Principal Software Development Engineer

Set technical direction for a next-generation compute platform powering PBM underwriting and financial metrics Design and lead architecture for systems processing hundreds of millions of claims-level records under tight latency SLAs Translate PBM financial logic into trusted, extensible systems for finance, actuarial, account, and engineering teams Lead architecture decisions, ADRs, and design reviews Establish and enforce standards for service boundaries, testing strategy, and schema evolution through tooling Decide whether to strangle legacy systems or rewrite them, and whether to split or retain services Profile systems, read query plans, develop caching strategies, and achieve sub-second-to-low-minute SLAs on large datasets Produce design documents, architecture narratives, and decision-driving demonstrations Present technical concepts to VP/SVP audiences and executive stakeholders Mentor senior, staff, and principal engineers Raise the hiring bar and drive cross-squad alignment Deliver cloud-native systems using container-first, observability-first, and CI/CD practices Requirements 12+ years building production software systems 3+ years at staff/principal scope Experience designing and operating systems processing hundreds of millions to billions of rows Fluency in throughput, latency, partitioning, and cost trade-offs across batch, streaming, and OLAP workloads Strong system design skills, including consistency, failure modes, backpressure, and system evolution Architecture leadership through ADRs, design reviews, standards, and tooling Strong solution design judgment regarding legacy strangulation versus rewriting and service boundaries SQL fluency and data modeling experience Experience with parity/reconciliation patterns and debugging metric drift with finance and actuarial stakeholders Hands‑on experience with Java, Spring Boot, Gradle, and SQL‑first persistence such as JOOQ or equivalent Performance engineering experience, including profiling, query‑plan reading, caching strategy, and meeting SLAs on large datasets Ability to produce high‑quality design documents, executive‑readable architecture narratives, and technical demos Ability to present to VP/SVP audiences Technical leadership without authority, including mentoring and cross‑squad alignment Cloud‑native delivery mindset with container‑first, observability‑first, and CI/CD discipline Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field; equivalent experience accepted Core Competencies Demonstrates extensive experience in system architecture and design, particularly in high‑volume data processing and cloud‑native environments. Proven ability to lead technical direction, mentor engineering teams, and effectively communicate complex concepts to executive stakeholders. Highest-signal resume keywords Architecture Leadership SQL Fluency Java Development Performance Engineering Cloud‑Native Delivery ATS Optimization Keywords Hard Skills System Design Data Modeling Performance Profiling Caching Strategy Batch Processing Streaming Workloads OLAP Workloads Technical Documentation Decision‑Driving Demonstrations Service Boundary Standards Soft Skills Mentoring Cross‑Squad Alignment Technical Leadership Industry Keywords PBM Underwriting Financial Metrics Actuarial Systems Legacy Systems SLA Management Query Plans Metric Drift Tools & Technologies Java Spring Boot Gradle JOOQ CI/CD Practices Container‑First Approach Observability Tools #J-18808-Ljbffr Jobtailor