Lead Backend Engineer

vor 3 Wochen


Zürich, Schweiz Optiml Vollzeit

Lead Backend Engineer – Optiml Optiml is revolutionizing real estate with our Real Estate Decision Intelligence (REDI) software – an AI‑powered platform that decarbonizes buildings while optimizing asset and portfolio performance. Since launch in April 2024, we have scaled across Europe and the US, winning three major PropTech awards: 2024 ULI Europe PropTech of the Year 2024 ZIA PropTech of the Year We are backed by $6M in pre‑seed funding from top‑tier US and EU funds, including Innovation Endeavors, Planet A, BitStone, and Kompas. Responsibilities Lead engineering development of core product components. Ramp up quickly on domain knowledge in real estate and buildings industry. Innovate solutions to solve customers’ problems. Own the full development lifecycle from prototype to production. Collaborate with peers on architecture, design, and code reviews. Simplify complexity, guide the team toward clear, pragmatic solutions. Mentor engineers, raise standards, and help the team move faster with confidence. Build scalable systems that can grow with Optiml from startup to scale‑up. Qualifications MSc in Computer Science, Mathematics, or equivalent. 7+ years designing, building, and maintaining data‑intensive applications. Expertise in system architecture, algorithms, and performance optimization. Proven record of shipping and scaling back‑end systems (Python, C++). Experience bridging production‑grade engineering and research (Optimization, ML). Ability to make sound trade‑offs and drive outcomes balancing speed and quality. Outstanding written and verbal communication skills in English. Desire to work from our Zurich office. Nice to have Experience in startups moving to scale‑up. Knowledge of financial modeling or physics‑based simulations. Benefits Learning and development budget of CHF 1k (conferences, certificates, etc.). Comprehensive accident insurance (UVG) covered. Flexible parental leave and hybrid work setup. Referrals increase your chances of interviewing at Optiml by 2x. #J-18808-Ljbffr


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