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7633-7640 of 14077Cube
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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, ClickHouse, Redis, RabbitMQ, Celery
AWS (deployed via CDK), CI/CD automation
JavaScript/TypeScript (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 race conditions, distributed deadlocks, async failures, and large-scale database performance issues.
Data Fluent: Experience with dataframe-based computation tools such as Pandas, Polars, or NumPy to power data-intensive workflows and financial modeling pipelines.
Engineering Leader: Proven ability to define engineering standards, design reusable abstractions, and improve developer velocity through internal tooling and frameworks.
Efficiency Minded: Early adopter of AI-assisted engineering workflows (Cursor, Claude Code, automated refactoring, or similar tooling) to increase velocity without sacrificing reliability or code quality.
Effective Communicator: Able to clearly explain architectural trade-offs to executives, product partners, and engineers at all levels.
Nice to Have: Familiarity with FP&A domain concepts such as trial balances, charts of accounts, fiscal calendars, scenario modeling, and multi-currency workflows.
Define the Standard: Set architectural direction and establish engineering patterns that become the golden path across teams.
Own the Core: Design and evolve complex backend systems including multi-tenant database routing, distributed task orchestration, async pipelines, and enterprise integrations.
Modernize Workflows: Lead adoption of AI-assisted development practices and LLM agent systems within production environments.
Ship Strategic Initiatives: Take ambiguous product goals and deliver them end-to-end, from infrastructure (CDK) and deployment to monitoring and documentation.
Observability First: Foster a culture of observability by default, owning strategies around structured logging, APM tooling, metrics, and production debugging workflows.
High-Stakes Resolution: Act as a steady technical leader during production incidents, guiding root-cause analysis and long-term remediation strategies.
Elevate the Team: Remove technical blockers, mentor engineers, and promote psychological safety alongside a culture of continuous improvement.
Scale the Org: Continuously improve CI/CD pipelines, testing infrastructure, release processes, and deployment strategies so teams can ship safely at speed.
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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