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Текст:
Hirify AI/Оригинал
TL;DR
Software Development Manager (AI): Building an AI-native factory that generates, validates, and executes production workflows for Amazon infrastructure with an accent on distributed systems, safety, and operational automation. Focus on owning the test pipeline, expanding agent autonomy, making production risk tradeoffs, and leading engineers and scientists building AI-native products at Amazon scale.
Location: Dublin, Ireland
Company
hirify.global operates customer-facing websites and backend services while building AI-native automation for its production infrastructure.
What you will do
Own the technical vision, roadmap, and architecture for the AI-native operational automation factory.
Own the test pipeline that validates generated workflows before production and use evaluation and execution data to detect regressions.
Partner with service teams to convert high-toil operational tasks into validated workflows running at hirify.global scale.
Expand agent ownership of operational work from human-approved execution to supervised autonomy while managing safety, cost, and approval tradeoffs.
Establish production-grade operating practices, risk mitigation, and escalation processes for traditional and AI-powered workloads.
Hire, retain, coach, and manage a multidisciplinary team of engineers and scientists, while driving adoption of AI development tools.
Requirements
Knowledge of engineering practices and patterns across the full software, hardware, and network development life cycle, including coding standards, code reviews, source control, builds, testing, certification, and live-site operations.
Experience managing teams or building complex software systems successfully delivered to customers.
Experience designing, building, operating, and managing large-scale distributed systems or web services.
Track record of partnering with product, program, and technical leadership to define strategy and priorities.
Nice to have
Experience recruiting, hiring, mentoring, coaching, and managing Software Engineer teams to improve their skills and effectiveness.
Experience communicating with users, technical teams, and senior leadership about requirements, software features, technical designs, and product strategy.
Experience with Data and AI technologies, including AI/ML, GenAI, analytics, databases, or storage.
Culture & Benefits
AI is used across design, prototyping, code generation, testing, deployment, workflow validation, and operational monitoring.
The team focuses on safety-first production automation and trustworthy AI-generated workflows.
The role collaborates with service, partner, product, program, and technical leadership teams.
The work supports hirify.global developers by reducing manual runbook authoring, operational toil, and undocumented expertise dependencies.
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