Senior Backend Software Engineer

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.https://www.recruitingfromscratch.com/ Title of Role: Senior Software Engineer, Backend (Infrastructure) Location: San Francisco, CA Company Stage of Funding: Early-stage (recently raised ~$30M+, Series A upcoming) Office Type: On-site (5 days/week) Salary: $250,000 – $300,000 + Competitive Equity + Bonus (profit share) Company Description Our client is a rapidly growing AI infrastructure company building the backbone for next-generation agentic systems and data workflows. They are working at the frontier of AI by enabling large-scale data generation, evaluation pipelines, and human-in-the-loop systems that power advanced machine learning models. The company is already generating significant revenue with strong growth and is collaborating with leading AI labs and high-growth startups. With a highly technical and talent-dense team, they are tackling some of the most complex infrastructure challenges in AI today. Operating across domains like healthcare and finance, they are building scalable systems to support massive data throughput and real-time processing—positioning themselves as a key infrastructure layer in the evolving AI ecosystem. What You Will Do Design and build core infrastructure powering data generation, evaluation pipelines, and AI systemsOwn scalability, reliability, and performance of foundational backend systemsArchitect distributed systems to handle high-throughput, large-scale datasetsCollaborate with product and vertical engineering teams to enable rapid developmentEstablish best practices for system design, observability, and deploymentImprove infrastructure for real-time and batch processing workloadsMentor junior engineers and contribute to a high-performance engineering cultureWork across the stack when needed (backend-heavy with some full-stack exposure)Take ownership of critical systems from design through production Ideal Candidate Background 5–8 years of software engineering experienceStrong backend and infrastructure experience (distributed systems, scalability, reliability)Experience building and operating production systems in cloud environments (AWS or GCP)Proficiency in languages such as Python or Node.jsExperience with modern infrastructure tools (Kubernetes, Kafka, Redis, etc.)Strong understanding of system design, data architecture, and high-throughput systemsExperience working in startup or high-growth environmentsAbility to operate independently and take ownership of critical systems Preferred Experience working on data infrastructure, ML pipelines, or human-in-the-loop systemsBackground at high-growth startups, data platforms, or quantitative environmentsExperience with real-time systems, event pipelines, or streaming architecturesFamiliarity with Elasticsearch or large-scale search/indexing systemsStrong academic background in computer science or related fieldExperience mentoring engineers or acting as a technical leader Compensation and Benefits Competitive base salary: $250,000 – $300,000Competitive equity packagePerformance-based bonus (profit share upside)Opportunity to work on cutting-edge AI infrastructureHigh ownership and impact as an early engineering hireWork alongside a highly technical and talent-dense teamFast-growing company with strong revenue traction