below marketmost similar roles pay hereabove market
This role pays more than
79%
of similar roles. Most pay
$184,850–$255,000
— the blue band above.
At the midpoint, this role pays about
$270k
versus about
$220k
for comparable roles.
Based on 240 similar postings.
Employer
About GitLab
GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.
GitLab currently has
53 open roles
on FindRole.
Listed pay typically runs
$152,800–$238,000
across 49 roles with salary data.
The Principal Engineer, Monetization Engineering joins the team to define and drive the next generation of the Fulfillment platform. This senior player-coach role involves setting architectural direction, making critical technical decisions, and leading an incremental modernization program to address challenges in scale, maintainability, and architectural complexity. Responsibilities include defining long-term technical strategy, establishing service boundaries, and mentoring senior engineers while remaining hands-on with prototypes and migrations. The role requires expertise in distributed systems, scalability, and data integrity. Candidates must demonstrate proficiency in Ruby, Go, and Python within polyglot systems, alongside practical experience using artificial intelligence for agentic coding and engineering workflows. The work focuses on entitlements, licensing, provisioning, seat management, usage visibility, and cost management across various deployment models like SaaS and Self-Managed.
What does a Engineer earn in Remote?
Median $199471 from 30 postings across 16 companies.
Define and communicate the long-term architecture, technical strategy, and migration sequencing for the Fulfillment platform.
Assess and mitigate risks regarding platform scale, reliability, performance, data correctness, and maintainability.
Drive architectural decisions for entitlements, provisioning, seat management, usage visibility, and cost management.
Establish service boundaries, data ownership, and integration patterns across billing, monetization, and product services.
Lead an incremental modernization program to improve the existing platform while delivering continuous business value.
Execute hands-on technical tasks including prototypes, critical implementations, migrations, and performance improvements.
Champion the adoption of practical artificial intelligence and agentic coding across engineering workflows.
Mentor Senior and Staff Engineers to improve technical decision-making quality across the organization.
What we're looking for
10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level.
Direct experience building, operating, or modernizing Fulfillment systems, including entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls.
Track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems.
Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis.
Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system.
Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows.
Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite.
Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments.
Platform Engineering
Infrastructure as Code
Go
Ruby
Python
Distributed Systems
Cloud Infrastructure
Observability
Tenant Orchestration
Failover
Scalability
Automation
Production Engineering
Large Language Models
Python
Go
Ruby
TypeScript
Distributed Systems
Agentic Orchestration
Observability
Model Evaluation
Retrieval
Human-in-the-loop
Data Governance
Incident Management