Position: Guidewire Technical Architect Experience: 12 to 18yrs Work Location: Bangalore/Pune/Hyderabad/Kolkata/Chennai Deep architectural knowledge of InsuranceSuite (PolicyCenter, ClaimCenter, and BillingCenter) and a strong understanding of their cross-functional interactions. Extensive knowledge of the Property & Casualty insurance lifecycle, including underwriting rules, claims adjudication, and financial reporting. Stay ahead of Guidewire Ski-release cycles to evaluate new features and determine their business value. Gosu & Java: Advanced proficiency in Gosu and a solid foundation in Java. Hands-on experience with cloud-native implementations, including Cloud APIs, Integration Gateway, and Jutro for digital front-ends. Ability to manage complex product model changes and publish them without disrupting the runtime environment. Knowledge of Guidewire App Events, Messaging plugins, Event Fired Rules, and asynchronous processing. Design and maintain the end-to-end technical architecture for Guidewire implementations, specializing in cloud-native configurations and cross-module synchronization. Ability to translate complex technical debt and architectural trade-offs to Finance and Business executives. Conducting code reviews and guiding senior/junior developers. Driving architectural standards within Scrum methodologies. Liaison with Stakeholders serving as a bridge between the development team and external stakeholders, ensuring clear communication and alignment on project goals and expectations. Candidates should have a minimum of 15 years of experience working with Guidewire Software Guidewire ACE Certification is a must, Other Insurance Domain Certifications good to have. 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.

• Join a fast-moving AI infrastructure team working on large-scale ML workloads • Design and validate production-grade distributed training and large-scale inference architectures on large GPU clusters • Work hands-on with customers to debug, optimize, and scale ML workloads across multi-node GPU environments • Act as a technical authority on GPU performance, networking, and schedulers • Collaborate closely with engineering, product, and R&D to influence roadmap decisions

• Design and implement robust cloud architectures (AWS, GCP) and on-premises data center monitoring and automation solutions, ensuring they align with business requirements and provide seamless SAP landscape integration. • Craft comprehensive system monitoring strategies specifically tailored for data center environments, covering both physical and virtual infrastructure. • Select and implement appropriate infrastructure monitoring tools (e.g., Dynatrace, Prometheus, Grafana, Datadog, CloudWatch, Nagios, Zabbix) with a focus on data center metrics and SAP application specific KPIs. • Innovate CICD Pipeline strategies incorporating GIT branching and delta merging capabilities. • Assess resource management practices in align with both cloud and data center requirements. • Collaborate closely with development, SAP, and infrastructure teams to optimize deployments, troubleshoot issues, and ensure seamless integration across hybrid environments. • Design and implement SAP strategies to the cloud, ensuring optimal performance, security, and integration with data center components. • Act as a cloud, SAP, and monitoring evangelist, sharing best practices and mentoring team members. • Must have excellent Design and Documentation Skills.

• Leading the technical implementation of our AI solutions, ensuring best practices and quality standards. • Collaborating with customers to understand their requirements and tailor our solutions to match their business needs. • Providing technical expertise throughout the implementation process, including setup, configuration, and integration with third-party platforms. • Conducting training sessions and workshops to empower customers to utilize our solutions effectively. • Monitoring implementation progress and ensuring the timely delivery of projects. • Identifying and troubleshooting any technical issues that may arise during the implementation phase. • Continuously gathering feedback from customers to improve the implementation process and enhance our offerings.