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LearnLux

Senior Back End Engineer, Data and Cloud

Colorado, USA; United States - RemoteRemote · United States
Senior · Engineering
POSTED 24 AUGVERIFIED 1D AGO
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Role
76 days opentrue age
Posted 24 Aug
Payats field
$145k–190kposted
▼ −16% vs market median $199k
$145k$215k
Market p25–p75
$183k–$215k
United States · n=346 · 365d to 6 Nov
CompanyLearnLux →
11open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
2,870open · Senior Backend
Opened · 7d
+1254% of open
All backend
8,404open
All tracked boards · live 9 Nov · n=2,870
AWSGCPTerraformSQLDistributed systems

About LearnLux

LearnLux is the leading global 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 at work. Today, we're proud to serve some of the largest companies in the world.

We’re building LearnLux 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 a series B 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.

The Role

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 Senior Software Engineer, you’ll contribute directly to this mission by designing and building scalable backend systems that power our enterprise-grade SaaS product.

In this role, you’ll lead and execute projects to tackle the complex technical challenges that come with scaling an enterprise platform. This includes distributed systems, cloud infrastructure, data architecture and pipelines, and AI-enabled features. You will play a critical role in delivering reliable, secure, and scalable systems while partnering closely with your team to execute against product and technical priorities.

We are a small, agile engineering team, and this role is hands-on. You’ll be expected to operate effectively in a fast-moving startup environment, balancing execution, ambiguity, and evolving priorities. You’ll spend the majority of your time building and shipping high-quality systems while collaborating closely with engineers, product managers, and data partners. You’ll contribute to system design, improve engineering practices, and help drive projects forward with a strong sense of ownership. If you’re excited by building impactful systems, working across the stack, and contributing to 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

  • Design and build backend services and systems that support LearnLux’s enterprise SaaS platform.
  • Design and work with data systems, including SQL databases, pipelines, and data warehouses, to support product and operational needs.
  • Run parallel AI-assisted coding sessions, continuously refining plans while shipping across multiple threads of work in real time.
  • Develop and maintain cloud infrastructure for reliability and performance, primarily on GCP (with AWS experience welcomed).
  • Apply strong engineering fundamentals to ensure systems are secure, reliable, compliant, and scalable.
  • Work with infrastructure-as-code tools such as Pulumi (preferred) or Terraform to maintain consistent and scalable environments.
  • Collaborate with product, design, and data teams to translate requirements into well-scoped technical solutions.
  • Drive engineering efficiency through automation, including the use of AI-driven or agentic systems to improve developer workflows, operations, and internal tooling.
  • Support global performance, reliability, and operational excellence.
  • Contribute to documentation and knowledge sharing across the engineering team.

You should bring

  • Hands-on experience with data systems, including SQL databases, data pipelines, and data warehouses.
  • Backend engineering experience, including ownership of scalable production systems in a SaaS environment.
Source · LearnLuxFirst seen 7 NovOriginal ↗