ServiceNow Architect; ServiceNow, DevOps, AI

Service Now Architect (Service Now, Dev Ops, AI)

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• Lead end-to-end architecture, design, and implementation of Service Now solutions across modules such as ITSM, HRSD, ITOM, SPM, CMDB, CSM, and custom applications.
• Define and enforce Service Now architectural standards, guardrails, coding conventions, and integration patterns.
• Drive platform governance, versioning strategy, instance health management, and performance optimization.
• Evaluate enhancement requests, solution designs, and large-scale customizations to ensure platform scalability and maintainability.
• Guide system integrations using MID Server, Integration Hub, REST/SOAP APIs, event-driven patterns, and external systems.
• Conduct architectural reviews and provide expert guidance on workflows, data modelling, ACL/security architecture, and automation strategies.

• Lead the design and development of scalable applications, enterprise integrations, and Service Now solutions.
• Collaborate with stakeholders to define technical requirements and architectural decisions.
• Guide and mentor development teams, fostering best practices in clean code, design patterns, and secure coding.
• Perform code reviews and provide constructive, actionable feedback to ensure quality and consistency.
• Ensure performance, security, and compliance standards are met across the entire development lifecycle.

• Drive Dev Ops practices such as CI/CD, automated testing, release automation, and deployment pipelines for both Service Now and custom-built applications.
• Oversee containerization and infrastructure-as-code adoption using tools like Docker, Kubernetes, and Terraform where applicable.
• Manage version control, branching strategies, and environment promotion processes.
• Lead and contribute to AI/ML initiatives, including integrating AI services into existing platforms.
• Architect and implement AI-driven workflows, chatbots, predictive intelligence, and intelligent automation solutions within Service Now.
• Identify opportunities to leverage Service Now Predictive Intelligence, NLP, and external AI platforms (OpenAI, Azure Cognitive Services, etc.).
• Stay updated with emerging technologies and platform releases to inform future development.
• Recommend modernization strategies including microservices architecture, event-driven patterns, domain-driven design, and micro-frontend architecture.
• Partner with enterprise architects, product owners, and business leaders to shape long-term technology roadmaps.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development, with 2+ years in a lead or senior role.
• Proven hands‑on experience with Service Now development and architecture, including Workflows, Catalogs, Integration Hub, CMDB, Scoped Apps, Flow Designer, and API integration.
• Demonstrated experience designing scalable enterprise architectures, platform governance models, and complex integration patterns.
• Solid understanding of Dev Ops principles, including CI/CD (Jenkins, Git Hub Actions), automated testing, containerization (Docker), and Infrastructure as Code.
• Experience with architectural patterns: domain‑driven design, microservices, event‑driven architecture, micro‑frontends.
• Familiarity with AI/ML tools and frameworks (Tensor Flow, OpenAI APIs, Azure Cognitive Services, etc.).
• Excellent communication skills and the ability to collaborate across cross‑functional teams.
• Strong problem‑solving and decision‑making abilities in complex enterprise environments.

• Service Now certifications such as CSA, CAD, CIS‑ITSM, CIS‑HRSD, CIS‑ITOM, Integration Hub, or Architect‑level certs.
• Experience building enterprise‑grade applications using React, Node.js, or similar modern frameworks.
• Background implementing AI‑driven workflows, virtual agents, or intelligent automation within Service Now or similar platforms.
• Experience working within Agile/Scrum methodologies.
• Experience leading enterprise‑wide platform modernization initiatives.

Mid‑Senior level

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