Jira Service Management Automation Developer
Job Summary
**JIRA SERVICE MANAGEMENT INTAKE AUTOMATION DEVELOPER JAVA/SPRING BOOT PYTHON REST APIS & AI**
**ROLE DESCRIPTION**
Design and implement Jira Service Management portals and workflows to streamline intake processes. Develop automation solutions to minimize manual intervention in task management. Create and maintain APIs and integrations to support enterprise workflows. Collaborate with cross-functional teams to translate requirements into technical solutions. Monitor and improve the performance of intake systems through data analysis and reporting.
**ROLE: JIRA SERVICE MANAGEMENT INTAKE AUTOMATION DEVELOPER**
We are seeking a Jira Service Management Intake Automation Developer to build scalable intake platforms that transform how teams submit triage prioritize route and track work across the enterprise.
This role combines Jira Service Management configuration and automation Java and/or Python development API integration and applied AI to improve request quality operational velocity and decision-making. The successful candidate will help own the full lifecycle of intake solutions from requirements and workflow design through implementation deployment monitoring and continuous improvement.
**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 HTTP.
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.
**ESSENTIAL SKILLS**
Experience with Atlassian tools beyond Jira can enhance the candidates ability to integrate various systems.
Knowledge of cloud platforms like AWS is beneficial for deploying applications.
Familiarity with CI/CD pipelines can streamline development processes.
Understanding of responsible AI practices is advantageous for implementing AI solutions.
Certifications in relevant technologies can validate the candidates expertise.
Proficiency in Jira Service Management is essential for configuring and automating workflows.
Strong Java and Python development skills are required for building applications and integrations.
Experience with REST APIs and webhooks is necessary for effective system integration.
Familiarity with Agile methodologies is important for working in a collaborative environment.
Strong troubleshooting and documentation skills are critical for maintaining operational efficiency.
**REQUIRED QUALIFICATIONS / SKILLSETS**
3 years of experience administering developing or automating.
**KEY SKILLS**
Jira Service Management administration configuration and automation
Java/Spring Boot and/or Python application development
REST API webhook JSON HTTP OAuth 2.0 and enterprise system integration
AI/GenAI NLP or intelligent automation for business workflows
SQL secure production-system design troubleshooting and observability
Atlassian Forge ScriptRunner Assets Advanced Roadmaps or Marketplace applications
LangChain Amazon Bedrock RAG embeddings vector search and AI evaluation
AWS/cloud platforms Docker Kubernetes Infrastructure as Code and Configuration as Code