226 to 250 of 443 Amazon SQS Jobs

backend development. Language preferably Go; if not Java or Python. Worked with SQL, Docker/Kubernetes, Postgres and AWS. Worked with at least one messaging solution: Kafka, RabbitMQ, AWS SQS or SNS. Some commercial experience with frontend development . JavaScript and TypeScript, and when it comes to frameworks, preferably Vue, React or Angular. A desire to deeply understand our More ❯

pipelines • Familiarity with 3D concepts, tools, and software such as Blender and Unity • Strong expertise in typescript and with the React framework • Understanding of AWS services including Lambda, S3, SQS and Code Artifact • Moderate understanding of web components, npm artifacts and the Rollup plugin API • Understanding of popular CAD systems such as Solidworks, PTC Creo and AutoDesk Inventor • Understanding More ❯

processing and reporting systems that power our analytics platform. Responsibilities: Design and implement scalable data pipelines for processing and transforming large volumes of exam data using Java, AWS Lambda, SQS, EventBridge and other AWS technologies. Develop and optimize data storage and retrieval systems, ensuring data integrity and accuracy. Implement monitoring and alerting for data processing systems to ensure reliability More ❯

processing and reporting systems that power our analytics platform. Responsibilities: Design and implement scalable data pipelines for processing and transforming large volumes of exam data using Java, AWS Lambda, SQS, EventBridge and other AWS technologies. Develop and optimize data storage and retrieval systems, ensuring data integrity and accuracy. Implement monitoring and alerting for data processing systems to ensure reliability More ❯

processing and reporting systems that power our analytics platform. Responsibilities: Design and implement scalable data pipelines for processing and transforming large volumes of exam data using Java, AWS Lambda, SQS, EventBridge and other AWS technologies. Develop and optimize data storage and retrieval systems, ensuring data integrity and accuracy. Implement monitoring and alerting for data processing systems to ensure reliability More ❯

methodologies and CI/CD pipelines as well as automated testing. Experience with stateful and stateless game server architectures. Bonus Points Familiarity with messaging systems such as RabbitMQ, AWS SQS, Redis Streams. Experience working with AWS services like EC2, ECR, RDS, S3, and IAM. Knowledge of Infrastructure-as-Code (IaC) and experience with Terraform for managing infrastructure deployment. Understanding More ❯

processing and reporting systems that power our analytics platform. Responsibilities: Design and implement scalable data pipelines for processing and transforming large volumes of exam data using Java, AWS Lambda, SQS, EventBridge and other AWS technologies. Develop and optimize data storage and retrieval systems, ensuring data integrity and accuracy. Implement monitoring and alerting for data processing systems to ensure reliability More ❯

take ownership You are organised and can be relied upon to get things done Our Tech Stack Java 23 Spring Boot AWS (RDS, Fargate, S3, KMS, IAM, VPC, Kinesis, SQS, SNS) IaC with Terraform CI/CD with Teamcity Docker Observability with Datadog and Sentry Perks of the job Flexible working: Spend 3 days a week with your team More ❯

experience with developing software testing suites using popular testing framework like Junit, TestNg, Selenium, Mockito, etc - 2+ years of building and maintaining cloud computing infrastructure experience, mainly Native AWS (SQS, Lambda, DynamoDb, Step Functions, Kinesis, etc) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation …/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr More ❯

To This Role: Demonstrable experience working in PHP, JavaScript (Node.js +cross-browser frontend), MySQL, HTML & CSS/SCSS A solid understanding of cloud-based architecture (especially within AWS- Lambda, SQS, EC2, RDS, and more) Experience integrating payment-related APIs (Stripe, PayPal, Braintree, etc.) Comfortable working with PHP and Node-based SDKs (AWS SDK, Slack SDK, etc.) Used Ansible for More ❯

or equivalent advantageous To be considered for the Full Stack developer , you must have: At least 2 years of cloud experience in AWS is essential AWS Lambda DynamoDB SNS & SQS S3 Experience with integrating databases/services on premise with the cloud required Optional Skills: AWS API Gateway AWS Cognito CloudFront CI/CD experience ECS/EKS/ More ❯

applications using Java • Create and maintain frontend applications using TypeScript/JavaScript • Implement pub/sub architectures to enable asynchronous communication among AWS services such as Amazon SQS, Lambda, and Amazon S3 • Design and develop microservices to support scalable and efficient software solutions • Collaborate with cross-functional teams to ensure seamless integration and deployment of More ❯

