Engineering Team Lead — AI-Driven Jira Cloud App

ScriptRunner

England

In loco

GBP 90.000 - 120.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

ScriptRunner, part of The Adaptavist Group, is seeking an Engineering Team Lead to guide the team behind Enhanced Search, a Jira Cloud app delivering advanced JQL capabilities for enterprise customers.

You’ll lead a five-strong engineering squad, partner with Product, Design, QA, and Documentation, and shape the roadmap while driving AI-enabled development practices across the lifecycle.

Competenze

  • Strong technical background in software engineering across modern stacks.
  • Experience leading software engineering teams and coaching engineers.
  • Experience using AI coding tools as part of development workflow.
  • Experience running agile delivery in Scrum or Kanban environments.
  • Experience building services on AWS and delivering via CI/CD.
  • Solid understanding of distributed systems and REST APIs.
  • Excellent communication with technical and non-technical stakeholders.

Mansioni

  • Lead a team of five software engineers, coaching growth and career progression.
  • Partner with Product and design to shape roadmaps and quarterly objectives.
  • Drive delivery planning, ceremonies, and day-to-day execution, removing blockers.
  • Guide architecture, delivery, and engineering decisions with a strong technical basis.
  • Own quality, security, and cost of the product in production.

Conoscenze

Java
TypeScript
Python
Leadership
Agile/Scrum
AWS
REST APIs
AI tools
Communication

Strumenti

CI/CD
Cloud platforms

Descrizione del lavoro

ScriptRunner, part of The Adaptavist Group, is seeking an Engineering Team Lead to guide the team behind Enhanced Search, a Jira Cloud app delivering advanced JQL capabilities for enterprise customers.

You’ll lead a five-strong engineering squad, partner with Product, Design, QA, and Documentation, and shape the roadmap while driving AI-enabled development practices across the lifecycle.

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