Jira Service Management Intake & Automation Developer

Location: Toronto, ON



Job Type: Full Time



Work Model: Onsite Key Responsibilities

• Design and scale Jira Service Management portals, intake forms, request types, custom fields, workflows, approvals, queues, SLAs, permissions, and validation rules.
• Build automation that classifies, prioritizes, routes, assigns, and tracks work with minimal manual intervention.
• Develop reusable workflows for task creation, subtasks, dependencies, notifications, escalations, SLAs, and status transitions.
• Build production-grade Java services, utilities, and integrations supporting Jira intake automation and enterprise workflows.
• Use Python and other scripting languages to develop automation, integration utilities, AI workflows, and operational tooling.
• Develop and maintain REST APIs, webhooks, middleware, and event-driven integrations using Java, Spring Boot, Python, JSON, and
• Apply AI and intelligent automation to classify requests, extract structured data, recommend priority and ownership, identify duplicates, and improve routing accuracy.
• Integrate Jira with Confluence, Slack, Microsoft Teams, GitHub, Azure DevOps, email, identity platforms, and other enterprise systems.
• Design responsible AI workflows with validation, confidence thresholds, explainability, security, privacy, human review, and fallback mechanisms.
• Create dashboards and reporting for intake volume, demand patterns, aging, throughput, SLA performance, routing accuracy, and automation effectiveness.
• Troubleshoot production issues using logs, metrics, audit records, distributed tracing, and test cases.
• Establish testing, monitoring, deployment, rollback, access-control, security, and governance practices for Jira, Java, Python, and AI solutions.
• Partner with engineering, product, program management, QA, operations, and business teams to convert ambiguous requirements into reliable systems.
• Document technical designs, business rules, AI behavior, integration contracts, security controls, and operational procedures.

• 3+ years of experience administering, developing, or automating Jira, preferably Jira Service Management.
• Hands-on experience with Jira Service Management forms, request types, workflows, custom fields, queues, SLAs, permissions, notifications, approvals, and dashboards.
• Professional experience developing production applications or services in Java, preferably with Spring Boot, and/or Python.
• Experience with Jira REST APIs, webhooks, JSON, methods, and authentication mechanisms such as OAuth 2.0, API tokens, and service accounts.
• Practical experience applying AI, generative AI, natural-language processing, or intelligent automation to business workflows.
• Proficiency with SQL and at least one scripting language such as Python, JavaScript, Groovy, or PowerShell.
• Experience designing scalable, secure, observable, testable, and maintainable production systems.
• Understanding of secure integration practices, including least-privilege access, secrets management, auditability, and protection of sensitive or personal information.
• Strong troubleshooting, communication, documentation, and stakeholder-management skills.
• Experience working in Agile, DevOps, project management, or enterprise operations environments.

• Experience with Jira Cloud or Data Center and Atlassian tools such as Forge, ScriptRunner, Assets, Advanced Roadmaps, or Marketplace applications.
• Experience with LangChain, Amazon Bedrock, or comparable AI platforms.
• Experience building retrieval-augmented generation systems, prompt workflows, classification models, embeddings, vector search, or AI evaluation frameworks.
• Experience integrating Jira with CI/CD pipelines, cloud services, message queues, databases, and observability platforms.
• Experience with AWS or another cloud platform, Docker or Kubernetes, infrastructure as code, and configuration as code.
• Knowledge of cloud identity and access management, including roles, policies, service identities, cross-account access, and least-privilege design.
• Knowledge of responsible AI, data privacy, access control, model-risk management, and enterprise governance.
• Atlassian Jira or Java certification.
• Knowledge of ITIL, Scrum, Kanban, Lean, or related operating frameworks.