• Design, build, and maintain Ruby on Rails applications used in production • Own features end-to-end, from implementation and testing to deployment and iteration • Write clean, maintainable, and well-tested code • Build and evolve RESTful APIs that support frontend and integrations • Implement and maintain background jobs and async workflows • Debug production issues and improve system reliability • Collaborate asynchronously with product, design, and other stakeholders • Continuously improve performance, security, and developer experience • Contribute to technical discussions, trade-offs, and best practices • Balance new feature development with long-term maintainability

• Own and evolve the backend architecture for serverless, event-driven systems built on AWS Lambda, API Gateway, DynamoDB, and EventBridge. • Define and enforce architectural standards, reference patterns, and best practices aligned with AWS Well-Architected principles. • Lead architectural reviews, design discussions, and trade-off analyses across teams. • Serve as a technical authority and mentor for senior and mid-level engineers. • Design and oversee GraphQL API architectures using TypeScript, with a focus on schema governance, versioning, and long-term maintainability. • Guide data modeling strategies, including DynamoDB single-table design, access patterns, and scalability considerations. • Establish resilient, observable, and fault-tolerant systems with clear SLOs and recovery strategies. • Drive Infrastructure as Code practices using AWS CDK, enabling repeatable, auditable environments. • Embed monitoring, logging, alerting, and automated remediation into system designs. • Lead root cause analysis for complex production incidents and drive systemic fixes. • Partner with DevOps and product stakeholders to improve deployment safety, release velocity, and operational maturity. • Architect systems with defense-in-depth security, least-privilege access, and compliance-aware designs. • Continuously assess and improve system performance, scalability, and cost efficiency. • Ensure designs are aligned with regulatory and compliance requirements where applicable (e.g., FedRAMP). • Work cross-functionally with product, frontend, and platform teams to translate business requirements into durable technical solutions. • Influence roadmap decisions by clearly articulating technical risks, constraints, and long-term implications. • Contribute to engineering culture through thoughtful code reviews, architectural documentation, and continuous improvement initiatives.

• Build clean, scalable, and reliable solutions that support data-driven and AI-enabled environments • Develop and maintain clean, well-structured Python code with strong documentation and unit testing • Deploy, troubleshoot, and optimize applications in cloud environments using Docker and Kubernetes • Support and enhance CI/CD pipelines, improve automation, and deployment workflows • Collaborate with cross-functional teams, including scientists, data engineers, and ML engineers, to operationalize AI and analytical tools • Participate in code reviews, design discussions, and architectural improvements • Ensure reliability, performance, and scalability across production systems and services.

• Lead the design and development of secure, resilient, and scalable cloud environments • Collaborate with cross-functional teams to implement cloud architecture and API management best practices • Ensure high-quality deliveries that meet client expectations • Drive technical decisions and raise the team's standards • Foster a culture of innovation and continuous improvement • Translate business requirements into effective technical solutions in collaboration with teams • Guide development teams in implementing best practices • Maintain technical relationships with stakeholders