Judi Health - Senior Scalability Engineer - Observability

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. • LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. • Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). • Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. • Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. • Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. • Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. • Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. • Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). • Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. • Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. • Git expertise and experience working in a mono repository. • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. • Experience building developer tools or internal platforms that improve engineering productivity. • This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. • Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.