26 to 50 of 75 Amazon SQS Jobs in London

with product and operations, and challenge ideas constructively Core skills: Strong commercial experience with Node.js and TypeScript Hands-on AWS experience, including serverless (Lambda, SQS, EventBridge, API Gateway, S3, ECS) Strong experience with event-driven architecture Experience with document databases, ideally MongoDB A track record of leading technical delivery ...

Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager Salary ...

teams. Particularly relevant AWS experience Experience across some of the following would be highly beneficial: AWS Lambda ECS or EKS API Gateway SNS and SQS EventBridge IAM CloudWatch Serverless and event-driven architectures Desirable experience Stronger Python backend development using FastAPI or Flask. Kubernetes or Amazon EKS. ...

prefer short feedback loops to polished first attempts. We build the smallest thing that works. Stack: Python (Flask), Postgres, Celery and AWS (ECS, Lambda, SQS) on the backend; React and TypeScript across web and mobile; GitHub Actions for CI/CD. Experience with our stack helps ...

design An understanding of full stack development A working knowledge of Git NICE TO HAVE: Go Redis and/or Memcached Node.JS AWS experience (SQS, EC2, S3, SES, CloudFront, ELB, DynamoDB) Microservice solutions Debugging tools (e.g. XDebug) Additional Information WORK PERKS: Working alongside talented, passionate people who live ...

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 ...

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 Interview Process Intro call ...

integration solutions, and large-scale data processing architectures. Experience architecting, provisioning, and managing production infrastructure on AWS, including services such as ECS Fargate, Lambda, SQS, and related cloud-native technologies. Experience defining cloud architecture programmatically using Infrastructure-as-Code (IaC) tools such as AWS CDK or Terraform. #J ...

agent-based workflows Developing prompt orchestration, output validation and AI evaluation capabilities Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing CI/CD pipelines, automation and DevOps practices Integrating AI services with enterprise security and observability frameworks Collaborating with architects and engineering teams ...

culture with a strong emphasis on ownership, experimentation, and continuous improvement. Frontend : React, TypeScript, Storybook Backend: Python (Django) Infrastructure: AWS, Docker, ECS, PostgreSQL, Redis, SQS, SNS Tooling & Delivery :GitHub, GitHub Actions, CI/CD pipelines Testing: Strong focus on unit, integration, and end-to-end testing using tools such ...

What we’re looking for Essential A deep understanding of AWS, evidenced by owning production infrastructure across multiple services (EC2 | ECS | RDS | Lambda | VPC | SQS). Infrastructure as code as your default, with experience maintaining a Terraform estate. Real depth with relational databases: schema migrations, failovers, upgrades and performance ...

data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing ...

production experience with Java, SpringBoot, MySQL, Message System & GIT. Has worked with Domain Driven Design, and Clean, or Hexagonal Architecture. Knowledge of AWS services (SQS, SNS, S3...), ElasticSearch, Redis, Docker, Kubernetes. Experience with Restful APIs. Experience with building scalable solutions. Enjoys actively participating in a cross-functional product team. ...

data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing ...

data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/Openshift) Testing ...

building scalable microfrontends and APIs while collaborating with product teams and customers to shape delivery. You will use AWS services (ECS/Fargate, Lambda, SQS, DynamoDB, DocumentDB) and explore AI coding agents to accelerate velocity, ensuring high quality through robust design and testing #J-18808-Ljbffr ...

orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing CI/CD pipelines, automation and reusable microservices Supporting LLM benchmarking, performance monitoring and cost optimisation Integrating AI services with enterprise security ...

orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing CI/CD pipelines, automation and reusable microservices Supporting LLM benchmarking, performance monitoring and cost optimisation Integrating AI services with enterprise security ...

Backend and Data Pipelines Build and maintain the services that bots hand work to: queues, webhooks, ingestion APIs and sync workers on AWS (Lambda, SQS, S3, EventBridge) and Supabase (PostgreSQL). Design for the messy reality of automation: duplicate submissions, retries, partial failures, outages at a single practice ...

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 Benefits Dynamic ...

engineering quality, automation, and operational excellence. Our core technologies include: Backend: Python (primarily Django) Infrastructure: AWS, Docker, ECS Data: PostgreSQL, Redis, Snowflake Messaging: SQS, SNS CI/CD: GitHub Actions Testing: Strong focus on automated unit and integration testing Strong Engineering Fundamentals: Proven experience building production web applications using ...

engineer Strong understanding of Node.js and TypeScript Strong understanding of modern web application development (APIs, Services, Architecture, Security) Experience with distributed messaging systems (SQS, RabbitMQ, Kafka, etc.) Experience with event-driven, micro-service architecture A self-starter able to independently gain knowledge and use new frameworks Comfortable using ...

with different blockchain technologies is a plus Experience with a SaaS or FinTech company Technologies we use: AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium #J-18808-Ljbffr ...

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 ...

understanding of IAM, cloud networking, and security best practices. Preferred & Nice-to-Haves: Experience with ECS, container orchestration, and distributed task queues (Celery/SQS). Strong Python skills. Familiarity with the Datadog/Grafana observability stack. A background in offensive security, CTFs, or AI/ML infrastructure. What ...