• Act as the technical lead for Data Operations, owning the operational readiness of modern data pipelines built on Airflow, Spark, and cloud data infrastructure • Lead incident triage and resolution for Tier 1 and Tier 2 pipeline issues (data delays, job failures, data quality alerts, SLA breaches) • Establish clear runbooks, escalation paths, and operational best practices for pipeline support • Partner with Data Engineering to influence pipeline design with operability, observability, and supportability in mind • Design and improve monitoring, alerting, and dashboards for data pipelines and workflows • Implement automation to reduce manual intervention (auto-retries, self-healing workflows, standardized alerts) • Drive root cause analysis (RCA) and post-incident reviews to prevent recurring issues • Continuously improve pipeline reliability, performance, and cost efficiency • Mentor and upskill team members transitioning from SQL Server–centric workflows to Airflow, Spark, ELK stack, and distributed data systems • Create learning paths, documentation, and hands-on guidance for modern data tooling • Lead by example with hands-on troubleshooting, debugging, and operational support • Help establish a culture of ownership, quality, and continuous improvement within Data Operations • Work closely with Data Engineering, Platform, and Product teams to align on priorities and operational expectations • Serve as a bridge between legacy data systems and the modern data platform during the transition period • Provide feedback on operational gaps, tooling needs, and process improvements

• Lead Platform Engineering Initiatives: Own the technical roadmap and execution for Core Platform services which are the foundations for the business application verticals, and enabling them at scale. • Build and Grow High-Performing Teams: Manage, mentor, and develop a team of backend engineers; conduct 1:1s, performance reviews, career development conversations, and hiring • Drive Cross-Functional Collaboration: Partner with product engineering teams to understand their needs and evolve the platform to serve them better; act as an internal consultant and evangelist for platform adoption • Architect Scalable Platform Solutions: Own the design and implementation middleware and services that support multiple applications; ensure platform components are composable, flexible, secure-by-default, and self-service. Participate in architecture reviews, write RFCs, and drive technical decision-making; stay hands-on with code reviews and technical guidance when needed • Champion Engineering Excellence: Establish best practices for platform development including API design, versioning, backward compatibility, observability, and documentation; reduce cognitive load for platform consumers. • Balance Technical Debt and Innovation: Make strategic tradeoffs between feature velocity, technical debt, and platform evolution; use data and ROI frameworks (RICE, etc.) to prioritize initiatives • Improve Developer Experience: Measure and optimize platform adoption, API usability, and developer productivity; build tools and documentation that enable self-service • Navigate Healthcare Complexity: Understand the unique constraints of healthcare systems including compliance, data security, multi-tenancy, and audit requirements; ensure platform solutions meet healthcare standards • Own Operational Excellence: Ensure platform services meet SLAs for availability, performance, and reliability; Establish monitoring, alerting, and incident response processes

• This is a hands-on role: You will be deeply involved in architectural design, part-time on coding and code reviews • Lead the development and production releases of robust, observable and intuitive solutions and workflows for healthcare subrogation product lines • Manage a small and nimble team of developers • Develop plans and track production features for on-time quality releases • Understand with data what slows your team down, and develop phased plans to reduce pain points and increase velocity • Own projects aligned with our product development strategy • Influence the direction of the underlying platform to ensure it is extensible, scalable, and secure • Measure impact through metrics • Collaborate with team and external stakeholders such as Product Managers, Backend and Frontend Engineers, UX team, & our customers

• Contribute to new product development of complex in-browser applications, taking advantage of your holistic view to ensure our application is extensible, scalable, and secure • Balance customer-facing features and technical debt cleanup to keep the software suite sustainable • Architect and implement complex applications that apply ML techniques to large volumes of data, simplifying labor-intensive processes through good user experience • Design systems that work together to deliver a good-performing, reliable application