• Design and implement moderately complex ingestion pipelines that integrate with internal and external systems • Develop reusable components for data transformation, validation, and logging • Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability • Support platform observability by enhancing monitoring, alerting, and error-handling features • Participate in design discussions, code reviews, and incident investigations • Partner with data consumers to understand requirements and translate them into ingestion solutions • Improve automation and testing coverage to reduce manual effort and increase pipeline reliability

• Identify and act on production problems without being prompted. • Build end-to-end, high-availability systems that handle extreme traffic spikes during high-demand on-sales without degradation. • Lead platform modernization initiatives - migrating legacy services to cloud-native, microservice-based architectures. • Design and implement streaming and event-driven solutions using Kafka/gRPC, enabling real-time data flow across services. • Embed deeply in a specific service area when needed, or work horizontally across teams to solve cross-cutting problems. • Champion resilience patterns: circuit breakers, graceful degradation, bulkheads, and auto-scaling strategies. • Collaborate with the Enterprise Architecture team on architectural decisions and evolve engineering standards across the Prepurchase domain. • Partner with product, security, and SRE teams to align technical decisions with business priorities. • Drive observability improvements - ensuring services are instrumented for monitoring, alerting, and rapid incident response. • Identify and eliminate single points of failure, improving system reliability and reducing on-call burden. • Apply AI and machine learning tools to improve developer productivity, automate operational tasks, and enhance system capabilities. • Evaluate and introduce new technologies that improve performance, reliability, or engineering velocity.

• Collaborate with the Product and Development teams to build and manage MyHealthTeam’s social networks • Keep an agile and test-driven mindset • Be an all-rounder who can work as a full stack developer or manage our production AWS environment

• Own high-impact lifecycle initiatives end-to-end (from ambiguous goal → design → build → launch → iteration), spanning guest journeys like activation, reactivation, graduation, and loyalty. • Build reliable messaging and data pipelines that power campaign execution (segmentation, scheduling, send-time optimization) across email/SMS/push at scale. • Raise the bar on deliverability and compliance (domain warmup, provider policies, Twilio registration, throttling/guardrails), ensuring we can send safely while maximizing reach and performance. • Establish an experimentation + measurement loop for lifecycle: holdouts, incremental lift, attribution quality, and analytics instrumentation that product and marketing can trust. • Improve platform observability and operational excellence with SLOs, dashboards, alerting, and incident-ready runbooks for business-critical pipelines. • Ship AI-assisted capabilities that make lifecycle marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production-ready systems. • Multiply the team through technical leadership: set engineering standards, review designs, mentor engineers, and partner cross-functionally with Product, Data, Marketing, and other GPV Growth teams.