Top AWS Engineer Jobs in Boston, MA

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.

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.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

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.

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.

Support AWS application migrations and modernization for scientific computing platforms. Build and manage cloud infrastructure using CloudOps, IaC, containers, and AWS services including EC2, RDS, S3, ECS/EKS, Glue, EMR, and Athena. Troubleshoot operational issues, restore services, ensure security and regulatory compliance, and transition modernized services to operations teams. The role also contributes to cloud architecture, roadmaps, documentation, and infrastructure best practices for Life Sciences customers.

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.

Join an elite engineering team to develop massive data processing systems using Core Java and AWS, focusing on Big Data and performance optimization.

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.

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.

Develop and maintain AWS cloud-based, serverless applications to process and manage emergency communications. Build and support production AWS environments, implement CI/CD, monitor and troubleshoot services, participate in design and code reviews, and collaborate with cross-functional teams including mobile and hardware developers.

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.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

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.