Software Engineer II, Performance and Analytics at Ridgeline

Reno, Nevada, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

140000.0

Posted On

18 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Kotlin, OLAP, Columnar Databases, Data Modeling, Cloud Native Applications, AWS, Azure, Google Cloud, Automated Tests, Problem Solving, Communication, Analytics, ETL Pipelines, Performance Concepts, Brinson Attribution

Industry

Software Development

Description

The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance. We are in search of a passionate engineer to take on a critical role in evolving our next generation performance & analytics platform, aiming to set a new industry standard in this domain. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. 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. The impact you will make: Contribute design skills and technical expertise to a team where design, strategy, and engineering collaborate closely Be involved in the entire software development process, from requirements and design reviews through implementation Impact a developing tech stack based on AWS back-end services 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 Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency What we look for: 3+ years in a software engineering position with a history of architecting and designing new products and technologies Experience with Kotlin or similar programming languages Familiarity working with OLAP or Columnar databases, with the capability to optimize queries Understanding of data modeling for analytical use cases Interest in running complex analytics over a large scale of data quickly Experience building cloud native applications on AWS/Azure/Google Cloud A degree in Computer Science, Information Science, or a related discipline Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space Understand the value of automated tests at all levels Ability to focus on short-term deliverables while maintaining a big-picture long term perspective An aptitude for complex problem-solving Ability to communicate with colleagues at all levels Serious interest in having fun at work Bonus: Buy-side technology experience Experience with GitHub Copilot or ChatGPT Experience with ETL Pipelines that move data into OLAP systems Familiar with performance concepts and methodologies: TWR, Brinson Attribution, Profit and Loss About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The typical starting salary range for this role is: $120,000-$140,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid

Responsibilities

Contribute design skills and technical expertise to the Performance & Analytics team, impacting the software development process from requirements to implementation. Participate in creating developer-based automation for scalable applications.