Staff Software Engineer (Backend)

Currently at $8M+ ARR and scaling rapidly, the organization is deep in the development of its next-generation platform-a step change in the capabilities of AI agents. The backend is the core of this transformation, processing millions of signals to facilitate autonomous decision-making. Our client is seeking a Staff Software Engineer to serve in a foundational role, owning major segments of the platform infrastructure and driving high-throughput AI orchestration. The engineering culture is flat, high-velocity, and results-oriented. There is no red tape; engineers are expected to own outcomes end-to-end, from architecture and design to deployment and monitoring., * AI Orchestration: Design and build the high-throughput pipelines and services that allow autonomous agents to process massive volumes of data and make reliable, real-time decisions

• Platform Infrastructure: Own significant portions of a unified product stack that replaces traditional sales tools, including email infrastructure, CRM integrations, lead databases, and campaign engines
• End-to-End Ownership: Take full accountability for the lifecycle of features-designing, building, deploying, and monitoring services without a separation between architecture and implementation
• Rapid Iteration: Ship code constantly in a continuous release environment, maintaining high velocity while ensuring system stability
• Technical Leadership: Contribute to the technical roadmap, mentor peers, and maintain high standards for reliability, observability, and testing across a distributed system

• Experience: 6+ years of backend engineering experience, preferably within a high-growth startup environment where systems were owned end-to-end
• Technical Proficiency: Strong experience building and operating data-intensive services at scale. Expertise in TypeScript/Node is preferred, though proficiency in Python, Go, or similar languages is acceptable if fundamentals are strong
• Systems Knowledge: Deep understanding of distributed systems, database performance, and API design
• Cloud Infrastructure: Hands-on experience with cloud-native technologies, including containers, orchestration (Kubernetes/ECS), CI/CD, and monitoring
• AI-Native Workflow: A “5x engineer” mindset with the ability to effectively leverage modern AI coding tools to accelerate development
• Communication: Clear ability to explain complex technical systems to both engineering peers and product leadership
• Tech Stack Familiarity: Experience with or a desire to work in an environment utilizing PostgreSQL, Redis, Kubernetes, Mastra, Temporal, Langfuse, and AWS

• Recruiter Screen: An introductory chat to discuss background and alignment
• Technical Interview I: A 60-minute technical session with a member of the engineering team
• Technical Interview II: A second 60-minute session focused on deeper technical capabilities
• Leadership Interview: A 30-minute conversation with the CPTO regarding system design and vision
• Culture & Values Interview: A final 30-minute session with the CEO to ensure alignment with the organization’s core principles, * Meaningful Equity: Competitive salary paired with significant equity in a company with proven revenue and a clear path to a major outcome
• High Impact: Small team environment with a large scope of influence; engineers have a direct line to customer impact
• Complex Problem Solving: Opportunity to work on non-trivial backend challenges involving autonomous agents interacting with real-world infrastructure
• Founder Culture: An environment that values the “Founder Mindset,” where initiative is rewarded and ego is minimized