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# Senior Backend Engineer, Growth & MSSP

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Audit Trail, Microsoft Azure, Software as a Service, Python (Programming Language), Software Engineering, TypeScript, Software Application Programming, Backend, Information Technology, Production Code, Docker, Golang, Programming Languages
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pq030wp7bc

## About the Role

* Bachelor's degree in Computer Science or a related field
 * 7+ years of software engineering experience in modern programming languages, such as Python, Go, TypeScript, or similar
 * Experience building applications on cloud platforms, such as AWS, Azure, or GCP, using Docker and Kubernetes
 * Experience with multi-tenant SaaS platforms, including tenant isolation and access controls
 * Hands-on experience with licensing, subscription, entitlement, and usage metering systems

## Description

This role will focus on building the backend systems that support customer lifecycle workflows, access controls, and subscription-based capabilities within a multi-tenant SaaS environment. You will partner closely with product and engineering teams to improve provisioning, onboarding, observability, and compliance-related functionality. The work will also support managed security service provider offerings and help ensure a scalable, reliable experience for customers., * Design and implement backend services for licensing and access control

 * Build provisioning and onboarding workflows for automatic customer activation
 * Develop infrastructure for user access controls and account settings
 * Build capabilities for managed security service provider offerings
 * Implement audit logging for compliance and support purposes
 * Develop a notifications platform for user alerts and announcements
 * Contribute production code with high standards of quality and observability