Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology. Private funds manage $15T in capital and are growing at 20% YoY, but with increasing regulatory scrutiny and investor demands for transparency, the need for world class software to help private fund CFOs is crucial.
Requirements
- Have 7+ years of working experience as an engineer building and shipping world class products with experience handling systems that process millions of records in near real-time
- Bring expert level knowledge of backend system architecture and system design
- Django or similar Python frameworks
- Celery/Temporal or other distributed worker frameworks
- Redis/SQS
- AWS or other cloud platforms
- Postgres or other SQL solutions
Responsibilities
- Help architect and implement the Scenario Modeling engine, including projection framework, workflow orchestration and complex financial data processing pipelines.
- Act as the tech lead for the Scenario Modeling team, shaping the technical roadmap, mentoring engineers, and putting in place scalable team structures.
- Work closely with problem experts to develop flexible and intuitive modeling tools that replace legacy spreadsheet workflows.
Other
- Collaborative. You collaborate well across teams, can distill and incorporate feedback, and communicate clearly and concisely
- Product Vision. You have a full understanding of how to identify the true needs of the user through research, build through a user-centric lens, and create elegant and functional experiences. You have a relentless product mindset that drives you not only to contribute to engineering execution, but to plan, design, implement, and test features to perfect the user experience
- Leader. You're eager to shape our technical foundation and will level up team practices and processes. You can take broad guidance and determine the best path forward. You thrive in a fast-paced environment and are comfortable wearing multiple hats
- Strategic. You see both the forest and the trees: think big picture, execute fine details. You can plan for the long term while navigating short-term tradeoffs
- Deeply Technical. You'll work on systems that process millions of records in near real-time, requiring thoughtful approaches to data pipelines, caching strategies, and distributed processing. Our challenges focus on optimizing complex calculations and ensuring responsive user experiences while handling substantial data volumes.
