Top Remote AWS Jobs

Lead Data Engineer responsible for designing, building, and maintaining secure, scalable data pipelines and platforms. Develop data models, implement backup/recovery and archiving strategies, manage access controls, and apply enterprise-authorized AI to accelerate engineering workflows while validating outputs and protecting data sensitivity.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead technical design, develop and maintain Java/Spring services, deploy on AWS, improve operational stability, mentor teams, evaluate vendors, and drive engineering best practices including CI/CD and security.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions, build data pipelines (Databricks/Spark), drive CI/CD and automated testing, adopt AI-assisted engineering practices, mentor engineers, and collaborate with product and data teams to improve user experience and operational reliability.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns. Own cluster strategy, performance tuning, data ingestion (batch/stream), governance, CI/CD, and secure AWS integrations while driving adoption of AI-assisted engineering practices, reusable libraries, testing, and operational reliability across teams.

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.

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.

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.

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.

Designs, implements, and operates secure, scalable AWS-based AI/ML platforms (Bedrock, SageMaker, Kendra). Builds IaC, CI/CD, containerized inference (EKS/Docker), serverless pipelines (Lambda), monitoring, and governance for production Generative AI, RAG, and agentic workloads while collaborating with data science and engineering teams.

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.

Embed with customers to learn and rebuild critical business functions, then design and ship production GenAI/LLM systems on AWS. Own delivery end-to-end: operator immersion, design, implementation, evaluation, and stakeholder alignment while remaining hands-on in code and cloud-native ops.

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.

Design, build, and operate scalable cloud-based microservices and APIs on AWS using Java and modern DevOps practices. Work in an Agile/Scrum team to implement Spring Boot services, REST/GraphQL APIs, NoSQL/SQL data stores, and containerized deployments (Kubernetes/OpenShift). Use CI/CD (Jenkins, Maven), monitoring (New Relic, Splunk), Apache Camel/ESB, and automated testing. Collaborate with architects, perform code reviews, estimate effort, and ensure services are secure, reliable, and loosely coupled.

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.

Lead the design and maintenance of scalable data pipelines on AWS, collaborating with teams to implement complex data workflows and analytics solutions.

The Cloud Engineer will design scalable cloud solutions, support documentation, and analyze business needs for a federal agency, utilizing AWS and cloud fundamentals.

The Cloud Engineer (AWS) will design and implement cloud solutions, support documentation for processes, and facilitate transitions to operations, focusing on security and performance for a federal agency.

Responsible for supporting documentation for engineering, security, and operational processes of cloud solutions, specifically for federal agencies. Requires strong knowledge of cloud computing fundamentals and AWS.

The Cloud Engineer (AWS) will design and implement cloud solutions for a federal agency, ensuring flexibility, scalability, and security while supporting documentation and operational processes.

The Cloud Engineer (AWS) will design scalable solutions, support documentation for security and operations, and facilitate system transitions for federal projects.

The Cloud Engineer will develop documentation for engineering and operational processes, design scalable solutions, and support cloud migration for a federal agency.

The Cloud Engineer (AWS) will design scalable solutions, support documentation development, perform technical analysis, and ensure operational transition within security protocols for a federal agency.