Are you passionate about building large-scale backend systems that power mission-critical reporting and data-intensive workflows? Do you enjoy solving deep technical challenges around distributed systems, performance, scalability, and reliability? Are you excited by the opportunity to shape the architecture of a next-generation reporting and query platform used across a complex financial ecosystem? If so, we invite you to join Ridgeline's Reporting team.
The Ridgeline Reporting Engine team builds and operates the core infrastructure behind reporting, query execution, and data retrieval across the platform. Our systems power both customer-facing reporting experiences and internal analytics. Your work will transform complex financial data into reliable, high-performance reporting systems that enable faster, more informed decision-making for investment managers. We are evolving the next generation of our distributed reporting and query engine, focused on correctness, performance, scalability, and operational excellence.
We embrace tools like Claude Code, Cursor AI, and ChatGPT to accelerate development and reduce friction, allowing engineers to focus on high-leverage problem solving, system design, and innovation. We're looking for engineers who enjoy diving deep technically, influencing architecture, mentoring others, and building production-grade platforms that scale with the business.
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 authorized to work in the United States without the need for employer sponsorship.
The impact you will make:
- Design and build scalable backend services that power reporting, query execution, and data-intensive product workflows.
- Drive architectural decisions across distributed systems, APIs, execution frameworks, and storage/query layers.
- Lead technical initiatives focused on platform scalability, performance optimization, reliability, and operational excellence.
- Build and evolve systems that handle compute- and IO-intensive workloads with strong correctness and auditability requirements.
- Partner closely with product managers, designers, and engineers to deliver performant and reliable customer-facing capabilities.
- Improve observability, resiliency, debugging workflows, and operational tooling across production systems.
- Help shape the evolution of our next-generation distributed reporting and query platform.
- Contribute to engineering best practices around software design, testing, maintainability, and production readiness.
- Lead design reviews, mentor engineers, and raise the technical bar across the organization.
- Dive deep into ambiguous technical problems while maintaining a strategic long-term perspective.
What we look for:
- 6+ years of software engineering experience building large-scale backend or distributed systems.
- Strong programming experience in Kotlin, Java, Python, or similar backend languages.
- Deep understanding of software engineering fundamentals, including system design, APIs, concurrency, networking, and performance optimization.
- Experience designing and operating scalable cloud-native services (AWS preferred).
- Experience building high-throughput, low-latency distributed systems with strong reliability requirements.
- Experience designing application data models and building services on top of relational and distributed storage systems.
- Familiarity with asynchronous processing, event-driven systems, and distributed architectures.
- Ability to influence architecture and drive technical decisions across teams.
- Excellent communication, collaboration, and mentoring skills.
- Curiosity, ownership, and a desire to continuously learn and improve.
Nice to have:
- Experience building reporting, query execution, or analytics infrastructure platforms.
- Familiarity with distributed query engines or compute frameworks such as Trino, Spark, or similar technologies.
- Experience working on systems with strict correctness, auditability, and reliability requirements.
- Experience in fintech, investment management, or financial data systems.
- Familiarity with React or modern frontend technologies.
- Experience using AI-assisted engineering workflows and developer tooling.
Compensation and Benefits [For New York and California Based Only]The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role is: $153,000-$191,000.
The typical starting salary range for this role in the select locations listed above is: $168,000-$210,000.
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, 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.
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