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.

Visa sponsorship:

Not available

Location

Fully remote, open to candidates based in the United States.