Staff Software Engineer - Microservices job opportunity at ServiceNow.

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Date2026-04-23T05:30:16.528Z bot
ServiceNow Staff Software Engineer - Microservices
Experience: General
Pattern: Full-time
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loacation Salarpuria Sattva Knowledge City Knowledge City, Unit II, 17 to 10 Floor Survey No. 83/1, Serilingampally Mandal, Hyderabad, India
loacation Salarpuria Sat..........India
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Job DescriptionAbout the team:The Agentic AI team is a platform engineering group responsible for building ServiceNow's AI Agents framework—the foundational infrastructure that enables product teams and customers to create intelligent, autonomous agents. We design and develop agentic pipelines using Python and Java, delivering capabilities such as agent reasoning, memory, orchestration, and evaluation at enterprise scale.Beyond core platform development, engineers on this team have the opportunity to contribute to research initiatives in agent learning, agentic evaluation methodologies, and analytics. We embrace the rapidly evolving landscape of LLMs and Agentic AI while maintaining the reliability and performance standards required to operate at ServiceNow's scale. What you get to do in this role:Lead the design and architecture of AI solutions, shaping how reasoning, memory, and orchestration come together in production systems.Own end-to-end delivery—from design through deployment—ensuring solutions are scalable, reliable, and performant.Work hands-on with modern AI frameworks and open-source SDKs, with a strong emphasis on prompt engineering and pipeline optimization.Stay current with emerging advancements in LLMs and Agentic AI, integrating relevant techniques into our platform roadmap.Provide technical leadership by mentoring engineers, conducting code reviews, and defining best practices that foster a culture of innovation and quality.Partner with product managers, architects, and leadership to translate business requirements into robust technical solutions with measurable impact.Champion observability and evaluation for AI systems, building out logging, metrics, and automated evaluation frameworks for production workloads.

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