Staff Software Engineer, Backend

We are seeking an innovative and forward-thinking Staff Software Developer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

About the Cash Forecasting team:

Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.

The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorize, and analyze transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.

You'll work on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.

What You’ll Do – Be a Force Multiplier:

Technical Leadership & Architecture:

• Drive architectural decisions for the platform, balancing scalability, maintainability, and rapid deployment goals
• Establish technical standards and design patterns that enable the team to ship features faster with fewer defects
• Lead technical design reviews and provide constructive feedback that elevates the team's architectural thinking
• Identify and eliminate technical debt strategically, creating roadmaps that improve both developer velocity and system reliability

Team Enablement & Mentorship:

• Mentor mid-level and senior engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Establish coding standards, review practices, and testing strategies that improve overall code quality
• Champion engineering standard processes including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies, engage with tech communities, mentor fellow engineers, and lead in technical design and code evaluations

Multi-functional Impact:

• Partner with Product and Customer Success teams to translate business requirements into scalable technical solutions
• Collaborate across distributed teams (Ireland, U.S., Philippines, Australia) to drive alignment on technical approaches
• Influence product roadmap by identifying technical opportunities that create competitive advantages
• Bridge the gap between technical implementation and business value, helping the team prioritize high-impact work

Increase Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Improve CI/CD pipelines, testing infrastructure, and deployment processes to increase velocity
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

Strategic Technical Vision:

• Anticipate future scalability challenges before they become blockers (e.g., handling 10x growth in transaction volume)
• Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies)
• Design systems that support the 90-day implementation promise while maintaining enterprise-grade quality
• Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later"

Ownership & Accountability:

• Own critical systems end-to-end, from design through production support
• Take responsibility for production reliability and proactively prevent incidents
• Step into ambiguous situations and drive them to resolution without needing explicit direction
• Lead by example in code quality, documentation, and operational excellence
• Make tough technical trade-off decisions and clearly communicate the reasoning

What You’ll Work On:

Integration & Data Connectivity:

• Build and maintain API integrations with major ERPs (SAP, Oracle, Workday) and banking systems to automatically pull transactional data

AI/ML Features:

• Develop and optimize machine learning models for the GSmart AI engine that predicts cash flows and automatically selects optimal forecasting algorithms
• Build automated variance analysis systems that compare actuals vs. forecasts and generate actionable insights
• Create pattern recognition algorithms to identify anomalies, seasonal trends, and customer payment behaviors

Platform Development:

• Design and implement flexible worksheet engines that allow users to customize cash flow models, categories, and reporting calendars

Performance & Scalability:

• Optimize data processing for handling billions of dollars in daily transactions
• Build caching and aggregation strategies for real-time dashboard performance
• Design distributed systems architecture to support a 90-day rapid implementation model

Reporting & Analytics:

• Create interactive dashboards and visualization components for cash position insights
• Build automated notification systems for covenant compliance monitoring and unusual variance alerts

Essential Knowledge / Experience:

Years & Scope:

• 8+ years of professional software engineering experience
• 3+ years working on complex, business-critical systems in production
• Experience working on products with significant scale
• Strong communication skills with experience working in multi-functional projects
• Track record of delivering projects that span multiple quarters and require coordination across teams

System Ownership:

• Owned and evolved significant portions of a production system end-to-end
• Been on-call for production systems and handled critical incidents
• Led technical designs that were implemented by teams of 3+ engineers
• Made architectural decisions that had lasting impact on system capabilities

Technical Leadership:

• Mentored 2+ engineers to help them level up technically
• Established technical patterns that were adopted across the team
• Led technical spikes to evaluate new technologies or approaches

Cloud & Infrastructure:

• Proficiency with at least one major cloud platform (AWS, Azure, GCP)
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