Top Remote AWS Jobs

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 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.

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.

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

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 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.

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.

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.

Build and scale production-grade AI and generative AI systems on AWS, including LLM applications, RAG pipelines, machine learning models, data pipelines, APIs, and MLOps workflows. Deploy, monitor, version, and retrain models while implementing responsible AI guardrails, governance, security, and compliance. Provide technical mentorship and collaborate with architects and business teams across insurance platforms.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions. Mentor engineers, improve CI/CD and testing, build Databricks/Spark data pipelines, apply event-driven patterns (Kafka), and govern enterprise AI-assisted development practices to ensure secure, resilient, and cost-effective production systems.

Designs and implements AWS data and analytics solutions for customer cloud journeys, including data lakes, ingestion frameworks, orchestration, storage, governance, security, and monitoring. Advises customers on AWS services and architecture, develops automation tools and technical content, supports reference implementations, and contributes customer feedback to technology roadmaps. The role also supports thought leadership through blogs and case studies while collaborating closely with internal teams and customer stakeholders.

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.

Architect AWS infrastructure and Infrastructure-as-Code solutions supporting a RHEL 7-to-RHEL 8 migration across GovCloud environments. Design AWS accounts, VPCs, EC2, RDS, secure integrations, reusable Terraform and CloudFormation templates, and CI/CD automation. Provide technical direction, lead architecture and design reviews, incorporate security scanning and compliance requirements, define migration validation strategies, and coordinate with federal stakeholders and delivery teams.

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.

Design, develop, and support scalable cloud-based full-stack applications using React and .NET. Build AWS Lambda serverless services, develop APIs and backend services, and contribute to architecture, code reviews, testing, and production support. Collaborate remotely with product, engineering, and technical teams while applying modern software development practices.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.

Designs, operates, and scales AWS and Databricks infrastructure across multi-account environments. Responsibilities include AWS networking, Terraform automation, CI/CD pipelines, EKS/Kubernetes operations, enterprise data integrations, observability, incident response, governance, and platform optimization. The role supports production-grade data workloads and requires strong expertise in cloud architecture, networking, infrastructure as code, operational excellence, and distributed data platforms.

Design, build, secure, automate, and operate AWS cloud platforms supporting large-scale modernization. Develop CI/CD pipelines, Infrastructure as Code, containerized deployments, security scanning, secrets management, observability, release automation, and operational readiness capabilities. Troubleshoot distributed cloud environments, establish reusable platform patterns, and collaborate with engineering, architecture, security, vendors, and federal stakeholders to meet scalability, compliance, resilience, and governance requirements.

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.

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.

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.