Jira Service Management Automation Developer
Summary
Builds and owns enterprise Jira Service Management intake automation: configuring portals, workflows, SLAs and approvals, plus developing Java/Spring Boot and Python services, REST API/webhook integrations, and AI-driven request classification and routing. Includes dashboards, monitoring, and production troubleshooting.
**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 candidate's
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 candidate's
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
Skills
- Agile
- AI
- API
- Atlassian
- Automation
- AWS
- AWS Bedrock
- Azure
- Azure DevOps
- CI/CD
- Cloud
- Confluence
- DevOps
- Docker
- Embeddings
- Event Driven Architecture
- Generative AI
- GitHub
- Infrastructure as Code
- Java
- Jira
- JSON
- Kubernetes
- LangChain
- NLP
- OAuth
- Observability
- Program Management
- Python
- REST
- Slack
- Spring
- SQL
- Vector Search
- Webhooks