Senior Software Engineer – Backend & Algorithms (Early-Stage Tech Startup)

Senior Software Engineer – Backend & Algorithms (Early-Stage Tech Startup)

A well-funded early-stage technology startup is looking for a Senior Software Engineer (Backend & Algorithms) to join its core engineering team. The company is developing a next-generation platform that transforms how engineering teams design, collaborate, and build complex products. This is a rare opportunity to join at an early stage, shape architecture and infrastructure, and work on sophisticated algorithmic and distributed systems challenges.

If you enjoy solving hard problems, building modern backend systems, and working at the intersection of classical algorithms and AI — this role offers true impact and ownership.

🌟 What You’ll Work On

• Design, build, and evolve large-scale distributed systems and algorithm-intensive applications.
• Develop core backend infrastructure using Python, C#, and optionally TypeScript.
• Work at the intersection of backend engineering and algorithms, from orchestrating ML pipelines to creating developer-friendly APIs and SDKs.
• Collaborate across engineering, product, and data teams to deliver high-performance features end-to-end.
• Take part in architectural decisions that shape the company’s technical direction.
• Explore cutting-edge challenges in AI, data, scalability, and system design.
• Contribute directly to a product used by global engineering teams working with complex 3D data.

🔍 What You Bring

• BSc in Computer Science, Engineering, or a related field.
• Expertise in backend development using Python / .NET / Java.
• Strong experience designing distributed systems and high-scale services.
• Deep understanding of cloud infrastructure, microservices, and data-intensive systems.
• Comfort with CI/CD, observability, and operational excellence.
• A mindset oriented toward growth, curiosity, and user-centered problem solving.
• Ability to work both independently and collaboratively in a fast-moving environment.

💡 Bonus Experience

• Experience with AI/ML workflows: LLMs, RAG pipelines, computer vision, or large-scale inference.
• Experience with TypeScript, especially React or Node.js.