Software Engineer - Architecture and Cloud Scale
Listed on 2026-04-23
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Software Development
Backend Developer, Cloud Engineer - Software, Software Engineer
About Learn Lux
Learn Lux is the leading provider of workplace financial wellbeing, blending fiduciary digital planning with access to one‑on‑one guidance from Certified Financial Planner™️ professionals. Our award‑winning program helps employees navigate critical financial decisions from budgeting and benefits elections to equity compensation, home buying, and retirement so they can feel confident about their money and focused anced reporting helps our partners understand impact, driving outcomes like reduced financial stress, increased productivity, and improved retention.
We’re building Learn Lux with intention. We move quickly, operate with a high bar for quality, and value people who take ownership of their work. If you’re energized by solving new problems, taking accountability, and pushing yourself to do your best work every day, you’ll find this a rewarding environment.
We’re a venture‑backed company that has raised over $35M to date and is supported by experienced investors and long‑term partners. We’re a growth‑focused business building for scale, and we’re excited by the opportunities and challenges that come with that journey.
About the RoleAt Learn Lux, 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, and 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.
What you’ll do- Lead the architectural design and incremental execution of Learn Lux’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 Big Query 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…
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