Location: San Francisco, CA (On-site)
Company Stage of Funding: Series A
Office Type: On-site
Salary: $140,000 – $290,000 + Competitive Equity
Visa: No sponsorship (exceptional cases considered)
Our client is building the infrastructure layer for modern recruiting, creating an AI-powered marketplace that helps companies hire faster and more accurately through specialized recruiters and AI systems.
Their platform powers hiring workflows for companies like Palantir, Cognition, Decagon, and Abridge, combining marketplace operations, matching algorithms, payments infrastructure, integrations, and AI tooling into a unified recruiting platform.
This is an opportunity to join a hyper-growth Series A startup at a critical inflection point, where a lean engineering team is driving massive business scale and every engineer has outsized ownership across product and infrastructure.
Own and scale core backend systems powering the marketplace platform
Optimize PostgreSQL performance, schema design, and query efficiency
Build and maintain backend services for matching, payments, recruiter workflows, and marketplace operations
Develop and manage third-party integrations, APIs, webhooks, and data synchronization systems
Own infrastructure and CI/CD pipelines across AWS and Terraform environments
Improve observability, deploy reliability, and production debugging workflows
Strengthen authentication, access control, and data security systems
Build internal AI tooling and infrastructure to improve engineering productivity
Contribute to architectural decisions across backend systems and platform scalability
Maintain high system reliability in production environments
Participate in on-call rotations and incident response
Collaborate closely with a lean, high-performing engineering team
Move quickly in a high-ownership startup environment with minimal bureaucracy
3–8 years of backend engineering experience
Strong production backend systems experience
Strong PostgreSQL expertise including optimization and schema design
Experience building scalable backend infrastructure in production
Hands-on CI/CD and cloud infrastructure experience
Experience with APIs, integrations, and distributed systems
Startup or marketplace engineering experience
Strong ownership mindset
Comfortable operating autonomously
Strong written communication skills
Pragmatic engineering decision-making
Comfortable maintaining and improving existing systems
Ability to prioritize impact over over-engineering
Experience at high-growth startups or marketplace companies
Strong PostgreSQL scaling and optimization experience
Experience with observability tooling like Datadog
Hands-on Terraform and AWS/GCP infrastructure experience
Experience building authentication and access control systems
Strong production debugging skills
Experience building reliable integrations and webhook systems
AI tooling or AI infrastructure experience
Strong CI/CD ownership experience
Comfortable in fast-moving startup environments
Strong product and engineering intuition
Ability to identify and solve problems proactively
Experience supporting production systems at scale
Base salary: $140,000 – $290,000
Competitive equity package
High-impact ownership across core platform systems
Direct influence on product and engineering direction
Work alongside a lean, high-caliber engineering team
Exposure to large-scale marketplace and AI infrastructure problems
Strong startup growth trajectory
Backed by top-tier investors including Scale, Felicis, A*, BOND, and DST Global
This is an opportunity to help build the backend infrastructure powering the future of AI-enabled recruiting.
You’ll work on high-scale marketplace systems, infrastructure, integrations, payments, and AI tooling inside one of the fastest-growing startups in the hiring ecosystem.
If you want deep ownership, difficult backend engineering challenges, and the opportunity to shape the technical foundation of a rapidly scaling platform, this role offers exceptional leverage.
Recruiting from Scratch provides recruiting services for companies that need to hire the best talent in software engineering, hardware engineering, product design, product management, marketing, GTM, and accounting & finance.
