Software Development Engineer

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, 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.

The Staff Software Development Engineer will architect and implement scalable search systems that support complex query understanding, relevance tuning, ranking strategies, and personalization  Staff Software Development Engineer will lead the design and evolution of search pipelines, including ingestion, indexing, query parsing, retrieval, ranking, and result post-processing. The right candidate will champion observability and experimentation, including relevance metrics, A/B testing, query analytics, and monitoring dashboards.

The Staff Software Development Engineer will collaborate cross-functionally with product, data science, ML, and analytics teams to translate business requirements into high-quality search experiences.

• Driving relevance and ranking improvements using techniques such as query rewriting, synonym management, intent detection, field boosting, learning-to-rank, behavioral signals, and offline/online evaluation frameworks.
• Providing technical leadership in solution design and architecture reviews, partnering with principal engineers, architects, and product teams.
• Designing and optimizing event-driven systems using Kafka (or similar) for real-time indexing, user interaction signals, and search telemetry.
• Ensuring systems meet performance, scalability, and reliability goals, including sub-100ms query latency targets, high-throughput ingestion and near-real-time indexing, fault tolerance and graceful degradation.
• Leading and participating in deep code reviews, enforcing best practices in search engineering, distributed systems, and data correctness.
• Influencing the adoption of new search technologies, tooling, and frameworks to improve developer productivity and search quality.
• Serving as a technical mentor, providing guidance to senior and junior engineers and raising the overall search engineering bar across the organization.
• Acting as a multiplier, identifying systemic issues in search quality or platform reliability and driving long-term architectural improvements.

• 7+ years of professional software engineering experience, with significant depth in search or data-intensive systems.
• 3+ years of experience in information retrieval concepts (inverted indexes, scoring models, relevance tuning), query understanding, relevancy and ranking.
• Experience designing and operating distributed, event-driven systems using Kafka or equivalent messaging platforms.
• Demonstrated execution excellence, from design through production support.
• Growth mindset with a track record of mentoring engineers and raising technical standards.
• Experience with search platforms:
  Open Search, Elasticsearch, and/or Solr.

• Experience with learning-to-rank, personalization, or ML-assisted relevance systems.
• Hands‑on experience with search experimentation frameworks, A/B testing, and offline evaluation.
• Background in high‑scale consumer or enterprise search platforms.
• Familiarity with search analytics, click models, and behavioral signals.

• Bachelor's degree or equivalent experience (High school diploma plus 4 years relevant work experience).

The typical pay range for this role is:
$ - $
This 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.