Staff Software Engineer, CaptivateIQ

• 8+ years of professional software engineering experience with progression into staff-level technical leadership
• Deep expertise in distributed systems and data-intensive architectures at scale
• Track record of operational excellence for mission-critical production systems
• Demonstrated force multiplier - elevates teams through mentorship, design leadership, and raising the technical bar
• Ability to set technical strategy across teams and make high-stakes decisions under ambiguity

Desirable

• CaptivateIQ's modeling engine is the computation core that powers every product - turning business models into real-time, trustworthy calculations at enterprise scale
• We're looking for a **Staff Software Engineer** to set the technical strategy for the Modeling Platform team, which owns and evolves this universal computation engine as a single unified service
• This is a strategic technical leadership role with multi-year scope
• You'll evolve an established computation platform into a distributed architecture that scales from tens of millions to billions of records with real-time performance and deterministic accuracy
• You'll make high-stakes technical decisions - horizontal scaling strategies, materialization approaches, storage engine tradeoffs - and be responsible for choices that affect product teams across the organization
• As the technical anchor on the Modeling Platform team, you'll be a force multiplier who makes the entire team and broader engineering organization better - through design leadership, mentorship, and raising the engineering bar
• You'll lead by influence across organizational boundaries, driving alignment between consuming product teams and the platform
• You'll invest deeply in coaching and developing engineers toward senior and staff-level impact
• Set the multi-year technical strategy for the modeling platform, partnering with senior EPD leadership on long-term vision
• Architect distributed computation systems that scale horizontally with predictable SLAs, evolving from single-node to partitioned, parallel execution at enterprise scale
• Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
• Drive operational excellence for mission-critical financial workloads: reliability, observability, graceful degradation, cost efficiency, and incident response
• Design platform APIs and SDKs consumed by multiple product teams, ensuring consistent behavior, strong contracts, and rapid feature adoption
• Be a force multiplier - elevate engineering capabilities across teams through design leadership, code review standards, architectural mentorship, and knowledge sharing that scales beyond your own direct contributions
• Invest deeply in coaching engineers, helping them grow in scope and develop toward senior and staff-level impact