Nacre Capital
11 - 50 employees
🤝 B2B
💳 Fintech
🧬 Biotechnology
B2B • Fintech • Biotechnology
Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
Principal / Staff Software Engineer – Backend, MLOps, Cloud Infrastructure
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Nacre Capital
11 - 50 employees
🤝 B2B
💳 Fintech
🧬 Biotechnology
B2B • Fintech • Biotechnology
Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.
📋 Description
• Lead the architectural design, evolution, and scaling of our distributed backend microservices and machine learning platforms. • Establish, champion, and enforce engineering best practices across the organization, including rigorous code reviews, automated testing, design docs, and security protocols. • Mentor and coach senior engineers, fostering a culture of technical curiosity, continuous learning, and high execution velocity. • Design and implement high-performance, resilient, and secure cloud-native solutions using Python and modern web application frameworks. • Architect and optimize data layers, ensuring database designs (SQL and NoSQL) are tuned for high throughput, low latency, and long-term scalability. • Drive the containerization and orchestration strategy using Docker and Kubernetes to ensure seamless deployments and efficient resource utilization. • Build and maintain robust MLOps infrastructure to streamline the entire ML lifecycle—from data pipelining and model training to production deployment and monitoring. • Own and secure our AWS cloud infrastructure, optimizing complex networking setups including VPCs, DNS, ingress controllers, and service meshes. • Architect end-to-end CI/CD pipelines and DevOps automation to facilitate reliable, friction-free daily deployments. • Cultivate absolute system visibility by implementing comprehensive observability stacks (Datadog, Prometheus, Grafana, OpenSearch/ELK) and distributed tracing.
🎯 Requirements
• Core Development: Mastery of Python and deep experience building enterprise-grade backend systems and web applications. • Distributed Systems: Proven track record in microservices architecture, API design, asynchronous event-driven patterns, and system scalability. • Cloud & Networking: Deep, hands-on expertise with AWS cloud infrastructure, networking configurations (VPCs, DNS, Ingress, Service Mesh), and infrastructure as code. • Containers & Orchestration: Production-level mastery of Docker and Kubernetes for scaling and managing containerized workloads. • Data Management: Strong proficiency in database design, query optimization, and handling complex data lifecycles. • MLOps Foundations: Experience building or integrating machine learning infrastructure, model deployment pipelines, and ML feature stores. • Observability & DevOps: Expert knowledge in deploying logging, metrics, and tracing stacks (Datadog, Prometheus, Grafana, ELK) alongside bulletproof CI/CD pipelines. • Experience: 9+ years of professional software engineering experience, with at least 3+ years spent operating at a Staff, Principal, or equivalent technical leadership capacity. • Track Record: Demonstrated success in designing and operating large-scale distributed cloud systems from the ground up. • Mindset: A strong sense of ownership, a passion for automation, and the communication skills required to translate complex technical visions into actionable team execution. • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
🏖️ Benefits
• Competitive salary and equity packages. • The opportunity to significantly shape the technical trajectory of an innovative, growing company. • Remote work and flexibility. • Budget for continuous learning, conferences, and professional development.
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