Role Description - Identify and resolve performance bottlenecks (dashboard load time, refresh delays). - Optimize extracts, schedules, and concurrency handling. - Recommend scaling approach (vertical/horizontal) based on usage patterns. - Ensure Tableau environment meets production-grade standards. - Support go-live readiness (QC, stability checks, validation). - Define backup, restore, and monitoring strategy. - Design role-based permission model (Creators, Explorers, Viewers). - Define project and content organization standards. Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. - At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. - Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. - Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. - We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. - We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. - All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• The Waltz Health Cloud Engineer is responsible for supporting the creation and implementation of a technology framework and providing technical expertise in support of Waltz Health enterprise cloud computing services. • The Cloud Engineer reports into the VP Cloud and Infrastructure Services and will be responsible for ensuring that cloud technologies are effectively configured, implemented, and maintained as required to support business applications and services. • The ideal candidate will have experience in cloud computing technologies supporting consumer services, retail, and/or healthcare. • Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability). • Provide technical support in the diagnosis and resolution of issues, including determination and provision of workaround solutions or escalation to application owners. • Ensure delivered solutions are realized within committed timeframes; work in conjunction with project sponsors to manage scope and risk. • Support cloud computing services that align with the enterprise information security program

• Own cloud infrastructure end-to-end across our cloud environments, staying hands-on with IaC, CI/CD, and observability alongside the team • Own the SDLC surface area (dev environments, lower envs, release mechanics, monitoring and response) so engineers can ship in minutes rather than days • Build the substrate that lets AI agents observe, reason, and act on business systems with safe defaults, and the rails that let AI-assisted apps from people outside of tech be deployed and supported without becoming operational liabilities • Participate in security operations alongside our SecOps team on CSPM, threat management, and patch management as the infrastructure-side owner of remediations • Frame infrastructure decisions in terms of business outcomes (operational efficiency, financial impact, clinical results), and make progress and tradeoffs visible to leadership as a natural byproduct of how you work • Lead and develop a small, high-impact team, and operate as a peer to our SecOps, Data, IT Systems, and App Engineering leaders as a unifying technical force across the org

• Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads • Build and maintain scalable compute environments using ECS Fargate, EKS, and Lambda for both application and model hosting • Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack • Develop and manage CI/CD pipelines using GitHub Actions, incorporating blue/green and canary strategies for model deployments • Architect and operate data services including RDS (Aurora), S3, and Vector Databases (e.g., Pinecone, pgvector) to support RAG and other AI patterns • Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service • Implement comprehensive observability for infrastructure and model performance, monitoring for latency, drift, and resource utilization • Ensure platform resilience and security, defining disaster recovery strategies and enforcing strict IAM policies for sensitive data.