Senior backend engineer

About the Role

This is a high-impact individual contributor role on the backend engineering team of an early-stage AI-native platform for cloud architecture planning. You will design and build the intelligent systems that power observability, architecture modeling, and AI-driven recommendation engines, sitting at the intersection of distributed systems, data pipelines, and ML infrastructure.

What You'll Do

• Design and build scalable backend systems powering observability, architecture modeling, and recommendation engines using data pipelines, microservices, and system modeling techniques.
• Collaborate with AI engineers to embed LLM-based and multi-agent intelligence within the platform, enabling rich recommendations and generative planning capabilities.
• Contribute to core architecture capabilities by identifying patterns, building services that reflect architecture decisions, and ensuring actionable visibility for users.
• Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services.
• Work cross-functionally with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities.
• Share learnings and mentor teammates to strengthen overall engineering culture.

What We're Looking For

• 4+ years of backend engineering experience at high-growth startups or technology companies, building production-grade systems.
• Proven track record designing scalable, distributed systems and microservices architectures in production environments.
• Expertise in Go or Python with a commitment to clean, idiomatic, maintainable code.
• Experience building data pipelines, observability systems, and monitoring infrastructure for production services.
• Hands-on experience with DevOps tooling, infrastructure-as-code, and cloud-native technologies.
• Experience integrating or working with LLM-based systems, AI workflows, or multi-agent architectures.
• Track record of building 0-to-1 systems or products from inception in startup or early-stage environments.
• Demonstrated skill in performance tuning, debugging complex systems, and technical architecture design.
• Practical experience with fault-tolerant workflow design and resilience patterns in mission-critical services.
• Comfort and proficiency with AI-assisted development tools.
• Strong computer science fundamentals; graduate-level education is a plus.
• Domain experience in cloud architecture, infrastructure optimization, or technology stack modernization is a bonus.

Compensation & Benefits

Base salary: $160,000 to $200,000 USD annually, plus equity. Visa sponsorship is not available for this role.

Location

Fully remote.