Staff Engineer - Trading, Order Management

Ridgeline•Reno, NY

2d•$174,500 - $205,000•Hybrid

About The Position

Are you an engineering leader who thrives on architecting game-changing software from the ground up? Do you enjoy empowering teams to push technical boundaries and deliver high-impact solutions in a collaborative, fast-paced environment? Are you excited to leverage your deep trading systems experience to shape the future of financial technology? If so, we invite you to be a part of our innovative team. As a Staff Engineer on the Trading team at Ridgeline, you will provide hands-on technical leadership and design expertise to create and scale our Trade Order Management solution. You’ll guide cross-functional teams to deliver complex, high-performance applications using modern cloud-native architectures. With access to cutting-edge technologies—including AI tools like Cursor, GitHub Copilot, and ChatGPT—you’ll help define and deliver an industry-defining platform that transforms how investment management firms operate. Your vision, mentorship, and ability to connect the dots across systems will make a meaningful impact on our team and customers alike. 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 this 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 have: Design scalable, cloud-native applications using AWS and modern backend services to power mission-critical trading workflows Architect systems that are secure, performant, and maintainable while aligning with Ridgeline’s long-term product vision Lead by example in engineering best practices, including design reviews, testing strategy, and CI/CD adoption Guide and mentor teams of engineers across disciplines, fostering a culture of ownership, continuous learning, and technical excellence Partner closely with product, design, and QA to deliver features that delight customers and meet real-world trading needs Contribute to a collaborative environment rooted in transparency, feedback, and shared responsibility Leverage AI tools like Copilot and ChatGPT to streamline development, improve code quality, and boost team productivity Actively participate in strategic technical decisions, roadmap planning, and evolving the team’s architecture and tooling

Requirements

7+ years of software engineering experience, including leading large-scale system design and implementation
Strong programming experience in Java or Kotlin (preferred), with an emphasis on backend systems
Deep understanding of object-oriented design principles, design patterns, and test-driven development
Experience with cloud platforms, ideally AWS, and modern development practices like infrastructure as code and CI/CD pipelines
Familiarity with modern front-end technologies (e.g., React, TypeScript) and willingness to contribute to full-stack solutions
Ability to think strategically, own complex problems, and balance short-term goals with long-term architecture
Strong communication skills and the ability to influence technical direction across teams
Serious interest in having fun at work

Nice To Haves

Experience building or scaling buy-side order management systems
Familiarity with FIX and/or SWIFT protocols
Background in financial instruments or mathematics
Exposure to performance-sensitive or real-time distributed systems

Responsibilities

Design scalable, cloud-native applications using AWS and modern backend services to power mission-critical trading workflows
Architect systems that are secure, performant, and maintainable while aligning with Ridgeline’s long-term product vision
Lead by example in engineering best practices, including design reviews, testing strategy, and CI/CD adoption
Guide and mentor teams of engineers across disciplines, fostering a culture of ownership, continuous learning, and technical excellence
Partner closely with product, design, and QA to deliver features that delight customers and meet real-world trading needs
Contribute to a collaborative environment rooted in transparency, feedback, and shared responsibility
Leverage AI tools like Copilot and ChatGPT to streamline development, improve code quality, and boost team productivity
Actively participate in strategic technical decisions, roadmap planning, and evolving the team’s architecture and tooling