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This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams

Hiring Company: Suger

One-liner: Suger is a rapidly growing company that helps B2B software companies sell through cloud marketplaces.

Salary: $150K/yr - $200K/yr

Why Join Us:

Role Responsibilities

• Lead architecture and technical direction for core platform infrastructure and AI-powered customer-facing products, ensuring scalability, reliability, and long-term maintainability
• Design and evolve AI agent infrastructure, including orchestration, observability, safety, and integration with existing enterprise systems
• Own and deliver complex, cross-functional initiatives end-to-end, from problem definition and system design through implementation, deployment, and iteration
• Act as a technical multiplier, setting engineering standards, mentoring engineers, and raising the overall quality, velocity, and technical judgment of the team
• Partner closely with Product, Design, and Customer-facing teams to translate business and customer needs into robust AI-assisted and automation-driven solutions, including direct customer collaboration when needed
• Drive platform excellence at scale, improving system performance, reliability, CI/CD pipelines, cloud infrastructure, and AI system robustness
• Establish best practices for AI production readiness, including data quality, evaluation, monitoring, and failure handling in real-world enterprise environments

Qualitications

Required

• Bachelor's or Master's degree in Computer Science or a related field
• 6+ years of hands-on experience building and operating production systems in at least one of: Python, Go, TypeScript, Java, or C++
• Strong fundamentals in distributed systems, REST APIs, SQL, and system design
• Proven architectural leadership, including designing scalable platforms, making sound technical tradeoffs, and balancing near-term delivery with long-term platform health
• Experience designing or operating AI-enabled systems (e.g., AI agents, LLM-backed services, ML-powered workflows, or automation platforms), or strong interest in doing so
• Familiarity with cloud infrastructure (AWS, Azure, or GCP) and building reliable services on top of them
• Ownership mindset and strong communication skills - comfortable operating in ambiguity, collaborating cross-functionally, and clearly explaining complex technical decisions to both technical and non-technical stakeholders

Preferred

• Experience with Terraform, GitHub CI/CD, Docker, and Kubernetes is a strong bonus