Top Remote AWS Jobs

Develop and maintain secure, scalable data pipelines and production code using AWS, PySpark, Python, and ETL technologies. Extract and transform data, implement quality checks, optimize data processing workflows, support cloud data modernization, and ensure reliable data availability. Collaborate with cross-functional teams, troubleshoot technical issues, automate recurring remediation, and communicate with technical and non-technical stakeholders. The role also involves software testing, operational stability, continuous delivery, and potentially mentoring other engineers.

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

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.

Leads hands-on AWS cloud implementation, governance, modernization, and operations. Provisions infrastructure with Terraform and CloudFormation, builds CI/CD pipelines, develops automation scripts, deploys containerized and serverless applications, and implements monitoring, security, compliance, and FinOps practices. The role supports FedRAMP environments, cloud migrations, incident response, integrations, technical documentation, and multi-cloud expansion across AWS and Azure.

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.

Develop, test, debug, document, deploy, and maintain secure full-stack software solutions using Angular, Java, AWS, REST APIs, microservices, Informatica PowerCenter, and agentic AI. Provide technical leadership, code reviews, coaching, and guidance to a cross-functional agile team. Translate business requirements into designs and acceptance criteria, apply DevSecOps practices, manage project deliverables, and support insurance and financial applications.

Designs, deploys, supports, and optimizes AWS cloud environments for customers. Leads migrations and modernization projects, troubleshoots technical issues, documents architectures, and advises customers throughout implementation and post-sales delivery. Collaborates with architecture, engineering, sales, and delivery teams while managing multiple customer engagements.

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.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Operate and improve AWS-based infrastructure and complex production systems. Build infrastructure as code, containerized deployments, CI/CD pipelines, monitoring, observability, rollback processes, and load-testing practices. Manage Aurora/PostgreSQL reliability, security hardening, vulnerability scanning, compliance evidence, incident response, on-call rotations, and root-cause analysis. Collaborate with clients and teams while supporting secure, multi-tenant environments and audit-sensitive workloads.

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.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.

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.

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.

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.

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.

Designs and operates secure AWS cloud environments, DevSecOps pipelines, infrastructure-as-code, automated security controls, and incident response workflows. Responsibilities include integrating security testing into CI/CD, managing AWS firewalls and virtualized NGFWs, securing containers and Kubernetes workloads, enforcing IAM and compliance controls, monitoring threats, troubleshooting incidents, and automating remediation. The role supports NIWC Atlantic and requires an active Secret clearance, an ABET-accredited engineering degree, and substantial IT, AWS security, DevOps, and network-security experience.

Designs, optimizes, and sustains AWS cloud environments for Marine Corps Systems Command. Responsibilities include infrastructure-as-code automation, cloud networking, troubleshooting, CI/CD, monitoring, containerization, security compliance, documentation, and risk mitigation under federal standards. The engineer collaborates with technical stakeholders, leads automation initiatives, mentors junior engineers, and supports secure, highly available hybrid-cloud environments.