Staff Backend Engineer | Remote, US & Canada

cubesoftware; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Stock options

Flexible paid time off

Quarterly learning budget

Paid parental leave

Job summary

cubesoftware seeks an accomplished backend engineering leader to provide senior technical direction for complex financial workflows. You will shape architecture, cloud infra, and engineering practices, guiding designs end-to-end from early product design through deployment and reliability.

You will mentor engineers, improve CI/CD and release processes, and foster reusable patterns across teams. The role requires strong Python/Django expertise and a track record in high-scale, multi-tenant

Qualifications

• 10+ years of software engineering or equivalent staff-level leadership.
• Deep Python and Django expertise, including framework internals and high-scale multi-tenant systems.
• Strong background in distributed systems and cloud infrastructure; experience with concurrency and DB performance.
• Experience defining engineering standards, reusable abstractions, internal tools, and practices that improve team delivery.
• Familiarity with dataframe-based computation (Pandas, Polars, NumPy).

Responsibilities

• Set architectural direction and establish reusable patterns and standards for backend systems.
• Design and evolve multi-tenant data access, distributed task orchestration, asynchronous pipelines, and enterprise integrations.
• Turn ambiguous product needs into end-to-end technical solutions, including infrastructure, deployment, monitoring, and documentation.
• Improve production observability through logging, metrics, monitoring, and debugging practices.
• Guide incident response, root-cause analysis, and durable remediation for complex production issues.
• Mentor engineers and improve developer workflows, testing, CI/CD, and release practices.

Skills

Python & Django

Distributed systems

Cloud infrastructure

Engineering standards

Dataframe workflows (Pandas/Polars/Num

Tools

Pandas

Polars

NumPy

Job description

Role overview

Provide senior technical direction for backend engineering, shaping the architecture, infrastructure, and engineering practices that support complex financial workflows. Lead initiatives across teams from early design through deployment and ongoing reliability, while mentoring engineers and helping improve how the organization builds and operates software.

Responsibilities

• Set architectural direction and establish reusable patterns and standards for backend systems.
• Design and evolve multi-tenant data access, distributed task orchestration, asynchronous pipelines, and enterprise integrations.
• Turn ambiguous product needs into end-to-end technical solutions, including infrastructure, deployment, monitoring, and documentation.
• Improve production observability through logging, metrics, application monitoring, and effective debugging practices.
• Guide incident response, root-cause analysis, and durable remediation for complex production issues.
• Mentor engineers and improve developer workflows, testing, CI/CD, and release practices.

Requirements

• Typically 10+ years of software engineering experience, or equivalent evidence of staff-level ownership and technical leadership.
• Deep Python and Django expertise, including framework internals, performance tuning, and high-scale multi-tenant systems.
• Strong background in distributed systems and cloud infrastructure, with experience resolving concurrency, asynchronous processing, and database performance problems.
• Experience defining engineering standards, reusable abstractions, internal tools, and practices that improve team delivery.
• Familiarity with dataframe-based computation such as Pandas, Polars, or NumPy for data-intensive workflows.
• Able to work across Engineering, Product, and Customer Success and explain complex technical decisions clearly.

Nice to have

Experience with relational and analytical databases, caching, message queues, task processing, cloud infrastructure as code, and AI-assisted engineering or production LLM workflows. Frontend familiarity with JavaScript or TypeScript is also useful.

Benefits and work setup

The role is listed for the US and Canada, but the source says the position requires working onsite at a New York office Tuesday through Thursday. Benefits include medical, dental, and vision coverage, flexible paid time off, stock options, paid parental leave, and a quarterly learning budget. Work authorization in the posted location is required; immigration sponsorship is unavailable.