Note: The job is a remote job and is open to candidates in USA. Nscale is a GPU cloud engineered for AI, providing high-performance infrastructure for AI start-ups and large enterprises. The Principal Engineer (Product) role involves leading architecture decisions and hands-on delivery across platform capabilities, focusing on building scalable and reliable AI-native products.
Responsibilities
- Design foundational platform capabilities across APIs, services, workflows, and data/control planes
- Implement reliable, secure systems that support Nscale’s managed AI services stack
- Drive architecture decisions that balance scalability, reliability, security, and cost efficiency across distributed systems
- Translate ambiguous product and platform challenges into crisp technical designs and execution plans
- Raise the engineering bar through rigorous design reviews and strong testing strategy
- Improve system resilience with robust observability and modern reliability practices
- Lead post-incident learning and continuous improvement across the platform
- Apply strong code quality, performance, and production engineering fundamentals in day-to-day delivery
- Embed security, IAM, privacy, and governance into system design and delivery by default
- Strengthen operational readiness across services and platform components
- Support production excellence through incident response and ongoing system improvement
- Contribute to high-availability service design with attention to reliability and cost optimisation
- Partner with squads across the firm to align on interfaces, ownership, and execution
- Communicate technical direction clearly across engineers, PMs, and executives
- Balance short- and long-term priorities to keep teams moving while building for scale
- Scale team effectiveness through alignment, strong design, and clear technical communication
- Improve delivery velocity through platform leverage, automation, and tooling
- Use AI responsibly to accelerate software delivery and scale operations
- Leverage modern cloud-native patterns and systems thinking to evolve large-scale platforms
- Advance the managed AI services stack with practical, high-impact engineering improvements
Skills
- 15+ years building and shipping production platforms at scale
- Strong experience with distributed systems and cloud-native environments
- Proven expertise with Kubernetes, CI/CD, and reliability patterns
- Proficiency in Python, Go, and/or Rust
- Strong fundamentals in code quality, testing, and performance
- Deep experience in observability, incident response, and continuous improvement
- Strong security fundamentals including IAM, data protection, and governance in production environments
- Experience collaborating effectively across engineers, PMs, and executives
- Ability to leverage AI to build, evolve, and maintain large-scale systems
- Experience with developer platforms, control planes, APIs, SDKs, or CLIs is a plus
Benefits
- Bonus
- Equity
- Commission programs
- Competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation
- Performance reviews every 12 months
- Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments
- Dynamic progression plan tailored to your ambitions
- Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support
Company Overview