The Sr. Backend Engineer will design, build, and maintain core backend systems using Python and Django, focusing on APIs, database management, and improving system reliability.
Sr. Backend Engineer, Django
About TaxGPT
About the Role
What You’ll Do
What We’re Looking For
What We Offer
Hiring Process
Location: Remote, Canada
About TaxGPT
TaxGPT is revolutionizing the tax and accounting space with AI-driven solutions tailored for accountants, tax professionals, and SMBs. We’re building an AI copilot to transform tax workflows, drive efficiency, and simplify compliance. Recently named one of Business Insider’s 30 Early-Stage Startups Most Likely to Become Tech’s Next Unicorns, we’d love for you to join our growing team.
About the Role
We’re looking for a Senior Backend Engineer with deep Django expertise to help build and scale the core application layer at TaxGPT. This is a hands-on role for someone who has strong judgment in designing backend systems, writing clean and maintainable Django code, modeling complex business logic, and improving performance, reliability, and security in production systems.
You’ll work closely with product, design, and leadership to ship backend features that power critical workflows for tax professionals. You should be comfortable operating in ambiguity, owning projects end-to-end, and helping shape backend engineering standards as the company scales.
What You’ll Do
- Design, build, and maintain core backend systems using Python, Django, and Django REST Framework
- Own application architecture for backend features, including domain modeling, business logic, API design, and integrations
- Build reliable, secure, and well-documented APIs used by our frontend and internal services
- Write efficient, scalable database queries in PostgreSQL, and improve performance through indexing, query tuning, caching, and thoughtful schema design
- Manage database migrations and evolving data models safely in production
- Build and maintain asynchronous and background job workflows for longer-running tasks and system processes
- Improve system reliability, observability, and operational readiness in collaboration with the broader engineering team
- Implement secure authentication, authorization, and data protection patterns appropriate for sensitive financial workflows
- Review code, mentor other engineers, and raise the standard for backend quality, testing, and maintainability
- Partner closely with product, frontend, and leadership to translate ambiguous requirements into clean technical solutions
- Contribute to architectural decisions and help the team balance speed, simplicity, and long-term scalability
What We’re Looking For
- 7+ years of backend engineering experience, with significant production experience in Python and Django
- Deep understanding of Django architecture, including models, views, serializers, middleware, auth, admin, signals, migrations, and application structure
- Strong experience with Django REST Framework
- Strong experience with PostgreSQL, including schema design, query optimization, indexing, and migration strategy
- Experience building and scaling production backend services and complex business logic in growing product environments
- Strong understanding of testing and reliability practices, including unit, integration, and API-level testing
- Experience with asynchronous systems and background job processing, plus strong backend security fundamentals
- Clear communicator who collaborates well across teams and operates effectively in a fast moving startup environment
- Experience with AI/LLM-enabled products or backend systems that support AI workflows
- Experience in fintech, tax, accounting, or other regulated domains
- Experience scaling Django applications with caching, background workers, performance monitoring and production deployment environments
- Experience improving developer experience, code quality, and engineering standards across a backend team
What We Offer
Benefits
Comprehensive medical, dental, and vision coverage.
Remote-first
Work from anywhere across US, Canada or Mexico.
Ownership & Impact
Direct visibility into leadership, product strategy, and company growth initiatives. Your work directly influences revenue.
Professional Development
Access to top-tier sales training, AI tooling, and development resources including a $350 credit, all to sharpen your craft.
Culture
We’re a high-trust, high-output team. Expect fast feedback loops, real ownership, and cross-functional collaboration.
Hiring Process
Intro Call → Technical Assessment → Technical Interview → Final Conversations
Similar Jobs
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a Senior Sales Account Executive, you'll drive the full outbound sales cycle, manage a pipeline, and close multi-product deals with SMBs and mid-market merchants.
Top Skills:
Salesforce
Cloud • Greentech • Social Impact • Software • Consulting
As a Customer Experience Intern, you will streamline processes, execute deliverables, and collaborate across teams to enhance the department's success.
Software
Manage high-growth SaaS products, define product roadmaps, collaborate with teams, and enhance capabilities with AI. Deliver measurable product growth and customer value.
Top Skills:
AIProduct Management ToolsSaaS
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

.png)

