Senior (Quantitative) Software Engineer - ref. u4509523

Maritime transport, representing over 80% of global trade volume, faces substantial operational and financial risks.

At Triaina, we develop advanced predictive models, leveraging proprietary data to empower bulk-shipping stakeholders with superior decision-making and trading performance.

Signal Ventures, the investment arm of Signal, is a specialized venture capital firm focused on supporting early-stage technology startups and entrepreneurs in the shipping, logistics, mobility, and commodities sectors. With a track record of over 15 investments, 3 incubation projects, and successful exits for notable companies like OilX and nuTonomy, Signal Ventures is at the forefront of the industry.

About the role:

Your work will enable both fast experimentation and reliable, production-grade deployment of models.

What you will do:

• Core C++ Systems — Architect and implement performance-critical systems and computational models that support backtesting, predictive computation, and data-driven workflows.
• Data & Modeling Pipelines — Build Python frameworks for feature engineering, model training, evaluation, and deployment.
• Integration — Partner with researchers and data scientists to turn models into scalable, production-ready infrastructure.
• Optimization — Profile and tune systems across compute, memory, and distributed environments.
• Engineering Standards — Drive best practices in architecture, testing, CI/CD, and observability.

Requirements

• System architecture — Ability to design and evolve robust, reliable software architectures that can scale with the business.
• C++ mastery — Proven track record building performance-critical systems and driving architectural decisions.
• Python for ML pipelines — Strong ability to design and deliver data-driven workflows for feature engineering, model training, evaluation, and integration into production systems.
• Performance engineering — Skilled at profiling, benchmarking, and optimizing systems across compute and memory.
• Technical judgment — Demonstrated impact through independent decisions and delivery of production-grade systems.

Bonus points:

• Experience with cloud platforms (AWS, GCP, Azure) and distributed or serverless systems.
• Familiarity with DevOps practices, CI/CD pipelines, observability, and test automation.
• Domain knowledge in supply chain, logistics, or optimization systems.

Benefits

What we offer:

• Generous compensation with additional performance incentives.
• Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.
• Career growth opportunities and a structured development discussion every 4 months.
• Signal’s hybrid remote work policy currently includes 6 working days at premises per month,
• 2-4 weeks of onboarding training to prepare you for your new role
• Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
• Team Bonding & Events – Regular activities to connect with your team.

Ready to shape the future of shipping technology? Then go ahead and apply here!

Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.