Remote Senior Backend Engineer

Cube is on a mission to help every company hit their numbers.

The world has evolved, but business planning has not. Most Finance teams still manage their planning and analysis in spreadsheets, yet the ones who replace them end up going back over 80% of the time. Cube is a cloud-based FP&A platform that helps companies hit their numbers without sacrificing their spreadsheets.

Cube is backed by top-tier investors such as Battery Ventures and Mayfield. 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.

Cube is hiring a Senior Backend Engineer to join our Engineering team. At Cube, we're motivated by supporting people in typically unsung roles like Finance. Our mission is to create an extremely simple and intuitive product in an industry—Financial Planning & Analysis (FP&A)—that is inherently complex. Simply stated: we're on a mission to help every company hit their numbers.

We're looking for a senior engineer who thrives in the middle of complex systems—not just greenfield projects—and who takes pride in evolving large, long-lived codebases under real business constraints. This role carries meaningful ownership and influence across the team and the product.

You'll partner closely with Engineering, Product, Marketing, and Customer Success, and you'll report to one of our Engineering Managers. This is a great opportunity to help shape not just systems, but how we work as an engineering organization.

Learn more about the Engineering Team: our values, how we work, and our interview process.

• 6+ years of professional backend engineering experience, with significant time spent in Python and Django

• Expert-level knowledge of Django Core and Django REST Framework, including a deep understanding of the request/response lifecycle—and the judgment to know when to use (and remove) tools like signals
  Deep experience with relational databases at scale (PostgreSQL and/or MySQL), including indexing strategies, locking behavior, and transactional integrity in distributed systems

• Strong comfort operating in AWS, including practical experience with services like RDS, SQS (visibility timeouts), S3 lifecycle policies, and debugging IAM/VPC networking issues

• Experience working in large, existing codebases, not just greenfield development

• A proven track record of delivering well-designed, well-tested, performant systems in an agile, remote-first environment

• Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions to both technical and non-technical stakeholders

• Strong fundamentals in algorithms and data structures, and how they behave at scale in real systems

• 6+ years of professional backend engineering experience, with significant time spent in Python and Django

• Expert-level knowledge of Django Core and Django REST Framework, including a deep understanding of the request/response lifecycle—and the judgment to know when to use (and remove) tools like signals

• Deep experience with relational databases at scale (PostgreSQL and/or MySQL), including indexing strategies, locking behavior, and transactional integrity in distributed systems

• Strong comfort operating in AWS, including practical experience with services like RDS, SQS (visibility timeouts), S3 lifecycle policies, and debugging IAM/VPC networking issues

• Experience working in large, existing codebases, not just greenfield development

• A proven track record of delivering well-designed, well-tested, performant systems in an agile, remote-first environment

• Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions to both technical and non-technical stakeholders

Strong fundamentals in algorithms and data structures, and how they behave at scale in real systems

The expectations above are meant to represent the ideal candidate, but if you don't meet all of them and think you'd be a great fit for this role, please apply. This position is open to candidates who are authorized to work in the posted location. Immigration sponsorship is not available at this time.

Full-Time Employee Benefits

• We provide 100% covered employee medical, dental, and vision insurance options, including FSA/HSA options plus free memberships to OneMedical, Teladoc, and Talkspace.

• Our flexible paid vacation and sick/mental health time guidelines help you get the time and space you need.

• We offer stock options to all full-time employees of Cube, as we want you to be connected to the success of the company.

• We offer 12 weeks of 100% paid parental leave for the birthing parent.

• We offer each Cuber a quarterly learning budget to spend on books, classes, or events that support your development.

• You'll be joining an experienced team of tech startup leaders who are eager to work with you and provide support and mentorship

• You'll work for a company that our customers are truly excited about

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