Engineering Lead – Gamma

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November 17

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Technosylva

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Artificial Intelligence • SaaS • B2B

<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.

51 - 200 employees

Founded 1997

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

• Own & evolve the core C++ modeling system: Maintain, refactor, and enhance an established codebase that drives large-scale peril specific loss simulations with complex financial modelling. • Implement new catastrophe risk and financial models as they are designed. • Modernize the stack: Refactor legacy components toward a modular, containerized architecture with improved deployment automation. • Data-driven simulation accuracy: Work with historical and meteorological datasets to ensure scientifically sound, reproducible results in partnership with our Science team. • Performance & reliability at scale: Profile and optimize an I/O-intensive architecture (distributed processes, partial in-memory reads, lz4 binary outputs ~500 MB/core) to meet strict enterprise SLAs both on client infrastructure deployed environments and as a cloud based SaaS solution. • Guide integration: With APIs and visualization components to support new user experiences. • Distributed compute orchestration: Enhance the server-side job scheduler, proxies, and API daemon that coordinate asynchronous batch processing for API clients (including the web front end). • Modernize the web layer: Lead the transition from R Shiny components to a more traditional web stack (IIS/Apache, JavaScript, HTML, CSS) while keeping the system loosely coupled. • Database stewardship: Guide data modeling and performance tuning on our SQL Server backend; ensure data quality, lineage, and operational resilience. • Engineering leadership: Set technical direction, establish coding standards and CI/CD practices, mentor engineers, and drive pragmatic execution across a cross-disciplinary team. • Security & reliability: Strengthen authentication (pluggable approach), observability, and incident response; champion testing and automation throughout the stack. • Customer impact: Collaborate with Product and customer-facing teams to translate enterprise needs into roadmaps, features, client specific consulting projects, and measurable outcomes.

🎯 Requirements

• Strong proficiency in C++ for scientific/engineering or high-performance systems. • Experience working with large datasets and performance-sensitive pipelines (I/O intensive workflows, compression, concurrency). • Solid debugging, profiling, and optimization skills across Linux/Windows environments. • Demonstrated ability to lead or mentor a small engineering team. • Ability to collaborate effectively with Data Engineering, Science, and Product teams; clear written and verbal communication. • Minimum level of written and spoken English, C1.

🏖️ Benefits

• Competitive annual salary. • Attractive benefits package based on country of employment. • Flexible working hours. • Remote work options available.