LegitScript

Data Engineer

• Own the full lifecycle — from raw data ingestion to model deployment to measuring real-world business impact
• Research, prototype, and develop ML and LLM-based models to solve complex business problems
• Wrap models into production-ready APIs and integrate them into our core product
• Ensure model outputs are interpretable — translating predictions into actionable reason codes for end users
• Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time
• Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake
• Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers
• Build and maintain curated datasets optimized for both analytics and model training use cases
• Implement and maintain CI/CD pipelines for both data workflows and ML model deployment across environments
• Monitor pipeline latency, data drift, and model performance in production; design alerting and retraining triggers
• Own the business outcomes of your models — define success metrics, track ROI, and iterate based on real-world efficacy
• Manage infrastructure as code and containerized deployments to ensure reproducible, environment-consistent releases

Senior Data Science Engineer

Platform Engineer

• Lead the platform engineering team: own its delivery, reliability commitments, health, and the growth and career development of its engineers, while remaining hands-on in the infrastructure and tooling yourself
• Make LegitScript’s infrastructure auditable: own environment separation, change control, access management, and audit logging so that changes to production are traceable and defensible, and so the controls hold up to the Secure SDLC Policy, the Change Management Policy, and SOC 2 evidence requirements
• Drive the migration to a standardized Kubernetes deployment path, delivered incrementally at natural replacement points while maintaining operational continuity for the teams and services that depend on it
• Build and own the developer tooling and self-service deployment paths that let engineers ship application code to production without hand-managing infrastructure: the paved road, the golden paths, and the guardrails that make the safe way the easy way
• Own and improve the CI/CD pipeline and its controls, including branch protection, required peer review, automated security and quality testing, and gated deployment, so the pipeline enforces our engineering and security standards at scale
• Establish infrastructure-as-code standards in Terraform and bring manual or unmanaged production changes under version control and change management, eliminating the drift that creates technical debt and audit gaps
• Reduce business-as-usual toil through automation and replatforming, so that volume growth stops being a headcount equation and engineering capacity shifts toward higher-value work
• Own reliability, monitoring, alerting, and incident response for infrastructure as first-class concerns; serve as an escalation point and coordinate response for infrastructure incidents
• Hold the boundary with the application platform: provide the infrastructure substrate and tooling that the application-platform and domain teams consume, and partner with the Staff Engineer who owns that platform rather than duplicating or absorbing their scope
• Set and enforce the standard for infrastructure code quality, testing, documentation, and review, and raise the bar for the engineers and partners who work in the platform through clarity and example
• Manage cloud cost and capacity deliberately, making the tradeoffs between performance, reliability, and spend explicit rather than incidental
• Foster a culture of accountability, collaboration, and continuous improvement.

Manager, Platform Engineering

Full-stack Engineer

• Own the architecture, scalability, and reliability of the certification platform
• Own the quality and technical realization of the certification product experience
• Shape the roadmap in partnership with the Certification Innovation Manager and the Director of Certification Strategy
• Work directly with the merchants and advertisers who use the portal
• Establish and enforce Salesforce engineering governance
• Define architectural standards
• Lead modernization while maintaining operational continuity
• Own security and reliability for an externally facing portal
• Design and own integrations between the certification platform and LegitScript’s broader CRM, APIs, and third-party systems
• Foster improvements to the Certification Console and internal Salesforce tools

Senior Data Science Engineer

Manager, Platform Engineering

Staff Product Engineer – Certification