Staff Software Engineer, Portfolio Management (Valuations and Analytics)
RidgelineNew York, NY$201k – $251kPosted 27 March 2026
Job Description
Are you passionate about revolutionizing the financial industry? Do you bring an engineering-first mindset while also possessing the quantitative skills to understand financial instruments and their valuations? Are you a problem-solver who thrives in delivering high-quality products with industry-leading performance? If so, we invite you to join our innovative team.
As a Ridgeline Staff Software Engineer on our Trading - Portfolio Management Team, you’ll play a pivotal role in building complex, high-quality applications for our Trade Order Management solution. Leveraging cutting-edge technologies—and harnessing the power of AI tools such as Claude Code, GitHub Copilot, ChatGPT—you’ll help shape an industry-defining platform from the ground up, all while collaborating in a creative, fast-paced environment. Here, your passion for both engineering and the financial domain will make a meaningful impact on the future of investment management technology.
Joining the Ridgeline Trading team means contributing to a culture of innovation, leveraging modern AI-driven solutions to enhance development processes, shaping our product and processes, and leaving a lasting legacy in an industry primed for transformation.
At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If the Ridgeline Way excites you, we’d love to meet you.
You must be work authorized in the United States without the need for employer sponsorship.
The impact you will make:
Apply trading domain knowledge, financial quantitative expertise, and technical skills to create solutions where design, strategy, and engineering closely intersect.
Be involved in the entire software development process, from requirements and design reviews as we undergo asset class expansion throughout the whole platform
Shape and optimize a tech stack leveraging AWS back-end services to power robust, scalable applications.
Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses
Advocate design and development best practices in pragmatic manner
Coach, mentor, and inspire teams of product engineers that are responsible for delivering high performing, secure enterprise applications
Think creatively, own problems, seek solutions, and communicate clearly along the way
Contribute to a collaborative environment rooted in learning, teaching, and transparency
What we look for:
8+ years in a software engineering with a history of architecting and designing new products and technologies
Expert level knowledge in Java or Kotlin (preferred) or equivalent
Bachelor degree in Computer Science or equivalent discipline
Demonstrated experience of applying Design Patterns, OOAD/SOLID principles and writing automated unit tests
Strong motivation to explore and adopt new technologies while independently navigating complex codebases.
Finds joy and satisfaction in working with motivated/supportive engineers to build impactful solutions
Strong problem-solving skills and an aptitude for tackling technical challenges.
Ability to communicate effectively
A positive attitude with a serious interest in having fun at work.
Bonus :
Experience engineering in buy-side order management systems
Working knowledge of complex financial instruments and their valuations
Background in mathematics
About Ridgeline
Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data s ... (truncated, view full listing at source)
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