31 to 38 of 38 Amazon SQS Jobs in England

executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.). Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka. Expertise in optimizing SQL queries on PostgreSQL databases. Strong experience with multithreading, data structures, and concurrency scenarios. Proficient in using REST … APIs, XML, JAXB, and JSON in creating layered systems. Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/ ...

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, reliability, and 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 (Prometheus, Grafana, CloudWatch) What You’ll Bring Strong backend engineering experience (Python preferred ...

includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the team and across technical ...

packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. … environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro (role, your goals) Python data task (clean/transform + quick ...

data retrieval. Implement high-performance MongoDB aggregations, indexing, and query tuning. Utilize MongoDB Change Streams for real-time data processing. Use AWS SNS/SQS for asynchronous messaging and workflows. Deploy and manage microservices on AWS ECS. Drive ongoing improvements in performance, reliability, and scalability. Your Profile Essential skills … distributed microservices architecture. Proficiency in microservices design patterns. Strong GraphQL API experience. Deep knowledge of MongoDB: Aggregations, indexing, optimization, and Change Streams. AWS SNS, SQS, ECS hands-on experience. Familiarity with distributed caching systems. Desirable skills/knowledge/experience: Experience with streaming or high-traffic platforms. Exposure ...

with a strong background in C#, .Net core, NoSQL databases, ElasticSearch and with some experience of building asynchronous, event-driven systems in Lambda + SQS, or equivalent patterns. Ideal skills: Experience building systems with real users in production Strong, modern C#/.NET experience in production systems Deep experience … with at least one major cloud platform (AWS preferred; Azure/GCP also relevant) Experience building asynchronous, event-driven systems (e.g. Lambda + SQS, or equivalent patterns) Solid understanding of data modelling across relational and non-relational stores (e.g. SQL, NoSQL, Elasticsearch) Experience applying architectural patterns such as CQRS ...

anomaly detection system built on AWS, ensuring it is robust, scalable and production ready. • Build and maintain serverless components including Lambda functions, Step Functions, SQS queues and DynamoDB tables. • Collaborate with another engineer and work closely with the system’s creator to complete, run and continuously improve the platform. … Experience You will have • Strong commercial experience with Python, writing clean, production‐ready code. • Hands‐on experience with AWS services including Lambda, Step Functions, SQS and DynamoDB. • Ability to work with the core data science stack such as pandas. • Experience contributing to shared codebases and managing releases. • Knowledge ...

efficient, and reliable data pipelines. Key Responsibilities Design, develop, and maintain scalable data pipelines using the AWS data integration stack, including S3, Lambda, EventBridge, SQS, and Step Functions Build and optimize data models and transformations using Snowflake and dbt Core Implement and manage Change Data Capture (CDC) processes using … Contribute to continuous improvement of data engineering practices and standards Required Skills & Experience Strong hands-on experience with AWS data services (S3, Lambda, EventBridge, SQS, Step Functions) Proven experience working with Snowflake in a production environment Solid experience with data transformation tools such as dbt Core Experience implementing Change ...