• design and evolve core backend services of a cloud-based knowledge platform • develop and refine the query engine responsible for DSL execution • contribute to the design and evolution of domain-specific languages • work with Projectional Editor technology for DSL authoring • design thoughtful abstractions for complex biological data models • break down large research-heavy problems into pragmatic, well-structured increments • maintain a high engineering bar through code reviews and architectural discussions • collaborate with product and research stakeholders on scope, trade-offs, and long-term direction

• Ensure that non-functional requirements such as performance, maintainability, scalability, usability, and reliability are being considered when architecting solutions. • Develop visually appealing front-end website architecture, including translating designer mock-ups and wireframes into front-end code. • Develop and design RESTful services and APIs. • Stay current with the latest developments in web applications and programming languages, including cutting edge software approaches, architecture. • Ensure cross-platform optimization. • Strategize organizational direction on emerging technology platforms. • Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.

• Design and evolve the backend architecture that powers our AI-driven acquisition systems. • Build and maintain scalable, well-designed APIs (FastAPI/Python) serving internal tools and external partners. • Ensure systems are modular, extensible, and built for long-term durability. • Own cloud architecture in GCP/AWS/Digital Ocean (multi-environment, production-grade systems). • Lead Infrastructure-as-Code implementation and environment standardization. • Improve system resilience, monitoring, alerting, and failure recovery patterns. • Drive redundancy and risk mitigation across critical services. • Support orchestration between AI agents, business logic, and partner systems. • Build backend services that enable experimentation, optimization, and real-time decisioning. • Collaborate with Data and Product teams to productionize intelligent workflows. • Design clean abstraction layers over partner APIs. • Support real-time booking, routing, and multi-channel engagement. • Build systems that scale as partner complexity grows. • Set architectural standards and raise the bar for backend engineering. • Mentor engineers and influence long-term technical direction. • Identify and eliminate system bottlenecks before they constrain growth.

• Own and deliver key product features from design through deployment, working closely with design, product, and other stakeholders. • Mentor and support engineers, offering guidance and helping to reinforce high engineering standards across the team. • Collaborate closely with design, product, and cross-functional stakeholders to deliver a user-friendly and engaging product for our customers. • Ship high-performing and resilient APIs that adhere to industry standards and are delightful to use. • Step into a technical lead role on projects as needed, coordinating across functions and guiding execution without formal authority. • Maintain a high standard of quality across our codebase by advocating for cleanliness, readability, speed, testability, and documentation. • Champion software quality, emphasizing readability, reliability, testability, and documentation.