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Datarails is a cloud-based financial planning and analysis (FP&A) platform for SMBs that automates manual monthly and quarterly reporting. The platform connects to organizational systems (ERP, CRM, HRIS, Excel files) and consolidates data into a single cloud-based platform, automating critical financial processes including FX conversions, eliminations, hierarchies, and adjustments while allowing end-users to continue working in Excel.
This is a senior engineering role focused on end-to-end product ownership with a distinctive AI-native development approach. You will own features from requirements and technical design through implementation, testing, deployment, and production monitoring. Rather than a traditional backend role, you will work directly with Product to turn ideas into production-ready solutions, using AI coding agents (Claude Code, Cursor, Codex, GitHub Copilot, or similar) as a core part of your daily workflow.
Key responsibilities include:
- Own product features end-to-end, from requirements through production and monitoring
- Work with Product to translate business problems into clear technical solutions and execution plans
- Design scalable and maintainable solutions including architecture, APIs, data models, and integrations
- Use AI coding agents to accelerate implementation, testing, debugging, and automation
- Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability
- Make independent technical decisions and communicate architectural trade-offs clearly
- Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver features
- Investigate and solve complex production and performance issues
- Continuously improve how the team builds, tests, and ships software using AI-native development practices
The role emphasizes outcome-focused delivery measured by the quality and impact of shipped features, not lines of code written. You will have broad technical ownership spanning Python/Django backend, frontend, QA, automation, infrastructure, and integrations.
REQUIREMENTS:
Must have:
- BSc in Computer Science or equivalent experience
- 7+ years of experience building and shipping production software with a strong track record of owning features or systems end-to-end
- Strong system design fundamentals and experience building scalable SaaS systems in the cloud
- Ability to make sound architectural decisions independently and understand technical trade-offs
- Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing
- Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar
- Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly
- Strong product mindset with ability to balance technical and business priorities
- Strong ownership mentality and ability to drive work independently from idea to production
- Excellent communication skills and high proficiency in English
Nice to have:
- Experience with modern frontend technologies, particularly Angular
- Experience with CI/CD pipelines and infrastructure-as-code tools such as Terraform or Helm
- Familiarity with Celery, RabbitMQ, event-driven architectures, or streaming systems
- Experience with cloud infrastructure, Docker, and Kubernetes
- Experience with QA automation and end-to-end testing
