Back
Niche Atlassian plus LLM production integration skills and Groovy expertise limit candidate pool.
Role requires specialized Atlassian, enterprise automation, and secure clinical-trial compliance experience, limiting cross-industry transfers.
Explicit 5+ years, mandatory Atlassian track requirements, and specific tech stack and compliance needs produce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Operate in two modes: embedded with business SMEs to identify and automate high-impact workflows using AI; and lead or contribute to delivery squads shipping AI-driven automation solutions rapidly.
Design, prototype, and deliver custom AI agents, automations, and tools tailored to specific workflows, ensuring enterprise standards for security, scalability, and maintainability.
Measure success by the number of workflows transformed and adoption of AI tools by business teams, while mentoring users and junior engineers for sustainable solution operation.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
5+ years in enterprise automation, software development, or IT engineering.
3+ years of hands-on Atlassian developer experience including Jira, Jira Service Management, Confluence, Forge, and ScriptRunner.
Proficiency in JavaScript/TypeScript, Python, and Groovy with experience in AI development toolkits and enterprise SaaS integrations.
Work Experience Required: 5+ years as above. Notice period: Not explicitly mentioned in the JD.
Experienced in embedding with business teams to discover undocumented workflows and deliver rapid AI-driven automation with measurable business impact.
Skilled in leading or contributing to small, agile delivery teams working under time pressure with clear delivery accountability.
Strong communicator capable of articulating technical solutions and business cases to both technical teams and executive stakeholders, with proven mentoring ability.