Servicenow Architect
Job Description
Key Responsibilities:
Lead end-to-end architecture, design, and implementation of ServiceNow solutions across modules such as ITSM, HRSD, ITOM, SPM, CMDB, CSM, and custom applications.
Define and enforce ServiceNow 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 ServiceNow 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 DevOps practices such as CI/CD, automated testing, release automation, and deployment pipelines for both ServiceNow 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 ServiceNow.
Identify opportunities to leverage ServiceNow Predictive Intelligence, NLP, and external AI platforms (OpenAI, Azure Cognitive Services, etc.).
Stay updated with emerging technologies and platform releases to inform future development.
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