TaxGPT

AI tax assistant for professionals and businesses

Hiring — 2 openYC-S24B2B -> Finance and AccountingEarly

What TaxGPT does

TaxGPT AI co-pilot for accountants and tax professionals increases tax firm's productivity and profitability by 10x by automating tax research, client communication, onboarding flows and secure document collection.

2 open roles

Sr. Backend Engineer, Django, US Remote
Remote (US)Full-time5+ years$140K - $160KVisa: US citizen/visa only
What the role involves

Sr. Backend Engineer, Django Location: Remote, US Compensation: $140-160k + Equity + Variable Comp up to 20% of base salary 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  Nice to Have 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 Compensation $140-160k + Equity + Variable Comp up to 20% of base salary Benefits Comprehensive medical, dental, and vision coverage. Remote-first Work from anywhere across US, Canada or Mexico. Ownership

Sr. DevOps Engineer
San Francisco, CA, US / Remote (US)Full-time6+ years$140K - $160KVisa: Will sponsor
What the role involves

About Us TaxGPT is revolutionizing the tax and accounting space with AI-driven solutions tailored for accountants, tax professionals, and SMBs. We're building an AI co-pilot 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! Location: US Remote Pay Range: $140k to $160k + Equity + Variable Comp up to 20% of base salary Benefits offered: Medical, dental, vision, 401k + 3% match, life insurance About the Role We are looking for a Senior DevOps Engineer with 7+ years of experience to help build, scale, and secure our infrastructure, deployment systems, and developer operations. This person will play a critical role in improving reliability, performance, security, and engineering velocity across the company. You will work closely with software engineers, product teams, and technical leadership to design and maintain systems that support fast development, stable production environments, and long-term scalability. This is a senior individual contributor role for someone who can operate with high autonomy, own critical infrastructure, make strong architectural decisions, and raise the technical bar across the engineering organization. What You’ll Do Infrastructure and Platform Ownership Own the design, implementation, and long-term health of cloud infrastructure and internal platform systems Build and maintain scalable, secure, and reliable infrastructure across development, staging, and production environments Improve infrastructure automation, environment consistency, and operational resilience Manage networking, compute, storage, observability, and access controls across core systems CI/CD and Developer Productivity Design, improve, and maintain CI/CD pipelines for fast, safe, and repeatable deployments Build tooling and workflows that improve developer experience and reduce operational friction Standardize release processes, deployment practices, and rollback strategies Identify bottlenecks in development and deployment workflows and drive improvements Reliability, Monitoring, and Incident Response Improve system reliability, availability, and performance through strong operational practices Build and maintain monitoring, alerting, logging, and incident response systems Lead root cause analysis and drive permanent fixes for recurring operational issues Establish and improve standards around uptime, recovery, and production readiness Security and Compliance Implement infrastructure security best practices across environments and workflows Strengthen access controls, secrets management, auditability, and system hardening Partner with engineering leadership to reduce operational and security risk Support compliance, backup, disaster recovery, and resilience initiatives where needed Technical Leadership Lead architectural decisions related to infrastructure, deployment systems, and platform reliability Partner with engineering leaders to shape long-term infrastructure strategy Mentor engineers on infrastructure, deployment, observability, and operational best practices Raise the team’s standards through documentation, design reviews, code reviews, and process improvements. What We’re Looking For Required Qualifications 7+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering Strong experience designing and managing production infrastructure in cloud environments such as AWS, GCP, or Azure Deep experience with CI/CD systems, infrastructure automation, and deployment pipelines Strong knowledge of containers and orchestration, including tools such as Docker and Kubernetes Experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation Strong experience with monitoring, logging, and observability tools Experience improving reliability, security, and scalability in productio

Roles are as last read from the company’s own listings. Openings close without notice — check the date on the listing before you spend an evening on the application.

Check the company’s own careers page — linked at the top — before a job board. A role appears there first, sometimes weeks before it is syndicated anywhere else.

Questions and experiences

Nobody has asked anything about TaxGPT yet. If you have interviewed here, what you know is worth more to the next person than anything on the rest of this page.

Reviewed before it appears. Do not include anything that identifies you or anyone else.

Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.

jobo is a browser extension. Open this on a computer to install it.