Senior Software Engineer

About the role

Daloopa's mission is to become the market leader in high-quality, actionable data for the world's top investment professionals. We're judged on three things: coverage, speed, and accuracy. Whether a hedge fund analyst can find the right number, get it fast, and trust it absolutely.

Responsibilities

• Design, develop, and maintain secure, scalable backend APIs and services using Python, Django, and FastAPI for enterprise customers.
• Work closely with LLMs, building pipelines, writing evaluations, and iterating on prompting strategies and model outputs to improve quality and reliability.
• Implement LLM observability, monitoring, and evaluation systems to track model performance, latency, and cost.
• Design efficient and scalable database schemas, optimize SQL queries, and maintain data integrity at scale.
• Collaborate with cross-functional teams, product, frontend, and data/AI, to translate requirements into well-architected technical solutions.
• Participate in code reviews and contribute to high coding standards and best practices.

Requirements

• 5+ years of professional engineering experience.
• Strong proficiency in Python; experience with Django is a strong foundation.
• Hands-on experience working with LLMs in production, building pipelines, writing evals, and improving model outputs.
• Experience with distributed systems, caching, and asynchronous task queues (Celery or equivalent).
• Solid understanding of RESTful and/or GraphQL API design and development.
• Ability to break down and drive complex technical problems to completion.
• Clear, direct communication and a strong sense of ownership over the outcomes of your work.
• Genuine interest in the problem domain. Financial data, supervised learning systems.

Qualifications

• You should be the kind of person who reads product launches from competitive companies and has opinions.
• Experience at high-growth, product-focused technology companies where you've owned systems in production and worked across teams.
• Background in fintech, financial data, or other domains where data quality is mission-critical and audit trails matter.
• Familiarity with the financial fundamentals landscape: 10-Ks, 10-Qs, transcripts, segment reporting, non-GAAP reconciliations.

Skills

• Very business savvy type of engineer that knows how to engage with the executives, but also the clients in a more visionary way.
• Can implement process and work in an ambiguous environment.
• Take ideas and turn them into solutions.

Benefits

• Competitive pay + performance incentives
• Equity in a fast-growing FinTech
• Hybrid work schedule (3 days in-office)
• Career growth and mentorship opportunities
• A vibrant, collaborative culture
• Full benefits package

Pay

$173,000-193,000 base + equity + benefits (This range is reflective of level of contribution. Candidates who fully match what we’re looking for in this role will be at the top of the range.)

Schedule

Hybrid – this role requires 3 days per week in office