Backend Engineer | Remote, US & Canada

Cube is the financial intelligence platform built for the AI-era.

The world has evolved, but FP&A is still trapped in manual reconciliation cycles. While most platforms try to replace the spreadsheets finance teams love, Cube is different: we are the intelligent finance layer that unifies fragmented data into a centralized command center. By automating data management, we empower the Office of the CFO to stop moving numbers and start driving the strategic analysis that turns data into growth.

We don’t compete with AI; we make it trustworthy. In a world where AI is often only 80% right, Cube provides the 100% truth and governance finance teams need to turn data into growth. Our mission is clean data, everywhere, allowing the modern Office of the CFO to move beyond manual data management and lead with strategic certainty.

Cube has raised >$65M and is backed by top-tier investors such as Battery Ventures and Mayfield. We’re also proud to be recognized by Forbes as one of the Best Places to Work in 2026. Together, we’re building a culture that challenges and celebrates everyone with a path to growth. We’re guided by our company values: act with urgency, keep it simple, build with joy, obsess over the details, own the outcome, raise the bar, champion our customers, and win together.

As we enter our next phase of growth, we believe having the right Cubers on our team will be the reason we win.

Note:

This position requires working onsite at our New York office Tuesday through Thursday.

We are seeking a Staff Back-End Engineer to serve as a technical North Star for our engineering organization. In this role, you won’t just ship features; you will shape the architectural patterns, infrastructure standards, and engineering habits that allow our entire team to scale.

Reporting to an Engineering Manager, you will act as a highly strategic individual contributor working across multiple problem spaces. You’ll partner closely with Engineering, Product, and Customer Success to transform ambiguous business needs into robust distributed systems that power real financial workflows.

This role exists at a pivotal moment in Cube’s growth. As our platform expands in complexity and scale, we’re looking for someone who can elevate system design, improve long-term reliability, and help define what great engineering looks like across the organization.

You will take ownership of complex initiatives end-to-end, influencing infrastructure, deployment strategies, observability practices, and long-term system health. This is an opportunity to help build scalable engineering foundations, reusable abstractions, and internal frameworks that accelerate the entire team.

• Python (Django + DRF)
• MySQL, Click House, Redis, RabbitMQ, Celery
• AWS (deployed via CDK), CI/CD automation
• JavaScript/Type Script (React/Redux) on the front end
• AI-driven workflows, LLM agents, enterprise integrations, and advanced observability

• Experienced Technical Leader:
  Typically brings 10+ years of professional software engineering experience, with flexibility for exceptional candidates who demonstrate strong Staff-level impact, ownership, and technical leadership.
• A Technical Strategist:
  You have clear, experience-backed opinions on distributed systems and long-term architecture. You don’t just solve today’s problem; you design systems that support years of growth.
• Python/Django Expert:
  Deep knowledge of Django internals including middleware, database routing, management commands, signals, and performance optimization in high-scale, multi-tenant environments.
• Systems Architect:
  Strong experience building and evolving distributed systems across cloud infrastructure. Comfortable debugging complex concurrency challenges such as…