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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure/Platform Engineer - **Company:** Recruiting from Scratch - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $175,000 - $275,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Software Debugging, DevOps, Programming Tools, Distributed Systems, Fault Tolerance, Monitoring of Systems, Software Architecture, Software Deployment, Software Systems, Systems Integration, Data Logging, Google Cloud, Enterprise Software Applications, Multi-Cloud, Reliability of Systems, Agentic-AI, B2b Software, Build Management, Containerization, Integration Tests, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Integration Frameworks, Virtual Agents - **Published:** November 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/infrastructure-platform-engineer-san-francisco-ca--ae5b4474-9343-46fd-b552-bc9c6a4986ed ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Software as a Service (SaaS), Enterprise Applications, Automation, Cloud Computing, Programming Tools, Business-to-Business (B2B) Software, Integration Testing, Test Plan/Schedule, * 3-12 years of experience in cloud infrastructure, platform engineering, or closely related engineering roles * Strong experience owning core infrastructure end-to-end * Experience at a venture-backed startup or high-growth technology company preferred * Experience building infrastructure from scratch * Experience working on greenfield infrastructure or platform projects * Strong production infrastructure engineering experience * Experience operating infrastructure in fast-moving environments * Experience owning systems through architecture, implementation, deployment, and ongoing operation * Experience working closely with engineering leadership or technical founders * Experience operating independently with significant technical ownership * Experience working in ambiguous and rapidly changing environments * Experience building infrastructure for production software systems * Experience working with cloud platforms at meaningful scale * Experience with Kubernetes in production environments * Experience building and shipping platform code rather than purely operating infrastructure * Experience working on complex distributed systems preferred * Experience working at high-growth startups or strong technology scale-ups preferred * Experience with multi-cloud or self-hostable infrastructure preferred * Strong individual contributor mentality * Demonstrated ability to solve difficult infrastructure problems independently * Track record of building reliable systems from the ground up Technical Requirements * Deep production Kubernetes expertise * Experience operating, scaling, and debugging Kubernetes clusters * Strong expertise in AWS, Azure, or GCP * Strong understanding of cloud infrastructure architecture * Experience designing production-grade infrastructure * Experience with containerization and orchestration * Strong understanding of networking, compute, storage, and cloud primitives * Experience designing scalable deployment architectures * Experience building platform infrastructure rather than solely performing SRE or DevOps functions * Experience writing production platform or infrastructure code * Strong understanding of distributed systems * Experience with infrastructure automation and deployment systems * Experience designing reliable runtime environments * Experience with observability systems including logging, metrics, tracing, and monitoring * Experience building systems for production reliability and fault tolerance * Experience designing secure and isolated execution environments preferred * Experience with sandboxing or workload isolation preferred * Experience building self-hostable or single-tenant deployments preferred * Experience designing multi-cloud infrastructure preferred * Experience working with AWS, Azure, or GCP deployment environments * Experience with infrastructure-as-code and automated deployment workflows preferred * Experience building systems that support AI or agentic workloads preferred * Familiarity with AI agent infrastructure and autonomous software systems preferred * Experience supporting production workloads with complex operational requirements * Strong debugging and incident-response capabilities * Strong understanding of reliability, scalability, and performance * Ability to quickly understand unfamiliar infrastructure systems * Ability to make pragmatic infrastructure trade-offs in an early-stage environment * Comfortable building infrastructure with limited existing patterns or documentation, * Bachelor's degree preferred * Computer Science, Engineering, Mathematics, or equivalent technical disciplines preferred * Degree from a top-30 Computer Science program preferred when professional experience is not sufficiently strong * Strong practical infrastructure engineering experience can compensate for academic pedigree Soft Skills * Extremely high agency and ownership * Strong bias toward action * Comfortable operating independently * Strong builder mentality * Comfortable building infrastructure from scratch * Strong technical judgment * Comfortable making architectural decisions with incomplete information * Comfortable operating in highly ambiguous environments * Strong problem-solving ability * Excellent debugging instincts * Strong sense of urgency * Comfortable shipping continuously * Comfortable working directly with technical founders * Low-ego and highly collaborative * Strong communication skills * Able to explain complex infrastructure concepts clearly * Comfortable taking full responsibility for infrastructure outcomes * Strong product and business judgment * Comfortable balancing reliability with speed * Comfortable working without extensive processes or structure * Strong ownership of production systems * Comfortable operating as a true individual contributor * Willing to help recruit future infrastructure engineers * Interested in eventually helping build an infrastructure team * Comfortable working in a very small engineering organization * Excited by greenfield infrastructure challenges * Comfortable with high-growth startup intensity * Strong attention to operational reliability * Comfortable dealing with difficult production problems * Comfortable working onsite five to six days per week in San Francisco ## Description Artificial Intelligence, Infrastructure, Platform Engineering, Developer Tools, Enterprise Software, B2B SaaS, Workflow Automation, AI Agents, Cloud Infrastructure, Integration Platforms, * Build the core runtime infrastructure powering mission-critical integrations * Design and build a scalable integration runtime similar to a "Vercel for integrations" * Build durable execution systems for long-running integration workflows * Design sandboxed execution environments for safely running integration code * Build self-healing infrastructure that can detect and recover from failures * Build and scale the agent infrastructure powering coding agents * Support AI agents that write, test, and deploy integration code into production * Design reliable execution environments for autonomous software agents * Build infrastructure that allows agents to operate safely and reliably in production * Design and implement the observability layer for integrations and AI agents * Build monitoring, logging, tracing, and alerting systems * Give enterprise customers visibility into the health and behavior of their integrations * Architect and ship single-tenant deployments for enterprise customers * Build self-hostable versions of the platform that customers can run inside their own cloud environments * Design multi-cloud deployment architectures across AWS, Azure, GCP, and similar environments * Build reusable infrastructure and platform components that can support future deployments * Operate and scale production Kubernetes clusters * Debug complex Kubernetes and cloud infrastructure issues * Design reliable cloud infrastructure for high-growth production workloads * Build deployment systems that support rapid and repeatable customer environments * Establish infrastructure patterns, standards, and best practices for the engineering organization * Work closely with the CTO on infrastructure architecture and technical strategy * Make independent architectural decisions in a highly ambiguous environment * Identify infrastructure bottlenecks and improve system reliability and performance * Build infrastructure from scratch rather than simply maintaining existing systems * Balance speed of execution with reliability, security, scalability, and operational simplicity * Help identify opportunities to generalize customer-specific infrastructure requirements into reusable platform capabilities * Contribute to the architecture of the company's long-term infrastructure platform * Help recruit strong infrastructure engineers as the team grows * Eventually help build and lead the infrastructure engineering organization * Take ownership of infrastructure outcomes rather than simply completing assigned tickets * Ship continuously in a fast-moving startup environment * Operate with high autonomy and minimal hand-holding * Establish the technical foundation that future infrastructure engineers will build upon