Senior Backend Engineer

About the Role This is a high-impact individual contributor role on the engineering team of an early-stage AI/ML platform company focused on cloud-native architecture intelligence. You will design and build the intelligent backend 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 features. - Build services that identify architecture patterns and deliver actionable visibility to 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 contribute to a strong, collaborative engineering culture. What We're Looking For - 4+ years of backend engineering experience at top-tier startups or technology companies, building production-grade systems. - Proven track record building scalable, distributed systems and microservices architectures, ideally in 0-to-1 product environments. - Expertise in Go or Python with a commitment to clean, idiomatic, maintainable code. - Hands-on experience with data pipelines, observability systems, and monitoring infrastructure for production services. - Deep knowledge of DevOps tooling, infrastructure-as-code, and cloud-native technologies. - Experience integrating or building with LLM-based systems, AI workflows, or multi-agent architectures. - Strong aptitude for performance tuning, debugging complex systems, and technical architecture design. - Prior startup experience and comfort operating with autonomy and ownership in fast-moving environments. - Practical experience with fault-tolerant workflow design and resilience patterns in mission-critical services. - Proficiency with AI-assisted development tools (such as Cursor or similar). - Strong Computer Science fundamentals; graduate-level education is a plus. - Domain experience with cloud architecture, infrastructure optimization, or technology stack modernization is a bonus. Compensation & Benefits - Salary: $160,000 to $200,000 per year (USD) - Visa sponsorship: Not available Location Fully remote, open to candidates based in the United States.