• Develop and maintain end-to-end web applications using Java for the backend and modern frameworks such as React for the frontend. • Build highly responsive user interfaces that integrate seamlessly with backend systems. • Implement and maintain Kafka for building scalable and decoupled event-driven systems. • Design and manage RESTful APIs, ensuring smooth interaction between frontend applications and third-party services. • Collaborate with Product Managers, QA engineers, and other team members to deliver high-quality software solutions. • Contribute to the entire software development lifecycle, from concept and design to testing, deployment, and maintenance. • Participate in code reviews and provide constructive feedback to peers. • Ensure code quality and application performance through effective unit testing and performance optimization.

• 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.