AWS Severless Software Engineer III

NBME is a not-for-profit organization specializing in assessments and learning tools for physicians and health professionals. The AWS Serverless Software Engineer will develop, deploy, and support secure, scalable, highly available cloud-native applications for mission-critical exam delivery platforms using AWS serverless and event-driven technologies. The role collaborates across product, architecture, infrastructure, security, and engineering teams in an Agile environment.

Responsibilities:

• Design, develop, test, deploy, and support cloud-native applications that support mission-critical exam delivery platforms
• Develop and enhance event-driven solutions that are secure, scalable, resilient, and cost-effective
• Contribute to technical design discussions, architecture reviews, and solution planning activities under the guidance of senior engineers and architects
• Develop and maintain APIs, integrations, and distributed application components
• Implement Infrastructure as Code (IaC), deployment automation, and operational processes to improve system reliability and efficiency
• Monitor application health, troubleshoot production issues, and contribute to continuous improvement of system performance and operational excellence
• Develop data integration and storage solutions that support business and operational requirements
• Apply security best practices throughout the software development lifecycle
• Collaborate with Product Owners, Architects, Infrastructure, Security, and Engineering teams to deliver high-quality solutions
• Participate in Agile/Scrum ceremonies, code reviews, knowledge sharing, and continuous improvement initiatives
• Maintain technical documentation and contribute to engineering standards and best practices
• Continuously expand AWS cloud, serverless, and software engineering skills through hands-on development, learning, and collaboration with senior engineers

Requirements:

• Hands-on experience with AWS serverless technologies, including AWS Lambda, API Gateway, AppSync, SQS, SNS, EventBridge, Step Functions, DynamoDB, and S3
• Experience developing and supporting event-driven and cloud-native applications
• Strong programming skills in Python, including experience with boto3 and AWS SDKs
• Experience developing RESTful APIs, integrations, and distributed applications
• Experience with Infrastructure as Code (IaC) using AWS CDK, CloudFormation, or Terraform
• Familiarity with CI/CD pipelines and DevOps practices
• Understanding of AWS security best practices, including IAM, Secrets Manager, encryption, authentication, and authorization
• Experience with observability and monitoring tools such as CloudWatch, X-Ray, and CloudTrail
• Experience troubleshooting and supporting applications in cloud environments
• Familiarity with AWS data services including DynamoDB, Aurora/RDS, DocumentDB, S3, Glue, and Athena
• Understanding of scalability, resiliency, reliability, and operational excellence principles
• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills
• Experience working in Agile/Scrum environments
• Ability to work effectively across engineering, architecture, infrastructure, and security teams
• Strong desire to learn new technologies and grow technical expertise
• Commitment to continuous learning and technology innovation
• 4+ years of software development experience, preferably developing cloud-based or distributed applications
• Experience working with AWS cloud services and modern software development practices
• Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent work experience
• AWS Certified Developer – Associate or AWS Certified Solutions Architect certification
• Experience developing enterprise web applications using Java, Spring Boot, JPA, Jakarta EE, or related frameworks
• Experience developing modern web user interfaces using Angular, TypeScript, JavaScript, HTML, and CSS
• Experience using AI-assisted development tools such as GitHub Copilot, Amazon Q, ChatGPT, or similar technologies
• Familiarity with leveraging AI to improve software development lifecycle (SDLC) efficiency, code quality, testing, and developer productivity