OverviewWe're looking for a Senior Software Engineer to help build the next generation of tools for researchers and publishers. You'll work on external-facing products that serve scholarly content at scale - the search, discovery, and peer review systems that thousands of researchers depend on every day.
This is a hands-on engineering role. You'll design and build the backend services, data pipelines, and search infrastructure that need to be fast, reliable, and correct. Some of what we're building leans on AI and machine learning, and you'll have room to work on that if it interests you - but we're hiring for engineering fundamentals first.
Essential Functions- Design, build, and operate scalable backend services and APIs that process and serve scholarly content
- Build and maintain data pipelines handling high-volume ingestion, transformation, and indexing
- Build the services and APIs behind user-facing product experiences, working closely with design, product, and frontend engineers
- Design search and discovery systems that return the right result, fast, across large corpora
- Build upstream tooling for peer review and editorial workflows
- Integrate LLMs and other AI capabilities into existing high-volume systems, with the same rigor around latency, cost, and failure handling you'd apply to any dependency
- Evaluate where AI meaningfully improves a product experience - and where a conventional approach is the better engineering call
- Own systems in production: instrument, monitor, debug, and optimize for performance, reliability, and cost
- Make architectural decisions and document the tradeoffs behind them
- Review code, mentor other engineers, and raise the bar for engineering quality across the team
- Collaborate with product and engineering peers to translate user needs into production systems
Required Skills- 7+ years of professional software engineering experience
- Strong proficiency in a modern backend language - Python, Go, Java, C#, or similar - and the ability to pick up others
- Demonstrated experience building and operating production systems at scale
- Solid grounding in distributed systems: concurrency, caching, queuing, failure modes, and how systems behave under load
- Strong SQL and relational data modeling skills
- Experience building search over large corpora - indexing, relevance, and ranking
- BS in Computer Science or equivalent practical experience
Desired Experience- Experience with event-driven architectures and streaming data
- Cloud platform experience (Azure preferred)
- Applied experience with LLMs and retrieval-augmented systems in production
- Experience with semantic search and hybrid retrieval alongside traditional keyword search
- Familiarity with ML pipelines and model deployment
- Experience integrating AI models with external tools and data sources
- Infrastructure-as-code and platform/DevOps experience
What You'll Bring- You're a strong engineer first - you've built systems that handle real-world scale and complexity
- You care about the details: clean code, thoughtful architecture, reliable infrastructure
- You've owned software in production and know what it takes to keep it healthy
- You're curious about where AI fits into the products you build, without needing it to be the whole job
- You're energized by mission-driven work and want your engineering to matter
- You thrive in a technology-forward environment that values learning and experimentation
Salary Range: $125,000-150,000#LI-AD1
