Virtusa
Website:
virtusa.com
Company:
https://www.linkedin.com/company/virtusa
Seniority: Associate
Industries: IT Services and IT Consulting
Job details:
Design CR intake approach using Excel, Forms, SharePoint, Power Apps or chat-based agent interaction. Build an agent that asks missing requirement questions one by one before creating Jira artefacts. Generate Epic, Feature, User Story, Task and Sub-task structures from CR details or requirement documents. Create clear descriptions, business outcomes, acceptance criteria, dependencies, assumptions, risks and priority recommendations. Integrate with Jira APIs to create, update, link and track delivery artefacts after human approval. Strong Jira experience across workflows, issue types, fields, automation, permissions and APIs. Good understanding of Agile delivery, backlog management, Epics, Features, User Stories, Acceptance Criteria and Definition of Ready / Done. Hands-on experience with Power Automate, Copilot Studio, Azure AI, Excel/Forms/SharePoint and API integrations. Ability to translate business change requests into structured delivery backlog items. Experience designing approval workflows and audit trails before automated Jira publishing.
What hands-on Jira administration or Jira automation experience does the candidate have? Please include issue types, workflows, custom fields, automation rules and permissions.
- Has the candidate used Jira APIs to create or update Epics, Features, Stories, Tasks or links? Please provide examples.
- How would the candidate design an agent that receives a Change Request and generates an Epic with Features, User Stories and Acceptance Criteria?
- How would the candidate ensure the agent asks for missing information before publishing content into Jira?
Please provide two implementation case studies that are closest to this requirement. Mention platforms used, integration pattern, AI/automation component, business outcome and candidate contribution.
- What parts were designed by the candidate personally versus delivered by a wider team?
- Which elements were production-grade versus proof-of-concept?
- How did the candidate handle authentication, access control, logging, retry, error handling and auditability?
- How did the candidate validate AI output quality and prevent hallucination or incorrect automation?
- Can the candidate create both technical design and business-facing process documentation?
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