The Role
Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies.
Addepar is building solutions to support our clients' alternatives investment strategies. We're using AI to automate and streamline ingestion and analysis of alternatives investment data. We're hiring a Senior Software Engineer to design, implement and deliver these ground breaking software solutions. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience AI and ML in the application and transform their experience of alternatives operations.
You will work closely with data scientists on document based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving really hard technical, critically important problems, come join us!
What You'll Do
Design, build and iterate on web based applications for alternatives data professionals
Build responsive UIs that enable PDF annotations, tagging and navigation.
Implement and maintain engineering solutions by writing well-designed, testable code.
Lead individual project priorities, achievements, and software releases.
Collaborate with machine learning engineers to bring ML models into the backend stack of the application in Python or other languages.
Collaborate with product managers and client teams on product requirements iterations, design feasibility and user feedback.
Document software functionality, system design, and project plans; this includes clean, readable code with comments.
Learn and promote engineering standard methodologies and principles.
Who You Are
Minimum 9+ years of experience in software engineering
Proficient with Python or similar OOP'S Language
Experience with streaming data platforms and event driven architecture
Ability to write software to process, aggregate, and compute on top of large amounts of data in an efficient way.
Engage with all levels of collaborators on a technical level.
A strong ownership mentality and strive to take on the most important problems.
Experience with AWS or any public cloud is a strong plus.
Knowledge of front end development a plus.
Experience working with SaaS companies will be nice to have.
Experience with Terraform, Docker, Kubernetes will be highly preferred.
