• Install and maintain Connect:Direct (NDM), MSM and InterTest Batch utilizing SMP/E • Design and develop utilities (REXX) to streamline processes • Support a redundant TCPIP network for a Parallel Sysplex by making use of Dynamic VIPA and Sysplex Distributor and HiperSockets • Support non-shared USS file system in a Shared File system accessible by all LPARs within a Sysplex • Support and diagnose AT-TLS configurations • Troubleshoot started task abends utilizing IPCS • Apply Ciphers and license certificates • Resolving network connection issues utilizing packet traces

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. Position Summary As a Senior Software Development Engineer with CVS Health, you will participate on a product team of 6-10 people (engineers, UX designers, and product manager) and work with the team to build high-quality, usable products to customers and stakeholders. You will help educate both business and technology personnel on the development process and create products from discovery and framing through iterative development and delivery. You will also maintain a user-centered and business-as-priority approach in design perspective and practice. A firm understanding of Java development principles and agile methodologies is crucial for success in this role. Responsibilities - Work in a collaborative environment, contributing to Agile team - Design efficient and user-friendly software products to advance and support business needs - Develop frontend and backend code utilizing test-driven development Required Qualifications - 5+ years of experience with enterprise solution delivery in a large-scale distributed software design environment, preferably in a J2EE development environment - 5+ years of Java development experience while utilizing Spring Boot and/or Spring MVC - 2+ years of experience with frontend development including Angular 8+, React, or similar - 1+ year of experience using Agile concepts such as continuous integration (CI/CD) and test-driven development (TDD) Preferred Qualifications - Cloud development experience - PaaS and/or SaaS development experience Education - Bachelor’s degree in computer science, information systems, engineering or related field preferred - 2 years of professional work experience required for every year of college degree not completed, in addition to required years of experience Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $185,400.00 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 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 Benefits Moments. We anticipate the application window for this opening will close on: 04/22/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

The Software Engineer (AI Backend Services) will design, develop, and own backend systems and components that power generative AI applications and large language model (LLM) integrations. This role focuses on independently architecting and delivering scalable, secure, and high-performance services using Python, FastAPI, and AWS cloud infrastructure, while mentoring junior engineers. This is an individual contributor role KEY RESPONSIBILITIES - Design and implement Python-based backend services (on FastAPI) for AI workloads, including LLM integration and generative AI pipelines - Own end-to-end design and delivery of APIs and microservices for model serving, inference, and orchestration of AI agents - Architect and maintain AWS-based infrastructure for AI workloads (e.g., Lambda, EKS) with focus on scalability and reliability - Make independent technical decisions for component-level architecture and design patterns - Lead integration efforts for LLMs and generative AI models into production systems using LangChain, Langfuse, and litellm - Establish monitoring, logging, and observability best practices for AI backend services - Optimize backend performance for large-scale AI applications - Mentor Software Engineer II team members through code reviews and technical guidance - Collaborate with cross-functional teams and influence technical direction across multiple projects BASIC QUALIFICATIONS - 4-7 years of professional software engineering experience with strong backend focus - Expert-level proficiency in Python for backend development in production environments - Solid understanding of LLMs, generative AI concepts, and modern AI frameworks (e.g., LangChain, litellm, Langfuse) - Proven experience designing and building scalable systems on AWS (Lambda, API Gateway, EKS) - Deep knowledge of microservices architecture, API design, and distributed systems - Strong experience with containerization (Docker/Kubernetes) and orchestration - Demonstrated ability to own technical components and make independent architectural decisions - Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience PREFERRED QUALIFICATIONS - Extensive experience building and scaling APIs and backend systems for AI/ML workloads in production - Deep expertise with FastAPI and asynchronous Python programming - Experience architecting event-driven systems for AI applications - Track record of mentoring engineers and conducting effective code reviews - Strong understanding of system design patterns and trade-offs - Experience with infrastructure-as-code (Terraform, CloudFormation) - Knowledge of model deployment strategies and MLOps practices - Proven ability to drive technical initiatives and influence engineering culture - Excellent communication skills and experience working across teams Work assignment location : Remote Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

• Align workforce capacity and capability planning to product roadmaps, anticipating future skill and leadership needs to enable delivery on strategic priorities • Lead complex organizational design initiatives that create clarity of structure, roles, and accountability at scale • Partner on job architecture, leveling frameworks, and career paths across engineering and product teams to support growth and internal mobility • Drive succession planning and leadership bench strength for critical technical and people leadership roles • Partner with leaders to design and execute change strategies that ensure organizational shifts are clearly communicated, thoughtfully implemented, and effectively adopted • Increase talent density by strengthening performance differentiation and addressing underperformance proactively and consistently • Drive performance discipline through structured rhythms and coaching leaders to build high-performing, outcome-driven teams • Identify and proactively retain critical technical talent, particularly in high-demand areas such as AI engineering, through targeted retention and development strategies • Leverage attrition, engagement, and performance data to drive proactive, evidence-based talent decisions • Ensure promotion, leveling, and advancement decisions are rigorous, equitable, and aligned to clear performance standards • Lead, develop, and align a team of People Business Partners, setting clear expectations, coaching for high-impact, and elevating standards of strategic partnership • Establish clear operating norms and feedback loops across PBPs supporting Product & Engineering • Lead complex performance and employee relations matters with sound judgment, balancing business impact, employee experience, and risk mitigation • Drive consistent, equitable application of People practices while reinforcing a high-accountability, inclusive culture across technical teams.