Top Remote AWS Jobs

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an AWS Developer, you will design and implement cloud solutions using AWS services, Java development, and web technologies while adhering to enterprise standards.

The Sr. AWS Developer designs and implements AWS solutions for contact centers, leading projects, collaborating with architects, and ensuring best practices.

Design, implement, and optimize AWS cloud solutions; build and maintain CI/CD pipelines; implement Infrastructure as Code (Terraform/CloudFormation); support application modernization and refactoring for cloud; troubleshoot for cost, reliability, and scalability; partner with clients and cross-functional teams and mentor colleagues while integrating AI tools into workflows.

Lead development and implement enterprise-scale AWS contact center solutions using Amazon Connect and Salesforce Service Cloud Voice. Collaborate with architects to design integrations, develop code (Python/JavaScript/other), enforce best practices, perform code reviews, deliver technical training and documentation, and guide teams through CI/CD and infrastructure-as-code implementations.

Lead design and delivery of scalable Amazon Connect voice and chat solutions. Build Lambda-based integrations, integrate Lex bots and external systems, optimize routing/queues, ensure high availability and monitoring, lead production support, RCA, and continuous improvement for contact center platforms.

Design, implement, and manage scalable AWS cloud infrastructure and applications. Build ETL/data integration workflows, IaC (CloudFormation/Terraform), CI/CD pipelines, and ensure security, performance, and reliability. Monitor, troubleshoot, and integrate with external APIs while collaborating with cross-functional teams and following AWS best practices.

The Sr. AWS Developer implements complex solution designs using AWS architectures and leads development teams to enhance contact center solutions, primarily leveraging Amazon Connect.

The AWS Data Engineer will work on a data cleansing and harmonization project, focusing on AWS ETL design and development using various AWS services.

The role involves implementing AWS architectures and data science initiatives, providing technical support, and consulting on architecture design and development.

Mid-level data engineer to design and implement data migration and integration pipelines using AWS DMS and Debezium, migrating on‑prem RDBMS (Oracle) to cloud PostgreSQL. Build transformations with AWS Glue and Lambda, analyze DB objects to guide migration, support event-driven exchanges, and integrate GovCloud security controls (IAM, encryption). Collaborate with senior engineers, architects, and data modelers in design sessions and workshops.

Lead and code fullstack features for the EVV team, provide technical leadership and mentoring, design and execute automated tests, monitor and troubleshoot production, contribute to product technical roadmap, and leverage AI-assisted development tools.

Design, build, and support secure, high-availability cloud environments on AWS/Azure/GCP. Implement landing zones, networking, IAM and security baselines; provision compute, storage, and databases with IaC; build CI/CD and DevSecOps pipelines; containerize and orchestrate applications; implement observability and SRE practices; produce FinOps reports and design documentation; support serverless and event-driven architectures.

The Senior AWS Cloud Engineer will design and support AWS architecture, optimize cloud performance, assist development teams, and ensure compliance and security in cloud operations.

As a Senior Full Stack Developer at Capnexus, you'll design and build a cloud-native subcontractor pre-qualification platform using AWS, incorporating AI and modern frontend/backend technologies, ensuring seamless integration and deployment.

This role involves full stack development, mentoring junior developers, participating in agile practices, and leading cross-functional teams on software projects.

Design, build, and optimize scalable AWS data pipelines and serverless solutions for utilities datasets. Orchestrate workflows (Step Functions/Airflow), implement ETL/ELT with PySpark/Python, model data for analytics, ensure performance, reliability, security, and compliance while collaborating with cross-functional stakeholders.

Rewrite and modernize a legacy application using AWS-native services and modern web frameworks. Design and maintain backend APIs, implement microservices, ensure data integrity, perform code reviews, and deploy via GitLab CI/CD. Support security remediation and collaborate on architecture and re-engineering efforts.

Re-engineer a legacy application to modern web frameworks using React/Next.js and TypeScript. Design and maintain AWS-based solutions, custom APIs, and microservices. Use CloudFormation, AWS SDK, NestJS, and Prisma; implement CI/CD with GitLab, participate in code reviews, and remediate code vulnerabilities.

The AWS Software Developer will build and deploy solutions in AWS, focusing on improving project delivery processes and providing technical support to clients. Responsibilities include coding, system design conversations, and learning new AWS tools and languages.

This role involves designing and optimizing CI/CD pipelines, managing cloud infrastructure, and supporting DevOps operations while contributing to application development.

Develop and implement microservices using AWS and Node.js, manage APIs, participate in application support, and follow Agile practices.

Lead and oversee full stack applications for Yahoo Search, ensuring architectural integrity and code quality while mentoring engineers and collaborating with cross-functional teams.

Design, deploy, and optimize cloud-native ML systems on AWS, integrate foundation models (Bedrock/Anthropic), build and monitor SageMaker pipelines and data pipelines, detect drift, extend ML infra and libraries, and collaborate cross-functionally to deliver secure, cost-efficient production ML services.

As an AWS Data Engineer, you will develop data pipelines, create data models, troubleshoot issues, and collaborate with teams while utilizing tools like PySpark and SQL.