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Role Description

At LearnLux, you will build a product that changes lives. Our mission is to empower people to take control of their financial future, whether that means getting out of debt, buying their first home, or preparing for retirement. As a Staff Software Engineer, you’ll shape this mission by setting and executing on the architectural direction of our platform as we scale globally as an enterprise-grade SaaS product.

In this role, you’ll tackle complex technical challenges that come with scaling an enterprise platform, including:

• Multi-tenancy
• Cloud infrastructure
• Distributed systems
• Data architecture
• AI infrastructure that is thoughtfully integrated into the core platform

Your contributions will be instrumental in creating a scalable, secure, compliant, and operationally sound backend foundation. You will directly influence architecture, execution, and how the engineering organization operates day to day.

We are a small, agile engineering team, and this role is intentionally hybrid. You’ll spend meaningful time hands-on in the code and infrastructure while also acting as a backend technical leader and cross-functional partner. You’ll connect backend, data, infrastructure, and AI-enabled systems into a coherent architectural vision, mentor other engineers, and raise the bar for technical decision-making as we grow.

If you’re excited by broad architectural ownership, building leverage through automation (including AI-driven systems), and helping shape an engineering organization focused on the future of financial wellness, we’d love to meet you.

This role is based in Denver, Colorado. Remote candidates will be evaluated on a case-by-case basis.

Qualifications

• Staff-level backend engineering experience, defined by scope and impact rather than years.
• Proven experience designing and evolving large-scale, distributed, enterprise SaaS systems.
• Hands-on experience leading or executing major architectural transitions (e.g., multi-tenancy, global scale, platform re-architecture).
• Strong backend development experience with Node.js and/or Python.
• Deep experience with cloud infrastructure, GCP preferred (AWS experience acceptable).
• Experience building systems with security and compliance as first-class concerns in enterprise SaaS and global environments.
• Experience working with data platforms and pipelines, including data warehousing, Airflow, and SQL/NoSQL databases.
• Demonstrated experience using AI-driven or agentic automation to improve engineering systems, workflows, or organizational efficiency.
• Ability to thoughtfully identify where AI and automation create real leverage and to implement those systems pragmatically in production.
• Ability to operate independently, lead through influence, and collaborate effectively across the stack.
• Demonstrated ability to mentor engineers and raise the overall effectiveness of an engineering team.
• Strong communication skills, especially around architectural tradeoffs and technical decision-making.

Requirements

• Lead the architectural design and incremental execution of LearnLux’s transition from single-tenancy to multi-tenancy in an enterprise SaaS environment.
• Design and evolve cloud infrastructure for global scale, reliability, and data isolation, primarily on GCP (with AWS experience welcomed).
• Apply a strong security and compliance mindset to system design and operational scale.
• Own and improve our infrastructure-as-code approach, using Pulumi (preferred) or Terraform to ensure environments are repeatable, visible, and scalable.
• Connect backend services, infrastructure, and data platforms into a cohesive, well-documented system architecture.
• Partner closely with engineers, product, and data to translate strategic architectural goals into a prioritized and executable roadmap.
• Build and maintain backend services using Node.js and Python, contributing hands-on to critical systems.
• Collaborate with data workflows and platforms, including BigQuery and Airflow, ensuring backend systems scale alongside a growing data platform and data lake.
• Drive engineering efficiency through automation, including the use of AI-driven or agentic systems to improve developer workflows, operations, and internal tooling.
• Mentor and support other engineers, enabling them to ramp quickly and contribute meaningfully.
• Uphold global performance, reliability, and operational excellence, leading by example.
• Foster clear communication and thoughtful decision-making across backend, frontend, data, and infrastructure domains.

Benefits

• Remote-first company structure
• Medical, dental, and vision
• 401(k)
• Mental wellbeing (Talkspace)
• Financial wellbeing (LearnLux)
• Paid vacation and sick leave
• Paid sabbatical after 5 years of service
• A supportive, inclusive team culture
• Opportunities for continuous learning and growth at a fast-growing startup at the cutting edge intersection of financial wellness and technology