Staff/Senior Staff Software Engineer
IroncladFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a B.S. or M.S. in Computer Science or a similar technical field, or equivalent practical experience, with at least 7 years of software engineering experience. Proficiency in distributed micro-services development using Python or Java is required, along with experience in databases (SQL, NoSQL, OLAP) and/or data lake architectures. The ability to own complex projects with cross-team partners, collaborate with and mentor other engineers, and demonstrate strong analytical and problem-solving skills are essential. Experience with Big Data and building data pipelines is also a requirement.
The Staff Software Engineer will partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet business requirements. They will collaborate with engineering leads to define and implement platform architecture for growth and scalability, and evaluate and drive strategic business and technology decisions. This role involves being a technical thought leader, educating others, sharing best practices, and providing strategic and prescriptive guidance.
Investment management software for financial professionals
Addepar provides investment management software designed for financial professionals like asset managers and financial advisors. The platform aggregates and analyzes financial data, enabling users to make informed investment decisions. It allows for portfolio alignment with specific targets, modeling of asset allocations, and testing of hypothetical performance across various scenarios, including the management of illiquid assets. Addepar's software offers a comprehensive view of client portfolios, helping professionals optimize financial goals and cash flow. The company operates on a subscription model, which includes features for billing and fee management, ensuring transparency in costs. With a strong presence in the global market and a large user base, Addepar focuses on leveraging data and technology to enhance the services investment professionals provide to their clients.