• Identify and act on production problems without being prompted. A single 500 error reaching a fan is a problem, not a data point; treat it accordingly and act with urgency regardless of volume. • 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.

• 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