updated 1 month ago
Senior System Architect (Pega)
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Job description
Text:
TL;DR
Senior System Architect (Pega): Designing, developing, implementing, and testing enterprise-level, customer-centric solutions using Pega technology with an accent on technical consulting, model-driven applications, and end-to-end delivery. Focus on leading technical teams, translating customer needs into solutions, mentoring clients, and validating AI-enabled engineering outputs.
Location: Not specified
Company
develops Pega technology and cloud platform solutions for customer-centric business applications.
What you will do
- Deliver technical solutions for clients across the software development lifecycle using Pega technology.
- Design, develop, implement, and test model-driven enterprise applications.
- Provide technical consulting and demonstrate innovative software implementation approaches.
- Mentor and train client teams on Pega technology, industry practices, and Pega best practices.
- Lead technical teams and collaborate with Pega delivery teams to meet or exceed client expectations.
- Apply critical thinking to validate AI-generated outputs before using them in production.
Requirements
- At least 5 years of progressively responsible experience with a bachelor’s degree, or at least 3 years with a master’s degree, building and implementing model-driven enterprise solutions.
- Hands-on experience delivering medium- to large-scale components of complex solutions.
- Ability to lead technical teams, manage competing priorities, and work independently or collaboratively.
- Strong communication, interpersonal, consulting, and stakeholder-partnership skills.
- Knowledge of application servers, programming languages, relational and non-relational databases, integration techniques, and object-oriented principles.
- Experience delivering solutions using Agile and Scrum methodologies.
Nice to have
- CSSA certification.
Culture & Benefits
- Continuous learning and professional development opportunities.
- Innovative, inclusive, agile, and flexible work environment.
- Competitive global benefits, pay, bonus incentives, and employee equity.
- Access to AI-enabled learning and responsible AI adoption across engineering practices.
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