Senior Search Engineer at CVS Health

Woonsocket, Rhode Island, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

222480.0

Posted On

30 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Search Engineering, Information Retrieval, Machine Learning, Data Analysis, Elastic, OpenSearch, Solr, SQL, NoSQL, Python, Java, Kotlin, Kubernetes, Distributed Systems, Predictive Modeling, Statistical Analyses

Industry

Hospitals and Health Care

Description

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming healthcare. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels, and more than 300,000 purpose-driven colleagues – caring for people where, when, and how they choose, in a way that is uniquely more connected, more convenient, and more compassionate. And we do it all with heart, each and every day. As a Senior Search Engineer, you will play a critical role in enhancing the search experience across our digital platforms. You will leverage your expertise in search technologies, machine learning, and data analysis to improve the relevance, accuracy, and overall effectiveness of our search solutions. Key Responsibilities: Develop and implement advanced search solutions: Lead the development and optimization of search algorithms and systems utilizing technologies such as Elastic/OpenSearch/Solr. Fine-tune search relevance: Apply machine learning techniques, including classification and ranking models, to significantly improve the relevance of search results. Integrate with modern architectures: Leverage experience with Kubernetes, Elastic/Solr/OpenSearch and Kafka to build scalable and resilient search infrastructure. Explore and implement cutting-edge technologies: Contribute to the exploration and integration of Agentic Solutions, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enhance search capabilities. Analyze search data: Perform in-depth analysis of search queries, user behavior, and search performance metrics to identify areas for improvement and inform optimization strategies. Collaborate with cross-functional teams: Partner with product managers, engineers, and business stakeholders to understand search requirements, develop solutions, and deliver impactful results. Develop and evaluate analytical models: Utilize strong knowledge of algorithms and predictive models to investigate search-related problems, detect patterns, and recommend data-driven solutions. Utilize programming skills: Leverage strong programming skills in Python, Kotlin, and/or Java to explore, examine, and interpret large volumes of search data. Communicate technical concepts: Effectively communicate complex technical concepts and implications to both technical and non-technical audiences. Required Qualifications 5+ years of relevant experience in search engineering, information retrieval, or related field. 3+ years of experience programming using Python or Java/Kotlin. 3+ years experience with Elastic, OpenSearch, Solr or any other open source search engines. 3+ years of experience with SQL and/or NoSQL databases. Preferred Qualifications Demonstrated strong ability to communicate technical concepts and implications to business partners. Proactive in anticipating and preventing problems and roadblocks. Strong knowledge of advanced analytics tools and languages for analyzing large datasets from multiple sources. Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with a strong focus on search-specific applications. Experience with and a strong understanding of Search Technologies, Distributed Systems. Experience with Kubernetes for deploying and managing search infrastructure. Master's Degree or PhD Education Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience) Business Overview Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $222,480.00 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. 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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 12/29/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Responsibilities

As a Senior Search Engineer, you will enhance the search experience across digital platforms by developing advanced search solutions and optimizing search algorithms. You will collaborate with cross-functional teams to understand search requirements and deliver impactful results.