Job Details

Staff Software Engineer, Custodian Data

Location: Reno, NV, San Ramon, CA

Do you have a passion for finance & investing? Are you interested in modeling the industry's data and making it highly available? Are you a technical leader who enjoys refining both technology performance and team collaboration? If so, we invite you to join our innovative team.

As a Ridgeline Staff Software Engineer on our Custodian Data team, you'll have the unique opportunity to build an industry-defining, fast, scalable custodian engine with full asset class support and global market coverage. You will be relied on for your technical leadership to help the team evolve our architecture, scale to meet our growth opportunity and exemplify software engineering best practices. Our team of engineers are building with cutting-edge technologies-including AI tools like GitHub Copilot and ChatGPT- in a fast-moving, creative, progressive work environment.

You'll be encouraged to think outside the box, bringing your own vision, passion, and insights to drive advancements that impact both our team and the industry. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change.

You must be work authorized in the United States without the need for employer sponsorship.

What you will do?

• Contribute domain knowledge, design skills, and technical expertise to a team where design, product, and engineering collaborate closely
• Be involved in the entire software development process, from requirements and design reviews to shipping code and observing how it lands with our customers.
• 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
• Coach, mentor, and inspire teams of product engineers who 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 deeply rooted in learning, teaching, and transparency

Desired Skills and Experience

• 8+ years in a software engineering position with a history of architecting and designing new products and technologies
• Experience building cloud-native applications on AWS/Azure/Google Cloud
• A degree in Computer Science, Information Science, or a related discipline
• Extensive experience in Java or Kotlin
• Experience with API and Event design
• Background in high-availability systems
• Experience with L2, and L3 Support and participation in on-call rotation.
• Experience with production instrumentation, observability, and performance monitoring
• 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
• Serious interest in having fun at work

Bonus:

• 3+ years of experience engineering in Data Pipeline, Reconciliation, Market Data, or other Fintech applications
• Understanding of AWS services and infrastructure
• Experience with Docker or containerization
• Experience with agile development methodologies
• Experience with React
• Experience with caching
• Experience with data modeling
• Experience leading difficult technical projects that take multiple people and teams to complete
• Ability to handle multiple projects and prioritize effectively
• Excellent communication skills, both written and verbal
• Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space
• An aptitude for problem-solving
• Ability to amplify the ideas of others
• Responsibility for delivering an excellent project that extends beyond coding
• Ability to adapt to a fast-paced and changing environment
  Compensation and Benefits
  
  The typical starting salary range for new hires in this role is $174,000 - $220,000. 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.

About Ridgeline

Ridgeline is the industry cloud platform for investment management. It was founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to address the unique technology challenges of an industry in need of new thinking. We are building a modern platform in the public cloud, purpose-built for the investment management industry to empower businesses like never before.

Headquartered in Lake Tahoe with offices in Reno, Manhattan, 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 LinkedIn as a "Top U.S. Startup," and by The Software Report as a "Top 100 Software Company."

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.