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.