source technologies and not reinventing the wheel if we can’t add any value Our tech stack is built of strongly typed TypeScript, Next.js + React.js, Nest.js, PostgreSQL and SQS Our production services run on AWS and Vercel. We automate infrastructure and configuration using Pulumi and Github Actions Our observability stack is built up of Cloudwatch, Grafana and Sentry More ❯

driven systems, micro-frontends, and microservices Ability to partner and lead internal and external technology resources in solving complex business needs Experience in cloud services including AWS EC2, S3, SQS, Lambda, RDS, and Grafana Knowledge of web security practices, including XSS, CSRF, and secure coding standards Advanced communication and customer service skills, with strong interpersonal, communication, and presentation abilities More ❯

leadership to a team working in a resilient and scalable microservices' environment – our API event-based services layer is built mainly on the AWS Serverless stack – Lambda, API Gateway, SQS, SNS, Kinesis and DynamoDB. In depth understanding of modern CI/CD and engineering tooling – we use Amazon Web Services, GitHub Actions and Terraform extensively Extensive experience More ❯

AWS) and previous experience with Infrastructure as Code. Excellent collaboration skills, with the ability to work effectively with internal teams and external stakeholders. Technologies we use Golang AWS (Lambda, SQS, EventBridge, DynamoDB, RDS, CDK, OpenSearch) Github, Github Actions Prometheus, Grafana Event-driven architecture and domain-driven design How we reward our team Dynamic working environment with a diverse and More ❯

Java. Combined with this, the experience of the common frameworks used within the programming languages ecosystem Significant experience with AWS and IaC and services such as Kinesis, S3, IAM, SQS, Lambda and S3 Line management experience Able to work on own initiative, self-motivated, and time efficiently Able to communicate technical solutions/issues to technical and non-technical More ❯

Infrastructure as Code - Terraform, AWS CDK Source Code Management and CI/CD - GitLab, Snyk Observability - DataDog, Airbrake Cloud-native infrastructure in AWS - ECS, Lambda, Step Functions, SNS/SQS, Transit Gateway, Aurora, DynamoDB, CloudFront, S3, AppSync, API Gateway, and many more. Responsibilities: Work with other Site Reliability Engineers to build highly scalable and resilient applications and infrastructure in More ❯

Infrastructure as Code - Terraform, AWS CDK Source Code Management and CI/CD - GitLab, Snyk Observability - DataDog, Airbrake Cloud-native infrastructure in AWS - ECS, Lambda, Step Functions, SNS/SQS, Transit Gateway, Aurora, DynamoDB, CloudFront, S3, AppSync, API Gateway, and many more. Responsibilities: Work with other Site Reliability Engineers to build highly scalable and resilient applications and infrastructure in 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 ❯

Java/JEE programs. - A minimum of 3 years of experience on DocuSign API integration using WebHooks - A minimum of 3 years of experience on AWS leveraging Serverless Lambda, SQS/SNS and API Gateway, AWS WAF, AWS Secrets Manager, IAM and DynamoDB - A minimum of 5 years of Java development experience with complex, large-scale applications using the … is required: Java/J2EE, HTML/CSS,JavaScript, SQL. Required 5 Years Java/J2EE development experienceDocuSign API integration using WebHooks Required 3 Years AWS leveraging Serverless Lambda, SQS/SNS and API Gateway, AWS WAF, AWS Secrets Manager, IAM and DynamoDB Required 3 Years SOAP & REST Web Services, Spring, JDBC, JPA/Hibernate, and JMS. Required 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 ❯

of major brands. Skills, Knowledge & Experience: Commercial back-end development experience using Node JS Experience running production loads on AWS ECS Knowledge of key AWS services including ECS, S3, SQS, SMS, Cloudfront Experience using Terraform for environment setup and configuration Beneficial but Not Essential: Elastic Search DevOps/CICD experience with Jenkins or similar #J-18808-Ljbffr More ❯

programming skills in Java (multithreading, concurrency, performance tuning) Deep experience with Apache Spark and Spark Streaming Proficiency with AWS services, ideally including tools such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on with Python, especially in data handling (pandas, scikit-learn, etc.) Familiarity with RESTful web services and event-driven More ❯

recent graduate or up to 2 years of experience) to help accelerate client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central to how the team works. You'll work closely with More ❯