Lead System Architect (Pega CLSA)

Meet Our Team

Our Team lives and breathes the Pega delivery vision: quickly building high-quality, outcome-driven applications that evolve with the changing needs of business. As a key member of the Pega Consulting team (GTM), you will work with a passionate and driven project team, delivering new and innovative business and technical solutions using Pega technology.

Picture Yourself At Pega

Pega is changing the way the world builds software. In this role, youll help us design, develop, implement and test the next generation customer centric solutions. This is your chance to get your hands-on leading technology that figures out what people really care about. At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI‑enabled tools are used to enhance learning, improve engineering efficiency, and support better decision‑making across the cloud platform. We expect engineers to apply critical thinking to all AI‑generated outputs—validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy‑driven integration, and you will play an active role in that journey.

What Youll Do At Pega

• Lead and drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, UAT and production deployment
• Partner with our world leading clients to deliver high-quality technical solutions across all phases of the software development lifecycle
• Utilize your outstanding technical consulting skills to demonstrate new and innovative ways to implement software solutions
• Collaborating with a high performing Pega delivery team you will ensure the solution meets or exceeds your clients expectations.
• Provide support and technical governance focused on one or more projects at a single client
• Act as a Subject Matter Expert to the organization and pro-actively respond to adhoc questions

You demonstrate a strong Growth Mindset—embracing curiosity, continuous learning, and adaptability in a fast‑changing technology environment. You are comfortable speaking about AI with confidence and conviction, and you view AI as an enabler to improve outcomes rather than a substitute for sound engineering principles. You challenge assumptions, learn quickly from change, and apply critical thinking to validate outputs and make informed decisions. You bring a thoughtful, quality‑driven approach

What Youve Accomplished

• Bring 12+ years of hands-on Pega experience, building and implementing model-driven, enterprise-level business solutions and applications.
• Hold a Pega CLSA certification, with deep technical expertise across Pega technologies.
• Led end-to-end delivery of medium to large components within complex enterprise solutions.
• Worked across application servers, programming languages, relational and non-relational databases, and integration technologies.
• Applied strong knowledge of Object-Oriented concepts, techniques, and principles in solution delivery.
• Managed multiple priorities and complex deliverables through strong planning, organization, and time-management skills.
• Collaborated effectively with business and IT stakeholders, translating complex technical concepts into clear and practical solutions.
• Demonstrated the ability to quickly learn and apply new technologies and concepts.
• Delivered strong customer outcomes through ownership, collaboration, and a team-oriented approach.
• Demonstrated a proactive mindset and the ability to lead by example and go the extra mile.
• Comfortable working 1:00 PM to 10:00 PM IST.

• Gartner Analyst acclaimed technology leadership across our categories of products.
• Continuous learning and development opportunities
• An innovative, inclusive, agile, flexible, and fun work environment
• Competitive global benefits program inclusive of pay and bonus incentive, employee equity in the company
• An opportunity to work in an organization that actively invests in AI‑enabled learning, innovation, and responsible adoption across its engineering practices