Top Remote AWS Jobs

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS 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.

Develops, tests, documents, maintains, and enhances software solutions using established design principles and development practices. The role addresses defects, security vulnerabilities, and performance improvements; participates in requirements analysis, planning, and user story development; documents standards and changes; and collaborates with and mentors software engineers. Work involves .NET technologies, source control, software development lifecycle practices, and potentially Azure or AWS cloud development.

Develops, tests, documents, enhances, and maintains software solutions using established design principles and technical standards. Reviews systems, resolves defects, remediates security vulnerabilities, improves performance, analyzes user stories, and implements business solutions. Participates in software development processes, stays current with technology, mentors engineers, and helps plan and prioritize team development work.

Develop and maintain software solutions across the full development lifecycle, including design, coding, testing, documentation, system enhancements, security remediation, performance improvements, and user story analysis. Collaborate with development teams to solve business problems using .NET technologies and software engineering best practices. Participate in Agile or Lean processes, document changes, and maintain current knowledge of tools, technologies, and industry standards.

Lead the modernization of a healthcare data platform from an MSSQL XML object store to a scalable AWS architecture. Evaluate AWS storage and query services, design SQL reporting layers, architect data migration and metadata strategies, optimize performance and cost, and build CI/CD and infrastructure-as-code pipelines. Partner with business stakeholders, analysts, and C#/.NET engineers to deliver accessible data models and reliable integrations. Document architecture, data flows, and migration processes while supporting healthcare data and compliance requirements.

Design, develop, and maintain scalable cloud-native backend applications using Node.js, React, and AWS services. Collaborate with cross-functional teams to support federal missions, troubleshoot complex issues, identify root causes, and deliver secure, high-performing solutions. The role also involves relational database and DynamoDB work, agile development, CI/CD practices, and adapting to new technologies.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Implement and support AWS cloud infrastructure, platform services, and Infrastructure as Code with Terraform. Build CI/CD pipelines using GitHub Actions, administer AWS services including EKS, Lambda, S3, IAM, CloudWatch, and VPC, and automate provisioning, monitoring, and maintenance. Troubleshoot incidents, optimize performance, monitor platform health, collaborate on secure scalable solutions, and maintain technical documentation. The role is fully remote, requires U.S. citizenship, and may involve periodic travel and after-hours mission-critical support.

Designs and operates an AWS-native lakehouse supporting analytics, reporting, visualization, and AI/ML. Builds batch and streaming ingestion pipelines using Python and PySpark, Apache Iceberg data structures, governance and metadata services, quality controls, security, observability, and CI/CD automation. Optimizes performance, scalability, reliability, and cost while collaborating with cross-functional technical teams and documenting architecture, operations, and secure configurations.

Design, build, and lead AWS-based contact center solutions (Amazon Connect, Salesforce Service Cloud Voice). Develop integrations, implement CloudFormation/Lambda, apply IaC and CI/CD, perform code reviews, provide technical advisory, documentation and training, and ensure secure, scalable architectures.

Design, configure, develop, test, and support scalable Salesforce solutions for federal clients. Build Apex and Lightning Web Components functionality, configure Salesforce security and workflows, and integrate Salesforce with external systems and AWS services. Gather requirements, support release planning, troubleshoot technical issues, participate in CI/CD and DevOps, and ensure compliance with federal security and governance requirements. Collaborate with government stakeholders, cloud engineers, QA, and business analysts while producing technical documentation and briefings.

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

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.

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.

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.

Manage and optimize cloud security posture across GCP and AWS, triage and remediate alerts/vulnerabilities, harden Kubernetes environments, implement secure baselines and guardrails, support secure AI/LLM integrations, produce compliance evidence, and participate in cloud incident response.

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.

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.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

Design and implement cloud-native AI/ML solutions on AWS. Build LLM and RAG architectures using Transformers, PyTorch, TensorFlow, LangChain. Develop in Python and Golang, contribute to open-source projects, and apply AWS services (Bedrock, SageMaker, ECS, Lambda).