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Added 35 mins ago
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ON · Ontario, Canada
- $45 to $50 CAD / hour
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LanceSoft, Inc.

Jira Software Engineer

ON, Canada
Ontario, Canada, Canada

$45 to $50 CAD / hour · Contract

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Job details

Pay: $45 to $50 CAD / hour
Job type: Contract
Apply by: Nov 11, 2026
Experience: Minimum 3 years of experience in Jira Service Management administration, development, configuration, workflow automation, or related enterprise platform engineering.
Posting language: English
Posted: Oct 12, 2026

Original job description

Role: Jira Service Management Intake Automation Developer

Hiring Mode: Contract

Pay: CAD 45-50/Hr.

Role Overview:

We are seeking a Jira Service Management Intake Automation Developer to design, develop, and maintain scalable intake platforms that streamline how teams submit, triage, prioritize, route, and track work across the enterprise.
This role combines Jira Service Management (JSM) administration and workflow automation with Java and Python development, API integrations, and AI-driven automation to improve request quality, operational efficiency, and decision-making. The successful candidate will own the end-to-end lifecycle of intake solutions, from requirements gathering and workflow design to implementation, deployment, monitoring, and continuous improvement.

Key Responsibilities

Design, configure, and maintain Jira Service Management portals, intake forms, request types, custom fields, workflows, approvals, queues, SLAs, permissions, and validation rules.
Develop automation solutions to classify, prioritize, route, assign, and track requests while minimizing manual intervention.
Create reusable workflows for task creation, subtasks, dependencies, notifications, escalations, SLA management, and status transitions.
Develop and maintain production-grade Java applications, Spring Boot services, Python scripts, and utilities to support intake automation and enterprise workflows.
Build and maintain REST APIs, webhooks, middleware, and event-driven integrations using Java, Python, JSON, HTTP, and related technologies.
Integrate Jira Service Management with enterprise platforms such as Confluence, Slack, Microsoft Teams, GitHub, Azure DevOps, email, and identity management systems.
Apply AI, Generative AI, and natural language processing (NLP) to improve request classification, structured data extraction, duplicate detection, priority recommendations, and routing accuracy.
Design responsible AI workflows incorporating validation, confidence thresholds, explainability, security, privacy, human oversight, and fallback mechanisms.
Develop dashboards and reports to monitor intake volumes, demand patterns, aging, throughput, SLA compliance, routing accuracy, and automation effectiveness.
Analyze operational data to identify bottlenecks, improve intake processes, and drive continuous service improvement.
Troubleshoot production issues using logs, metrics, audit records, distributed tracing, and automated tests.
Establish best practices for testing, monitoring, deployment, rollback, access control, security, and governance across Jira, application, integration, and AI solutions.
Collaborate with engineering, product, program management, QA, operations, and business stakeholders to translate requirements into reliable technical solutions.
Maintain technical documentation covering architecture, integrations, workflows, business rules, automation logic, and AI behavior.

Required Qualifications and Skills:

Minimum 3 years of experience in Jira Service Management administration, development, configuration, workflow automation, or related enterprise platform engineering.
Strong proficiency in Jira Service Management portals, request types, workflows, queues, SLAs, permissions, and automation rules.
Hands-on experience with Java and Spring Boot and/or Python application development.
Experience developing and integrating REST APIs, webhooks, JSON-based services, HTTP endpoints, and enterprise applications.
Understanding of authentication and authorization mechanisms, including OAuth 2.0, along with secure integration practices.
Knowledge of AI/GenAI, NLP, or intelligent automation applied to business processes and enterprise workflows.
Experience with SQL, production troubleshooting, testing, logging, monitoring, and observability.
Familiarity with Agile methodologies, cross-functional collaboration, technical documentation, and iterative delivery.
Strong analytical, problem-solving, communication, and debugging skills.

Preferred Qualifications and Skills

Experience with additional Atlassian tools and extensions, including Atlassian Forge, ScriptRunner, Assets, Advanced Roadmaps, and Marketplace applications.
Familiarity with AI development frameworks and technologies such as LangChain, Amazon Bedrock, retrieval-augmented generation (RAG), embeddings, vector search, and AI evaluation.
Experience with AWS or other cloud platforms for deploying and operating enterprise applications.
Knowledge of CI/CD pipelines, automated testing, Docker, Kubernetes, Infrastructure as Code (IaC), and Configuration as Code.
Understanding of responsible AI principles, enterprise security, data privacy, and AI governance.
Relevant Atlassian, Java, Python, cloud, or AI certifications are an advantage.

Key Success Criteria:

Improved intake quality, request completeness, and routing accuracy.
Reduced manual effort through workflow automation and intelligent request processing.
Reliable integrations between Jira Service Management and enterprise systems.
Improved SLA compliance, request visibility, operational reporting, and workflow performance.
Secure, scalable, maintainable, and well-documented automation solutions.

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More about this job

Responsibilities

Design, build, and maintain Jira Service Management intake workflows and automation, including integrations with enterprise platforms and Java or Python services. Apply AI-driven request processing, monitor operational performance, troubleshoot production issues, and establish secure, reliable, well-documented solutions.

Requirements

Requires at least three years of experience with Jira Service Management administration, development, configuration, or workflow automation, along with hands-on Java and Spring Boot and/or Python development. Candidates should also have experience with APIs and integrations, secure authentication, AI or NLP applications, SQL, production troubleshooting, and cross-functional Agile delivery.

Skills

Jira Service Management
Workflow Automation
Java
Spring Boot
Python
REST APIs
Webhooks
AI and Generative AI
Natural Language Processing
SQL
OAuth 2.0
Enterprise Integrations
Production Troubleshooting
Monitoring and Observability
Agile Methodologies
Technical Documentation

Visa sponsorship

Not detected in the job text

Keywords

Jira Service Management
Atlassian
Java
Spring Boot
Python
REST APIs
Webhooks
JSON
HTTP
OAuth 2.0
Artificial Intelligence
Generative AI
Natural Language Processing
LangChain
Amazon Bedrock
Retrieval-Augmented Generation
Embeddings
Vector Search
SQL
Confluence
Slack
Microsoft Teams
GitHub
Azure DevOps
AWS
Docker
Kubernetes
CI/CD
Infrastructure as Code
Agile

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