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# Senior Platform Engineer - Infrastructure

- **Company:** Recruiting from Scratch
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Elastic Compute Cloud, Cloud Computing, Relational Databases, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Object-Oriented Software Development, Software Engineering, Enterprise Software Applications, Large Language Models, Generative AI, AWS Lambda, Containerization, AI Platforms, Infrastructure Automation Frameworks, Terraform, Serverless Computing, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-platform-engineer-infrastructure-san-francisco-ca--1d248a49-b78a-4eea-ada5-05f019980673

## About the Role

Needs Assessment, Team Lead/Manager, Insurance, Artificial Intelligence (AI), Underwriting, Pricing, Distribution Operations, Facebook, Cloud Computing, Machine Tool, * 5+ years of professional software engineering, platform engineering, infrastructure engineering, or DevOps experience.

 * Strong hands-on experience with cloud infrastructure and production systems.
 * Experience building or maintaining CI/CD pipelines.
 * Strong understanding of infrastructure reliability, security, performance, and scalability.
 * Experience with Infrastructure as Code, ideally Terraform.
 * Experience with Docker or comparable container technologies.
 * Experience with cloud and serverless technologies, including environments involving AWS Lambda and EC2.
 * Experience designing or operating asynchronous workflows.
 * Comfortable working with relational databases, ideally PostgreSQL.
 * Strong system design, debugging, and general software engineering fundamentals.
 * Strong coding ability; Python is the primary language, although engineers from other object-oriented programming backgrounds may be considered.
 * Able to independently own projects and drive them to completion with limited oversight.
 * Proactive communicator who surfaces blockers and keeps stakeholders informed.
 * Comfortable operating in a fast-moving environment where experimentation and iteration are expected.

Preferred

 * Strong Python experience in production environments.
 * Experience building or operating distributed systems.
 * Experience with LLMs, generative AI, or infrastructure supporting AI/ML applications.
 * Experience optimizing cloud infrastructure for both performance and cost.
 * Experience designing observability and production incident-response practices.
 * Background supporting security- or compliance-sensitive enterprise software.
 * Experience working across application, data, ML, and infrastructure engineering teams.
 * Evidence of high ownership and the ability to solve ambiguous infrastructure problems independently.

## Description

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, * Build and improve the cloud infrastructure and internal tooling supporting a production AI platform.

 * Own and maintain CI/CD pipelines and improve the reliability and speed of engineering deployments.
 * Automate operational workflows and reduce manual infrastructure work.
 * Improve infrastructure performance, scalability, reliability, and security.
 * Monitor cloud usage and identify opportunities to improve infrastructure efficiency and cost.
 * Build and maintain infrastructure using Terraform and modern Infrastructure-as-Code practices.
 * Support containerized and serverless workloads across cloud environments.
 * Standardize development environments and deployment patterns across engineering teams.
 * Maintain and improve observability, monitoring, and incident response systems.
 * Partner with full-stack, data, ML, and DevOps engineers on scalable platform architecture.
 * Help maintain security and compliance requirements expected by enterprise insurance customers.
 * Debug complex production and infrastructure issues across distributed systems.
 * Take significant ownership over technical projects from design through production.