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10.0 - 14.0 years

0 Lacs

karnataka

On-site

As a Cloud Security Pre-Sales Architect, your role is pivotal in designing and presenting cloud security solutions that cater to client requirements and facilitate business growth. You will collaborate with customers, sales teams, delivery teams, and strategic partners to develop innovative cloud solutions that address customer needs effectively. Your responsibilities include responding to RFXs and Solution Design by understanding customer objectives, designing custom solutions using Public Cloud security services, and preparing initial questionnaires to ensure alignment with customer needs. You will also deliver technical presentations to educate customers about the capabilities of public cloud security, conduct GTM/sales enablement sessions, and provide technical consultation and assessments to identify security gaps and offer expert guidance on best practices. Furthermore, you will engage in proactive customer interactions, stay updated on industry trends and market knowledge related to cloud security, demonstrate thought leadership through blogs, white papers, and presentations, and be prepared to engage in hands-on delivery engagements as needed to meet billing requirements. To qualify for this role, you should hold a Bachelor's degree in computer science, engineering, or a related field, with an advanced degree considered a plus. You should have extensive experience in technical pre-sales, solution architecture, or similar positions, along with strong knowledge and experience with Cloud security platforms like AWS, Azure, GCP, OCI, and CNAPP solutions such as Palo Prisma Cloud, Wiz, Checkpoint CloudGuard, and Crowdstrike Falcon. A solid understanding of cloud security concepts, architectures, and best practices, as well as experience in designing and implementing enterprise-scale solutions, will be essential for success in this role.,

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3.0 - 8.0 years

0 Lacs

chennai, tamil nadu

On-site

You will be responsible for defining and owning the end-to-end decisioning architecture leveraging Pega Customer Decision Hub (CDH). This includes designing NBA strategies, engagement policies, and arbitration rules. You will also integrate adaptive and predictive models for real-time decisioning, enabling cross-channel orchestration and personalization at scale. Additionally, you will guide the enterprise data strategy for decisioning and ensure seamless data integration. Leading CDH governance, roadmap, and stakeholder alignment will also be part of your role. Ideal Background: With a minimum of 8 years of experience in Pega CDH and at least 3 years in Decisioning, you will work in the role of a Decisioning Architect and be CPDC certified. Your experience should include designing and developing using the NBAD framework, understanding and driving user experience and business expectations, and implementing applications end to end. You must also have a grasp of impacts on performance, reusability, and stability against high-volume applications. Experience in background processing, integrations design, application scalability, performance impact, debugging, and fixing environmental issues in Prod and non-Prod environments is essential. Must-Have Skills: As a Pega Certified Decisioning Architect (CPDC), you should be a highly skilled and innovative Pega Lead Decisioning Architect capable of executing advanced decisioning solutions. Your ability to improve Pega Decisioning AI performance through various methods, provide thought leadership, present decisioning concepts and benefits, influence stakeholders, and recommend decisioning algorithms is crucial. Consultation and training to Decisioning architects, experience with simulation, A/B testing, adaptive analytics, and performance analysis in Pega Customer Decision Hub are required. Nice to Have Skills: Having demonstrated knowledge of industry-standard project delivery frameworks such as Agile, Scrum, and waterfall is beneficial. Bringing creative and fresh perspectives to solve critical challenges, fostering a culture of innovation within the team, and having end-to-end experience in defining solutions, design, and implementation in Customer Marketing, contact strategy, segmentation, adaptive modeling, and campaign management are considered advantages.,

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