Principal Architect - Distributed Systems

Principal Architect - Distributed Systems page is loaded## Principal Architect - Distributed Systemsremote type: Remotelocations: Work At Home-Arizonatime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 31, 2026 (30+ days left to apply)job requisition id: R0879325We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health(R), you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.**Position Summary**The Distributed Systems Architect is responsible for defining, evolving, and owning the technical architecture of the **Vulnerability Services Engine (VSE)** platform, the enterprise‐wide vulnerability and exposure management platform at CVS Health.This role provides **hands‐on architectural and engineering leadership** across **distributed systems, big‐data platforms, and application architecture**, and serves as a technical owner of a **mission‐critical, enterprise‐scale system** that ingests, processes, and analyzes vulnerability telemetry across the entire technology landscape.This is not an advisory role. The successful candidate will operate as an **architect‐engineer**, contributing directly to design, implementation, performance optimization, and operational excellence as an integrated member of the delivery team.**Key Responsibilities*** Provide technical ownership and architectural leadership for the **Vulnerability Services Engine (VSE)** platform, including data ingestion, analytics, distributed processing, and application layers* Own the **technical specifications, data architecture, and evolution** of vulnerability and exposure data products* Design, document, and enforce: + System and solution architectures + Component and framework selection + Implementation and integration standards* Lead **distributed systems and big‐data design** for large‐scale telemetry ingestion, processing, and analytics using platforms such as **Apache Spark, Databricks, and Apache Kafka.*** Define and implement **integration strategies** for internal CVS Health platforms and external vendor systems across **multi‐cloud environments** (Azure, GCP, AWS)* Provide **hands‐on engineering leadership** through code contributions, design reviews, and deep technical troubleshooting* Establish and lead **performance engineering and observability practices**, including throughput optimization, scalability testing, and system tuning* Serve as technical lead for **vendor evaluations and proofs‐of‐concept**, assessing architectural fit, performance, and scalability* Act as a senior technical advisor to Exposure Management and broader ISTS teams, influencing standards and platform direction through example and implementation**Required Qualifications*** 10+ years of experience designing and implementing **large‐scale distributed systems*** 5+ years of experience with **big‐data platforms and high‐volume data integration*** 5+ years of experience building **web and service‐based applications*** Hands-on coding proficiency in at least one of **Java, Python, Javascript*** 5+ years in senior technical leadership roles such as **Architect, Staff Engineer, Principal Engineer, or equivalent**, with demonstrated hands‐on ownership* Proven ability to operate in **enterprise‐scale, mission‐critical environments** with strong performance and reliability requirements**Preferred Qualifications*** Deep, hands‐on experience with **Apache Spark,** **Databricks** and modern data‐processing frameworks* Experience with **high‐throughput telemetry, logging, or analytics platforms*** Strong background in **distributed systems performance engineering and observability*** Experience operating in **security, vulnerability management, risk, or compliance** domains* Knowledge of **Apache Arrow** or similar data interchange frameworks* Hands‐on familiarity with **contemporary AI/ML concepts and supporting tooling*** Expert‐level proficiency in **Java, Python and ReactJs*** Advanced degree in **Mathematics, Statistics, Computer Science, or a related field****Education*** Bachelor’s Degree in **Mathematics, Computer Science, or a related field** or equivalent experience**Pay Range**The typical pay range for this role is:$144,200.00 - $288,400.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.**Great benefits for great people**We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.This full‐time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‐being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.Additional details about available benefits are provided during the application process and on .We anticipate the application window for this opening will close on: 07/31/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr