Hi, I'm Justin Soll - Software Engineer at Google
I am a software engineer driven by the challenge of making complex systems reliable and efficient. I thrive in environments where academic rigor meets large-scale production, constantly refining my craft.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Advanced the understanding of data-driven research through early work at the Center for Translational Data Science.
Currently architecting and maintaining production-level software infrastructure at Google.
Offers expertise in scaling backend systems and applying rigorous analytical frameworks to complex engineering challenges.
🚀 Career trajectory
Academic Foundations
Explored data science and research at Carleton and University of Chicago.
✦ Research Focused
✦ Mastery Seeking
Specialized Implementation
Transitioned into software engineering with a focus on data systems during internships.
✦ Data Engineering
✦ Technical Growth
Enterprise Engineering
Current focus on large-scale infrastructure and distributed systems at Google.
✦ Systems Architecture
✦ Production Scale
💪🏻 Superpowers
Scalable Systems Architecture
Engineering robust solutions at global scale
✦ Architecting high-availability systems to support millions of users.
✦ Refining data processing pipelines for maximum computational efficiency.
✦ Implementing production-level code patterns that prioritize long-term maintainability.
Data-Driven Problem Solving
Bridging academic rigor with software engineering
✦ Translating complex analytical research into functional, scalable software.
✦ Applying advanced data science methodologies to optimize backend performance.
✦ Identifying performance bottlenecks using rigorous diagnostic experimentation.
Cross-Functional Collaboration
Navigating technical and research-oriented environments
✦ Bridging the gap between engineering teams and research stakeholders.
✦ Translating complex technical constraints into actionable product requirements.
✦ Mentoring interns and team members on best practices for collaborative development.
I'm excited about
✦ Exploring cutting-edge advancements in cloud infrastructure and distributed systems.
✦ Connecting with peer engineers to exchange strategies on managing massive technical scale.
✦ Seeking collaborative environments that value both research rigor and rapid deployment.
I can help with
✦ Providing technical feedback on system architecture and code optimization strategies.
✦ Guiding early-career engineers through the transition from academia to industry.
✦ Assisting with debugging complex backend issues that involve large datasets.
I would love your help on
✦ Advice on navigating long-term career growth within large technical organizations.
✦ Insights into emerging trends in system design and backend technologies.
✦ Opportunities to connect with mentors working on high-impact infrastructure projects.