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# Platform Engineer

- **Company:** EISEN, INC.
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Big Data, Software as a Service, Cloud Computing, Continuous Integration, Cursor (Graphical User Interface Elements), Document Management Systems, Queueing Systems, Application Enhancement Tool, Backend, Containerization, Kubernetes, Integration Frameworks, Restful APIs, Terraform, Webhooks, Docker
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/platform-engineer-eisen-8341470

## About the Role

* 5+ years experience in a high performing engineering team, ideally in a 0 -> 1 environment
 * Experience with backend services and integration patterns (REST, webhooks, message queues) with typed languages
 * Fluent in using AI tools (Cursor, Claude, Copilot, etc.) to brainstorm, prototype, and accelerate iteration
 * Interested in building production infrastructure in a modern cloud environment
 * Strong understanding of CI/CD, containerization (Docker, Kubernetes), and IaC (Terraform or similar)
 * Curious, resourceful, and unafraid to ask "why" when things aren't clear
 * Comfortable with ambiguity and energized by solving problems that don't have obvious answers
 * Collaborative, thoughtful communicator who makes people around you better
 * Bonus: Experience in fintech, data-heavy workflows, or workflow automation

## Description

You'll collaborate closely with our founder and product engineers to design scalable backend architecture, bring new services online, and integrate third-party systems securely and efficiently. You'll have ownership over technical direction and see your work have a direct impact on the company's success., Backend Integrations & Platform

 * Own and operate the backend systems that integrate with 3rd-party providers (e.g. authentication, payments, document management)
 * Design robust integration frameworks that simplify and standardize how we connect to external systems
 * Evolve shared libraries, templates, and workflows to enforce standards and reduce friction
 * Partner with other engineering teams to improve system performance, scalability, and reliability
 * Use AI-powered tools to accelerate development and discover innovative solutions to complex technical challenges
 * Apply strong computer science fundamentals to design and operate systems that handle large-scale data efficiently
 * Delivering reliable solutions on time and with attention to detail

Scalable and Secure Infrastructure

 * Design, build, and maintain cloud infrastructure that is secure, observable, and cost-efficient
 * Implement scalable CI/CD pipelines that accelerate safe deployments
 * Drive adoption of SaaS, IaC and best practices for environment management
 * Ensure systems are resilient through monitoring, alerting, and automated recovery


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