Jira Service Management Engineer

Q1Tech — Canada · Posted ~2 hours ago

Mid Contract Onsite

Skills

Jira Service Management Atlassian tools Java Python REST APIs webhooks CI/CD Agile methodologies REST API AWS

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Summary ✨ AI‑Generated

Looking for an Atlassian-focused engineer to configure service management workflows, build integrations, develop applications, and improve enterprise technology operations using modern development tools.

Highlights

Contract role focused on enterprise service management, automation, integrations, and modern software development practices.

Description

Jira Service Management Engineer(Atlassian Engineer) 6 months Contract Brampton, ON- 3 days a week Onsite 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 CICD 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 Skill sets- 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