Staff Software Engineer, Reporting

Ridgeline•San Ramon, NY

3d•$185,000 - $220,000•Hybrid

About The Position

Are you passionate about designing large-scale reporting systems that power mission-critical analytics and decision-making? Do you enjoy mentoring others and shaping the technical direction of large-scale platforms? Are you a problem-solver who thrives in fast-paced environments and loves tackling complex data querying challenges? If so, we invite you to be a part of our Reporting team The Ridgeline Reporting team builds and maintains the infrastructure that powers both external operational reporting and internal data accessibility across the platform. We’re responsible for designing data querying systems, scaling our service to meet increasingly large customer volumes, and enabling fast, reliable access to complex datasets. As a member of this team, you’ll contribute to a technical foundation that supports everything from core product experiences to strategic insights. We embrace tools like GitHub Copilot and Cursor AI to accelerate development and reduce friction, allowing engineers to focus on creative, high-leverage problem solving. We’re looking for engineers who are excited to drive architectural decisions, mentor others, and build high-performance systems 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 the Ridgeline Way excites you, we’d love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will make: Serve as technical lead for cross-cutting initiatives like the Reporting Engine rearchitecture, performance scaling, and AI reporting integration. Collaborate with engineers, product managers, and designers to define and deliver impactful customer-facing features. Drive architectural decisions that ensure our reporting systems are reliable, performant, and extensible. Help establish engineering best practices in data modeling, distributed systems, and query optimization. Lead design reviews, guide implementation, and mentor staff- and senior-level engineers. Dive deep into technical problems while maintaining a strategic, long-term perspective. Represent the Reporting team in cross-functional planning efforts and engineering leadership forums. Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment rooted in learning, teaching, and transparency

Requirements

8+ years of software engineering experience, including technical leadership of large-scale systems.
Experience designing and evolving data-intensive applications, especially in reporting or analytics domains.
Proficiency with Python or Kotlin (experience with both is a plus).
Experience with modern cloud platforms (AWS preferred) and building scalable, event-driven services.
A strong understanding of distributed systems, data pipelines, and performance optimization.
A demonstrated ability to lead without authority, influence architecture, and align teams.
A collaborative mindset with excellent communication and mentoring skills.
Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space.
An aptitude for problem solving
Ability to communicate effectively
Serious interest in having fun at work

Nice To Haves

Familiarity with front-end technologies like React is a bonus.

Responsibilities

Serve as technical lead for cross-cutting initiatives like the Reporting Engine rearchitecture, performance scaling, and AI reporting integration.
Collaborate with engineers, product managers, and designers to define and deliver impactful customer-facing features.
Drive architectural decisions that ensure our reporting systems are reliable, performant, and extensible.
Help establish engineering best practices in data modeling, distributed systems, and query optimization.
Lead design reviews, guide implementation, and mentor staff- and senior-level engineers.
Dive deep into technical problems while maintaining a strategic, long-term perspective.
Represent the Reporting team in cross-functional planning efforts and engineering leadership forums.
Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment rooted in learning, teaching, and transparency