Senior Software Engineer, Reporting Workflow

Are you passionate about designing large-scale reporting systems that power mission‑critical client deliverables? Do you enjoy owning end‑to‑end workflows that must be correct, performant, and reliable under heavy and uneven load? Are you excited to influence architecture, mentor engineers, and help evolve systems built during a period of rapid growth into their next phase of maturity?

The Reporting Workflow team owns the systems responsible for generating pixel‑perfect PDF investment statements delivered to our customers’ end clients. Our customers are investment firms, and their clients range from individuals to institutions with complex portfolios. The reports we generate are a critical client‑facing artifact, reflecting performance across multiple time frames and comparisons against industry benchmarks.

Our systems operate as a batch‑oriented platform that coordinates reporting workflows across the broader Ridgeline system. These workflows execute at varying scales and must do so efficiently while being mindful of overall system utilization, throughput, and stability. We operate in a single shared AWS production environment with strict multi‑tenant isolation, requiring careful design to ensure scalability, fairness, and absolute data correctness.

We also own UI surfaces that allow users to create, configure, and monitor reporting workflows, blending backend systems engineering with workflow‑driven product design. PDF rendering is handled via a third‑party templating system, enabling customer‑specific layouts while allowing our team to focus on orchestration, batching, domain correctness, and reliability.

As Ridgeline continues to grow, we are entering a phase focused on architectural consolidation, system hardening, and preparing for customers with significantly larger data volumes and portfolio complexity.

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.

• Serve as a technical leader for the Reporting Workflow team, shaping the architecture of batch reporting systems that operate at scale under spiky workloads.
• Drive architectural decisions around multi‑tenant isolation, rate limiting, back pressure, throughput, and system‑wide resource management.
• Identify and lead opportunities to consolidate code and architectural patterns across the product following a period of rapid feature development.
• Partner closely with product managers, designers, and engineers to evolve reporting workflows that reflect real‑world investment firm operations.
• Help design and evolve UI‑driven configuration and monitoring experiences for complex batch jobs.
• Establish and reinforce engineering best practices around reliability, performance, testing, and operational excellence.
• Mentor and coach senior‑and staff‑level engineers, raising the technical bar across the organization.
• Think creatively, own complex problems, seek pragmatic solutions, and communicate clearly along the way.
• Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency.

• 12+ years of software engineering experience, including technical leadership of complex, distributed systems.
• Strong architectural judgment and experience designing systems for scale, reliability, and long‑term maintainability.
• Proficiency in a strongly typed, object‑oriented programming language such as Kotlin, Java, or C#; experience with Kotlin is a plus.
• Familiarity with Python is beneficial for cross‑team collaboration and broader platform work.
• Experience building cloud‑native systems on AWS, including event‑driven and batch‑oriented architectures.
• Strong understanding of multi‑tenant systems, data isolation, and correctness under concurrency.
• Experience optimizing system…