1 to 25 of 40 Remote Amazon SQS Jobs

reverse-engineer existing codebases; map dependencies and safely refactor • Work with Postgres and DynamoDB; design schemas, queries, and integrations • Integrate messaging and event patterns using Kafka/SNS/SQS • Ship on AWS (e.g., EC2, S3, EKS, OpenSearch/Elasticsearch, KMS, DynamoDB, Route 53, Lambda, CloudWatch/CloudTrail, Glacier) • Containerize and deploy on Kubernetes; implement CI/CD with More ❯

Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with a 3 day More ❯

a collaborative team environment. Essential Skills & Experience: Skilled in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other distributed source More ❯

of HTML/CSS (SCSS), JavaScript and Typescript. Excellent working knowledge of JavaScript libraries and frameworks, in particular, React, Node.js. Professional experience with AWS, in particular, Lambda, S3, eventBridge, SQS and ECS services. Fluent using Git (GitLab). Understanding CI/CD pipelines. and Trunk Based Development. Aware of website performance implications, best practices and other non-functional requirements. More ❯

complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise designing and building with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python A working knowledge of Linux, networking, routing & firewalls etc Strong understand of operational concepts on AWS, particularly monitoring More ❯

Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in an agile environment Hands-on expertise in .NET 8, AWS, SQL More ❯

a microservice architecture Frontend monorepo with Turbo, pnpm, changesets, and storybook, primarily using Vue.js Adoption of TypeScript, NestJS, BullMQ, and Prisma for backends in an opinionated monorepo approach Amazon RDS, DynamoDB, S3 Container orchestration with Kubernetes and CI/CD using GitLab Infrastructure provisioning on AWS using Terraform Leveraging the serverless framework on AWS Lambda for high-throughput More ❯

an Agile and DevOps environment. Excellent communication and documentation skills. Planning, organisation, and time management skills. Strong analytical and problem-solving skills. The nice to haves: Messaging (e.g. RabbitMQ, SQS) Working knowledge of domain-driven design. Docker/Kubernetes and container orchestration tools. Knowledge of design patterns. Test-driven development (TDD). AWS cloud infrastructure/Relevant AWS certifications. More ❯

principles behind highly performing web pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers) and message queues (e.g. RabbitMQ, SQS) Soft skills: Agile/SCRUM/SAFe Strong communication skills, written and verbal Very motivated with high levels of drive and enthusiasm E-commerce and/or financial services More ❯

principles behind highly performing web pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers) and message queues (e.g. RabbitMQ, SQS) Soft skills: Agile/SCRUM/SAFe Strong communication skills, written and verbal Very motivated with high levels of drive and enthusiasm E-commerce and/or financial services More ❯

an Agile and DevOps environment. Excellent communication and documentation skills. Planning, organisation, and time management skills. Strong analytical and problem-solving skills. The nice to haves: Messaging (e.g. RabbitMQ, SQS) Working knowledge of domain-driven design. Docker/Kubernetes and container orchestration tools. Knowledge of design patterns. Test-driven development (TDD). AWS cloud infrastructure/Relevant AWS certifications. More ❯

and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for client operations and external API More ❯

and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external More ❯

and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external More ❯

and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external More ❯

skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development More ❯

collaborative environments and enjoy mentoring and sharing knowledge Adaptable, able to manage multiple projects and evolving priorities. Nice to have: Expertise in AWS services (Lambda, API Gateway, S3, DynamoDB, SQS, SNS) Familiar with messaging systems and event-driven architectures Knowledge with infrastructure as code IaC (Terraform, CloudFormation, AWS CDK) Understanding of CI/CD pipelines and DevOps practices Experience More ❯

Hands-on experience in operations of sizing, monitoring, and management, for Kafka, Logstash, Beats, Kibana, and Elastic Agent You have worked with queuing systems and data streams in production (SQS, ActiveMQ, Kinesis, Kafka or similar) and you are familiar with programming languages such as: PHP and/or Python and/or Java; 4+ years of experience in administering More ❯

End, Eventing and Storage layers. Genesys Software Engineers think through implementation details of scale, security and usability.We write code inJava, Python and JavaScript, and work with many technologies, includingDynamoDB,SQS, Kafka, Jenkins, GIT etc, all onAWS. Key Responsibilities: Your primary responsibilities will include designing, developing and maintaining the runtime engine for bots. You'll work collaboratively across teams to More ❯

back-end (Java, Node.js, Supabase, Postgres) . Responsible for backend architecture, API design, and integration strategy. Implement serverless functions using AWS Lambda for backend microservices. Work with AWS EventBridge, SQS, SES, SNS for messaging and event-driven workflows. Bug fixes, finessing and finishing the project This will be a blue collar project for blue collar workers. Must haves: React More ❯

Bachelor's degree 4 - 6+ years of related technical experience Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML High experience level with back-end programming languages (Java/Spring, Python) Working knowledge with datastores MongoDB … with Agile development methodology Working knowledge with Collaboration tools, such as, Jira and Confluence Preferred Qualifications: Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, Working knowledge with public keys and digital certificates Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG More ❯

source where applicable. Essential Skills and Experience Tech stack: Frontend- Express/Casa/Nunjuks with Typescript Backend- Java/Spring boot with some AWS integration's (SNS/SQS mostly) Data- MongoDB Infra- AWS with terraform for IaC Kubernetes Understanding of Agile and DevOps practices. Strong problem-solving skills with a collaborative, team-first mindset. Experience in automated More ❯

source where applicable. Essential Skills and Experience Tech stack: Frontend- Express/Casa/Nunjuks with Typescript Backend- Java/Spring boot with some AWS integration's (SNS/SQS mostly) Data- MongoDB Infra- AWS with terraform for IaC Kubernetes Understanding of Agile and DevOps practices. Strong problem-solving skills with a collaborative, team-first mindset. Experience in automated More ❯

LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning More ❯

LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning More ❯