Senior Software Engineer, Reporting Engine

The Role

The Ridgeline Reporting Engine team builds and operates the core infrastructure behind reporting, query execution, and data-intensive product workflows. Your work will transform complex financial data into reliable, high-performance reporting systems that enable faster, more informed decision-making for investment managers.

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.

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.

Qualifications

• 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.