PostgreSQL, DynamoDB) Familiarity with event-driven architecture and messaging systems (e.g., SNS, SQS, Kafka) Proven track record working in FinTech or financial services environments Nice to Have: Frontend experience with modern frameworks (e.g., React, Angular) Familiarity with containerization (Docker) and orchestration (Kubernetes More ❯

at scale. Core Responsibilities Architect distributed agentic systems using LLMs and tool-using AI components across enterprise cloud environments Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation More ❯

Desirable Skills: Background in serverless technologies (e.g. Lambda, Step Functions, API Gateway) Experience with data tools like EMR, Glue, or Apache Spark Understanding of event-driven architecture (EventBridge, SNS, SQS) Knowledge of AWS database offerings including DynamoDB and RDS Familiarity with multi-region deployments and failover strategies AWS certifications (Solutions Architect, DevOps Engineer) preferred **This role is open for More ❯

by global teams of engineers, QAs, SREs, and DevOps professionals. Comfortable managing a mix of direct reports and shared teams Skills & Experiences AWS Technologies (e.g. ECS, DynamoDB, Lambda, Aurora, SQS, SNS, VPC, Private Link, etc.) Multi-threading & Socket Programming: Java + Spring Applications Architectures - Event Sourcing, CQRS, Polyglot Database, Traditional OLTP, OLAP DevOps - Provisioning-based Infrastructure-as-Code, CI More ❯

understanding of web architecture Proficiency in building and managing APIs (GraphQL & RESTful) and strong database fundamentals (MongoDB) In-depth knowledge of AWS services (e.g. Lambda, Aurora RDS, EC2, ECS, SQS) Familiarity with CI/CD, DevOps practices, and common design patterns Bonus: AWS certifications Benefits Private healthcare EV company car scheme Staff discounts Comprehensive pension plan Location: Hybrid (Central More ❯

understanding of web architecture Proficiency in building and managing APIs (GraphQL & RESTful) and strong database fundamentals (MongoDB) In-depth knowledge of AWS services (e.g. Lambda, Aurora RDS, EC2, ECS, SQS) Familiarity with CI/CD, DevOps practices, and common design patterns Bonus: AWS certifications Location: Hybrid (Central London office - team meets twice weekly) Interview Process: Streamlined two-stage virtual More ❯

and machine learning to identify trading behaviors that could trigger regulatory attention. The tech stack includes Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS, and other cloud-native tools. You’ll work alongside a high-impact engineering team to build fault-tolerant data pipelines and services that process massive time-series datasets in … and Apache Spark Develop and optimize Spark jobs on AWS Serverless EMR for large-scale time-series processing Build event-driven and batch workflows using AWS Lambda, SNS/SQS, and DynamoDB Ingest and transform data from flat files, APIs, and streaming systems Participate in architecture/design reviews, code reviews, and performance tuning Write unit, integration, and performance … large-scale data processing Advanced Java programming skills (multithreading, concurrency, performance tuning) Expertise in Apache Spark and Spark Streaming Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures More ❯

and machine learning to identify trading behaviors that could trigger regulatory attention. The tech stack includes Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS, and other cloud-native tools. You’ll work alongside a high-impact engineering team to build fault-tolerant data pipelines and services that process massive time-series datasets in … and Apache Spark Develop and optimize Spark jobs on AWS Serverless EMR for large-scale time-series processing Build event-driven and batch workflows using AWS Lambda, SNS/SQS, and DynamoDB Ingest and transform data from flat files, APIs, and streaming systems Participate in architecture/design reviews, code reviews, and performance tuning Write unit, integration, and performance … large-scale data processing Advanced Java programming skills (multithreading, concurrency, performance tuning) Expertise in Apache Spark and Spark Streaming Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures More ❯

edge tools. 🛠️ Tech Stack & What They’re Looking For: Strong hands-on experience with React and TypeScript but other stacks will be considered Deep familiarity with AWS (Lambda, DynamoDB, SQS, SNS, ECS) Proven ability to take product requirements and deliver production-ready systems Background in event-driven architecture and RESTful API design 🌍 Location: London (Hybrid flexibility available) If you More ❯

You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the perfect place to grow. More ❯

is an ideal opportunity to make a lasting impact. Core Responsibilities Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS. Developing and deploying cloud-native applications following microservice design patterns. Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment … with practical experience in deploying, managing and optimising cloud-based applications, ensuring they remain reliable and scalable. More than just EC2 deployments you will be comfortable using ECS, Lambda, SQS, S3, etc. Go/C# - We use Go for all of our core services that require scaling e.g. API’s/load balancers. We use C# for business logic. More ❯

of experience Java 17+ Spring/Spring Boot noSQL - DocumentDB (MongoDB compatible) Gradle Design patterns Sync & async integration patterns (REST, messaging) GIT Nice To Have AWS (Fargate, SNS/SQS) TypeScript Terraform Location This position is hybrid remote, there will be some expectation to visit our sites in either London or Bristol. So you must be within a commutable More ❯

CD pipelines Security-conscious mindset, especially working with financial or sensitive data Clear communicator with a collaborative, product-first approach Desirables: Experience with event-driven architecture and queues (e.g. SQS, Kafka) Previous work with payment platforms, Open Banking, or fintech APIs Understanding of data privacy and compliance (e.g. PCI-DSS, GDPR) Experience in startup or high-growth environments Interest More ❯

with top-tier professionals in front-office trading, risk management, and quantitative analytics . Gain exposure to cutting-edge cloud-based technologies (AWS), containerization (Docker), and messaging systems (SNS, SQS, RabbitMQ) . Immediate opportunities to contribute meaningfully and drive innovation. If you are passionate about building robust, high-performance trading systems and want to work with some of the More ❯

scratch in C#/.NET 8 with a clean, event-driven architecture Help architect a scalable system using CQRS, Event Sourcing, DDD, microservices Own key components in AWS: Lambda, SQS, SNS, DynamoDB, PostgreSQL, API Gateway Work in a test-first, high-trust environment with real autonomy About You You work incredibly hard, really care about your work and take More ❯

implementing scalable solutions to handle high throughput systems including WebSocket APIs and services You have a strong knowledge of queue or stream based messaging systems e.g. Amazon SQS, Kafka You have a good knowledge of both relational and non-relational databases, PostgreSQL and Redis preferred You're highly numerate with strong maths knowledge (numerical computations and algorithms More ❯

implementing scalable solutions to handle high throughput systems including WebSocket APIs and services You have a strong knowledge of queue or stream based messaging systems e.g. Amazon SQS, Kafka You have a good knowledge of both relational and non-relational databases, PostgreSQL and Redis preferred You're highly numerate with strong maths knowledge (numerical computations and algorithms More ❯