Top Remote AWS Jobs

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The MSP Sr. Developer leads a team to maintain and improve AWS environments, manage incidents, execute change requests, and mentor junior developers while ensuring operational stability and client satisfaction.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.

Design, build, and maintain scalable AWS-based data pipelines and storage (S3, Redshift, RDS, DynamoDB). Implement IaC (CloudFormation/CDK), ETL optimization, monitoring, security (IAM, OWASP/CIS best practices), and CI/CD/code pipeline controls. Collaborate with product teams, document solutions, and provide training to support analytics and reliable data infrastructure.

Design, build, and support cloud platforms and Kubernetes clusters on AWS/Azure; implement Terraform-based IaC and CI/CD pipelines; lead cloud migrations and modernization of legacy workloads; automate scaling and deployments; monitor and optimize system reliability, security, and cost; collaborate with stakeholders and contribute to runbooks, reviews, and knowledge sharing.

The Senior AWS Engineer coordinates with teams to analyze outages, deploy applications, optimize performance, and automate processes, while maintaining documentation.

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.

As an AWS Data Engineer, collaborate with teams to build data products, write efficient PySpark and SQL queries, and manage project deliveries.

As an AWS MS Engineer, you'll troubleshoot AWS serverless services, maintain client systems, and customize web applications while communicating with clients.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Embed with customers to learn their workflows, design and ship production GenAI/LLM solutions on AWS, build eval suites, operate and iterate systems, and partner with senior stakeholders to drive measurable business outcomes.

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.

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.

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

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

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.

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

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Embed with customers to learn and redesign critical workflows, then build and ship production GenAI/LLM systems on AWS. Own evaluation, deployment, and operational reliability, collaborate with senior stakeholders, and drive measurable business outcomes using Provectus blueprints and agentic tooling.

Design, build, test, and maintain secure, scalable cloud-native full-stack applications for CBP. Develop backend services (Python, Java, Spring Boot), modern Angular frontends, RESTful APIs, and containerized microservices on AWS. Participate in Agile ceremonies, perform code reviews, mentor junior developers, optimize performance, and support SDLC activities to modernize enterprise systems and deliver high-quality software.

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.