Engineering Manager, EMEA (Platform)

New
T
TestlioSoftware Testing Platform
Open to candidates residing in the United Kingdom, Spain, Portugal, Poland, the Czech Republic, Romania, and EstoniaFull-TimeManager
Salary not disclosed
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Job Details

Languages
Fluency in English
Experience
5+ years managing a team of 4+ engineers
Required Skills
AWSGraphQLNode.jsKafkaTypeScriptReactLLM

Requirements

  • 5+ years of experience managing a team of 4+ engineers in an agile, remote environment.
  • Recent hands-on experience writing production code and designing or evolving production systems.
  • Proven experience building LLM-powered or agentic features in production.
  • Strong proficiency with TypeScript, Node.js, AWS, and React.
  • Experience designing and building APIs; GraphQL and Kafka knowledge is a plus.
  • Experience with observability and APM tools such as New Relic, Datadog, or Sentry.
  • Strong understanding of application security best practices and SDLC integration.
  • Demonstrated experience modernizing legacy systems or managing technical debt.
  • Fluency in English with excellent written and verbal communication skills.
  • Prior SaaS experience is a plus.
  • Ability to work effectively in a distributed, asynchronous setting.

Responsibilities

  • Lead the team responsible for core platform capabilities used for planning and managing testing work.
  • Drive the design and delivery of agentic workflows integrated into the platform core.
  • Set multi-quarter technical direction in partnership with AI/ML and product teams.
  • Modernize fragmented data models and legacy services to ensure transactional integrity.
  • Own technical delivery from concept to production, turning strategy into a sequenced roadmap.
  • Establish effective engineering operating rhythms, including planning and design reviews.
  • Provide hands-on technical leadership, including code reviews and technical design sign-offs.
  • Own production support, triage, and root-cause analysis for platform domains.
  • Define service level objectives and performance monitoring dashboards.
  • Coach engineers on technical practices and AI-assisted development workflows.
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