76 to 100 of 153 Amazon SQS Jobs in the UK

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 ...

with Vue.js, React or modern Angular You have a good knowledge of SQL and relational databases You have production experience with AWS, ideally including SQS, DynamoDB, S3, ECS and Lambda You have experience owning CI/CD and release processes, such as GitHub Actions You have hands-on experience ...

with React, Angular, or Node.js, with the ability to move between frontend and backend as needed. Has experience architecting on AWS (specifically Lambda, DynamoDB, SQS, and CloudFormation) or a proven "hungry to learn" mindset regarding serverless infrastructure. Is disciplined towards best practice version control, CI/CD and code ...

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 ...

Agile software delivery Experience working with Git Experience with some of the following technologies would be advantageous AWS & Cloud AWS Lambda API Gateway SQS S3 KMS CloudWatch X-Ray ECS/Fargate ECR EKS Infrastructure & DevOps Terraform Docker Databases MongoDB Amazon DocumentDB Messaging & Monitoring Kafka Confluent Schema ...

ecosystem and basic DevOps practices.* Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon SQS).* Think in terms of business and product impact, not only implementation.* Demonstrate eagerness to learn and share knowledge with others.* Show independence, ambition ...

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 ...

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 ...

such as APIs, feeds and web data. A methodical approach to data quality and testing. Desirable Experience running workloads on AWS (e.g. ECS, Lambda, SQS, S3). Experience with entity matching or record linkage. Familiarity with pharmaceutical or clinical trial data. In addition to a rewarding career, we support ...

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 ...

Desirable Experience or familiarity with communication technologies such as Web API and Google Protocol Buffers. Experience with message queues such as RabbitMQ or Amazon SQS. Experience working in e-commerce or financial services. How you work Technical capability is important, but so is how you work with ...

pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers) and message queues (e.g. RabbitMQ, SQS) Agile/SCRUM/SAFe Strong communication skills, written and verbal Very motivated with high levels of drive and enthusiasm E-commerce and/ ...

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 ...