Principal Architect - Distributed Systems

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