Senior Software Engineer, Reporting Engine

Ridgeline•San Ramon, CA

7d•$153,000 - $210,000•Hybrid

About The Position

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.

Requirements

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 Haves

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.

Responsibilities

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.