Software Engineer
hace 13 horas
Barcelona
About Iqana Iqana is a Barcelona-based fintech startup delivering systematic, risk-managed exposure to digital assets. Our mission is to make institutional-grade crypto investing accessible through robust quantitative strategies and optimized portfolio construction. We help investors—ranging from high-net-worth individuals to Family Offices, hedge funds, and asset managers—gain secure, automated access to crypto markets via separately managed accounts (SMAs). Powered by proprietary algorithms and advanced risk frameworks, Iqana is building the next-generation infrastructure for digital asset investing: from data ingestion, strategy design, and execution to monitoring and reporting. We’ve just closed a successful pre-seed round and are backed by top investors and strategic advisors. We’re scaling our founding team to shape the future of how institutions access digital assets investments securely. About the Opportunity Are you passionate about AI, Digital Assets, finance, prediction markets, and building systems that transform how people invest? Do you want to work across cutting-edge infrastructure, the latest data sources, and high-impact execution systems? If so, this role is for you. We’re looking for a Software Engineer — AI & Trading Infrastructure to design, build, and scale the backbone of our algorithmic trading and SMA execution platform. You’ll work across our stack (Python, React/TypeScript, Django, AWS, APIs, data pipelines) and take responsibility for integrating AI-enhanced tools into real-world research and execution systems. From internal dashboards to trading infrastructure and monitoring tools, you’ll bring ideas to life. You’ll collaborate daily with our CTO, quant researchers, ML engineers, product, and design teams to turn complex ideas into production-ready systems. What a Typical Week Might Look Like • Work hand-in-hand with the CTO to architect and scale trading and portfolio infrastructure., • Ship features that integrate AI into investment research, execution workflows, and internal tools., • Build and enhance market data pipelines, optimize execution systems, and connect new venues and data sources., • Develop dashboards, monitoring tools, and fallback mechanisms to ensure smooth, real-time operations., • Join weekly product and strategy sessions with the founding team to align tech priorities with business growth., • Proactively monitor system health, review logs, and improve system resilience., • Test, learn, and iterate based on feedback and evolving research needs. Key Responsibilities • AI Research Infrastructure — Help design the systems that support multi-agent AI research workflows, enabling autonomous agents to analyze datasets (e.g. from Glassnode), critique insights, and collaborate on structured research outputs., • Backend APIs — Design and implement scalable APIs (REST/WebSocket) connecting AI, trading, and user-facing systems., • Data Infrastructure — Architect and optimize market data ingestion and ETL pipelines, integrating with multiple crypto exchange APIs and on-chain sources., • Cloud-Native Systems — Deploy scalable architectures on AWS (or equivalent) to support high-performance computation and fault-tolerant operations., • Innovation — Stay ahead of trends in trading infra, AI systems, and crypto technologies, applying them to real-world investor needs. What We’re Looking For • 4+ years of software engineering experience, ideally in a startup or fast-paced environment., • Experience with data integration and building robust ETL/streaming pipelines., • Solid understanding of cloud platforms (AWS, Azure) and cloud-native architecture., • Experience or strong interest in building tools and infrastructure to support AI-driven research, insight generation, or agent-based systems., • Ability to work with complex datasets and turn them into structured, explainable outputs via automation or ML-driven workflows., • Hands-on experience with APIs, • Familiarity with DevSecOps best practices, CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code. Nice to Have • Experience with financial data, trading systems, or quant research platforms., • Familiarity with agent-based architectures and frameworks supporting autonomous research agents, • Knowledge of market microstructure, order book modeling, or execution algorithms., • Familiarity with DeFi protocols, blockchain analytics, or on-chain data., • Prior experience building backtesting engines or simulation frameworks. What’s in it for you? • Founding team member opportunity — Be one of our first hires, build with us from day one, and shape the future of Iqana's trading infrastructure., • High-impact projects —Your work will directly support live strategies used by top-tier investors., • Fast-track career growth in a high-performance environment where your impact is visible and rewarded, and where you scale into leadership roles as the company and tech expand., • Meaningful equity package — Build this with us and share in the upside., • Be part of a top-tier fintech startup — Backed by experienced investors and advisors, building the future of digital asset investing., • High ownership and autonomy — You’ll design, build, and ship — no layers, no bureaucracy. We’re committed to investing in your future—whether it’s funding courses, certifications, or other educational opportunities, we want you to continually grow and excel. Career Progression As one of our founding engineers, you will start by owning critical systems and infrastructure design, evolve into Tech Lead for AI & Trading Infrastructure and later into a Head of Engineering as the team grows, and help build and mentor the next generation of engineers that will scale Iqana’s technology. Compensation At Iqana, we believe in transparency and competitiveness: • Base Salary Range: €38,000 - €51,000 gross annual + 10% bonus, • Equity Package: Meaningful equity package — share the upside as we grow from Pre-Seed to global scale., • Total Compensation: Competitive and designed to grow as we scale, with compensation reviews twice per year