• Design, develop, and deliver high-quality software iteratively and incrementally. • Take ownership of key components and services—from hands-on coding to deployment and monitoring. • Participate in technical design discussions and contribute architectural insights, working with senior leaders to shape solutions. • Ensure software follows modern engineering practices, including clean code, testing, automation, and cloud-native patterns. • Support continuous improvement in code quality, reliability, performance, and developer experience. • Translate business requirements into clear technical tasks and help validate assumptions and approaches. • Build and enhance distributed, event-driven, and cloud-native solutions in AWS. • Apply cloud best practices—security, cost awareness, performance, and operational efficiency—under guidance of senior engineers. • Contribute to observability through metrics, logging, tracing, dashboards, and alerts. • Assist in performance tuning, resiliency improvements, and troubleshooting production issues to ensure system stability. • Mentor and support junior engineers through pairing, code reviews, and knowledge sharing. • Collaborate effectively with Product, Architecture, InfoSec, and DevOps to deliver well-aligned solutions. • Build strong working relationships within the engineering and product teams.

• Contribute to the design and development of cloud infrastructure and data pipelines to support facility operations and analytics • Contribute to cross-functional projects and development efforts to support our AI lifecycle and ML platform.

• Collaborative Development: Work closely with the Director, Data Scientist, Full-Stack Developer, and Platform Engineer to understand project requirements and contribute to the development of AI-based products. Contribute to the vision and execution of product architecture, UI/UX designs, infrastructure deployment, and ensuring high-quality work output. • Nonprofit Consultation Support: Contribute to consultations with nonprofit partners exploring data and technology solutions. The ability to explain technical concepts with empathy and clarity is critical, as this role helps equip partners with the tools and knowledge to succeed. • Product Integration: Contribute to the design, development, and deployment of full-stack applications for cloud-based solutions that align with the rapid prototyping development approach, under the guidance of senior team members, with increasing ownership over time. Collaborate with the team to integrate ML model predictions into user-friendly interfaces, ensuring the reliability, safety, and scalability of the end products. • User-Centric Design: Implement intuitive user interfaces for AI-backed web and mobile applications. Understand end-user needs and requirements to design and develop applications that effectively address challenges within the social good sector. Prototype, test, and iterate on full-stack solutions, incorporating user feedback for continuous improvement. • Cross-Functional Collaboration: Collaborate with team members to address communication, outreach, and resource needs related to front-end and mobile development. Ensure effective communication with cross-functional teams, contributing to the success of AI products. • Learning & Growth: Seek and incorporate feedback through code reviews and pair programming. Grow familiarity with cloud infrastructure, deployment workflows, and system design. Build confidence working across the full stack over time, with mentorship and support.

• Develop high-quality features, tools, and integrations that help customers smoothly adopt Dagster, including tools for migrations and seamless integrations with databases, ETL tools, and cloud services. • Work directly with users to understand challenges and translate feedback into actionable improvements. Partner with engineering teams to deliver practical solutions that align with real-world requirements. • Proactively identify and address opportunities for enhancement—be it in code quality, user documentation, or overall performance—and lead initiatives to make these improvements happen. • Improve and maintain critical systems that support Enterprise requirements.