Top Remote AWS Jobs

Own and scale the PostgreSQL and AWS Aurora database layer for a high-volume legal-services platform. Responsibilities include schema and migration review, query and index tuning, production issue diagnosis, lock and replication troubleshooting, database maintenance automation, backup and restore support, access control, and collaboration with infrastructure, software development, and data science teams. The role also supports reporting, billing, PII-sensitive data, and ERP-related data flows.

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Design, develop, and maintain scalable cloud-native backend applications using Node.js, React, and AWS services. Build secure, high-performing solutions supporting federal missions, troubleshoot complex issues, collaborate with cross-functional teams, and contribute to agile development. Responsibilities include working with serverless services, databases, CI/CD tools, and modern JavaScript technologies while delivering high-quality software.

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.

Performs cloud security engineering across AWS and GCP, including system hardening, vulnerability remediation, compliance scanning, cloud operations, security tooling, incident response, and troubleshooting across infrastructure and identity layers. Supports FedRAMP, FISMA, and NIST 800-53 environments, participates in a 24×7 on-call rotation, maintains technical documentation, communicates with customers, and mentors junior engineers.

Build and operate AWS-based data platforms, Java/Spring Boot services, reliable data pipelines, and AI-powered applications. Responsibilities include data ingestion and modeling, predictive ML, generative AI and RAG with Bedrock and OpenSearch, production monitoring, security, CI/CD, infrastructure as code, and integrations with databases, POS, payment, and partner systems.

Designs and operates secure AWS cloud environments through DevSecOps automation, infrastructure as code, CI/CD security testing, firewall and network security, container security, identity controls, and automated incident response. The role manages AWS infrastructure, virtualized next-generation firewalls, compliance guardrails, monitoring, remediation, and hybrid systems while supporting NIWC Atlantic mission requirements.

Develop, enhance, troubleshoot, and maintain public-facing geospatial applications for the USGS National Map. Use JavaScript and AWS technologies to automate cloud-based data workflows, improve scalability, test existing solutions, and resolve technical issues. The role requires software engineering fundamentals, analytical problem-solving, and collaboration while working with existing codebases. Preferred experience includes Python, modern frontend frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies.

Enhance, maintain, troubleshoot, and improve public-facing geospatial applications for the USGS National Map. Develop with JavaScript and support AWS-based cloud data workflows using services such as Lambda, S3, and EC2. Analyze existing code, improve efficiency and scalability, test solutions, and collaborate with technical teams. The role also involves debugging, version control, software testing, and designing maintainable solutions.

Designs and develops enterprise and multitenant SaaS applications using Java, Spring Boot, and AWS. Responsibilities include cloud architecture, REST APIs, databases, infrastructure as code, CI/CD, authentication, tenant provisioning, monitoring, security compliance, and performance improvements. The role collaborates with technical and business stakeholders and supports FedRAMP requirements.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Designs, implements, and manages AWS cloud security policies, architecture, and technologies. The role oversees firewalls, DLP, vulnerability scanning, monitoring, logging, IAM, incident response, compliance, and remediation. It provides security guidance for AWS solutions, supports migrations of mission-critical applications, researches new technologies, documents standards, presents to varied audiences, and mentors less experienced engineers. The position requires strong AWS expertise, infrastructure-as-code proficiency, knowledge of regulated healthcare environments, and experience securing highly available cloud and serverless architectures.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Lead enterprise AWS consulting engagements from architecture through deployment. Design resilient cloud-native, serverless, and containerized solutions; migrate legacy infrastructure; and deliver Generative AI and machine learning workloads using AWS services. Partner with executive stakeholders, build proofs of concept, drive cloud adoption and account growth, mentor engineers and architects, and develop reusable Terraform modules, Well-Architected Review frameworks, and delivery best practices.

Maintain and enhance existing public-facing geospatial applications for the USGS National Map. Develop with JavaScript, troubleshoot and improve code, and support scalable AWS-based data workflows using the AWS SDK, CLI, Lambda, S3, and EC2. Apply software engineering fundamentals, testing, debugging, version control, and analytical problem-solving while collaborating in a technical environment. Python, front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies are preferred.

Develop and maintain public-facing National Map applications for USGS. Responsibilities include improving existing functionality, troubleshooting, JavaScript development, AWS cloud workflow automation, testing, debugging, and scalability improvements. The role requires collaboration, analytical problem-solving, software engineering fundamentals, and experience with AWS SDK, CLI, Lambda, S3, and EC2. Preferred experience includes Python, modern front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies.

Designs, develops, and deploys scalable, resilient backend applications and APIs using TypeScript and AWS cloud services. Responsibilities include managing infrastructure with AWS CDK, working with DynamoDB and Lambda, collaborating with frontend and product teams, writing testable code, participating in code reviews, troubleshooting production issues, and applying AWS best practices.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

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

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.

Build and operate production machine learning training systems on Amazon SageMaker using AWS Trainium. The role focuses on optimizing PyTorch code for Trainium hardware, understanding NeuronCore compilation, diagnosing device-level issues, tuning distributed training for cost and throughput, and delivering production pipelines. The engineer will collaborate directly with client and internal teams in a forward-deployed engineering environment.

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

Owns the technical health, enhancement, and production support of Amazon Connect contact-center capabilities and an intelligent virtual assistant. Designs contact flows, routing, integrations, and conversational experiences; develops serverless AWS integrations; troubleshoots incidents; improves observability, security, release practices, and documentation; and partners with business, operations, product, security, and vendor teams to deliver reliable customer-facing services.