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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.
Job Responsibility
Lead the design, development, and delivery of scalable backend systems, APIs, and microservices powering member-facing capabilities
Define API contract standards, and integration patterns used across Member Services platforms
Drive service modernization by adopting cloud‑native architectures, containerization, service mesh, and event-driven patterns
Establish standards for availability, resiliency, performance, and disaster recovery across all services
Implement SLO/SLI/error budget frameworks, health checks, and high‑availability architectures
Institutionalize strong observability practices using metrics, logs, traces, and distributed monitoring
Drive continuous reliability improvements through chaos engineering, automated fault injection, and proactive root‑cause analysis
Integrate AI and LLM-based tooling into software development, QA, and operational processes (e.g., test automation, code generation, anomaly detection, intelligent incident triage)
Promote AIOps capabilities to reduce manual toil and amplify engineering productivity
Introduce AI-enhanced workflows across Member Services to improve personalization, routing, and intelligent decisioning
Own strategy for internal and external API integrations supporting member services and other enterprise systems
Standardize integration patterns to ensure secure, performant, and consistent data exchange across domains
Partner with product, security, architecture, and platform engineering to ensure scalable, compliant, and reusable integration solutions
Drive technology exploration and rapid experimentation in areas such as LLM/AI augmentation, serverless compute, real-time data streaming, and next‑gen integration frameworks
Build and maintain a long‑term roadmap for modernizing legacy components, platformizing capabilities, and increasing engineering velocity
Champion engineering excellence and best practices across code quality, testing, automation, and release reliability
Build, lead, and mentor high-performing engineering teams across global locations
Foster a culture of innovation, accountability, psychological safety, and continuous learning
Define organizational structures, role expectations, and growth paths to develop future engineering leaders
Requirements
15+ years of software engineering experience with deep expertise in backend systems, distributed services, and API platforms
Proven experience leading large engineering organizations delivering mission‑critical services
Strong background in AWS cloud platform, microservices architecture, CI/CD pipelines, and DevOps/SRE practices
Demonstrated success driving stability, resiliency, and observability improvements at scale
Experience leveraging AI, ML, or LLM-based engineering and operational tooling
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Nice to have
Experience in regulated industries (healthcare, financial services, insurance)
Background in building member, patient, or consumer-facing digital experiences
Executive-level communication and strategic influence across complex organizations