Software Development Manager, ICON

Amazon Inc.; Dublin; On-site; EUR 150,000 - 190,000; Full time

Job summary

Amazon Development Centre Ireland Limited in Dublin seeks a Software Development Manager to lead an AI-native factory creating automated workflows for Amazon's production infrastructure. You will guide engineers, own the test pipeline, and drive scalable, validated workflows that improve security, reliability, and efficiency.

The role emphasizes hands-on leadership, AI-enabled design, and cross-team collaboration to deliver production-ready automation while mentoring a multidisciplinary team of

Qualifications

• Knowledge of engineering practices and patterns across the software development lifecycle.
• Experience managing teams or delivering complex software systems 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.

Responsibilities

• Own the technical vision, roadmap, and architecture for your team's scope and deliver end-to-end.
• Own the test pipeline and use data to measure correctness and catch regressions before release.
• Partner with service teams to turn operational tasks into validated, reusable workflows at scale.
• Contribute core factory capabilities and align with partner teams on architecture and roadmap.
• Expand operational ownership of workflows from manual to supervised autonomy.
• Make AI-in-production tradeoffs between autonomy, speed, safety and cost.
• Set safety-first practices for production, with risk mitigation and escalation ownership.
• Lead adoption of AI development tools and measure impact on delivery speed and quality.
• Hire, retain, and grow a multidisciplinary team of engineers and scientists.
• Demonstrate value through measurable reductions in toil and improvements in execution.

Skills

Engineering practices

Team management

Distributed systems

Strategy & prioritization

Job description

Job ID: 10584565 | Amazon Development Centre Ireland Limited

The Intelligent Cloud Hosting (ICON) team is looking for a Software Development Manager who is passionate to work on the development of innovative software products which will help boost engineers productivity in Amazon, for improving services' posture towards security, availability, efficiency, compliance and maintainability. We aim to eliminate vast quantities of undifferentiated work for Amazon development teams - our opportunity for impact to tens of thousands of developers is enormous. As the Software Development Manager for ICON's team in Dublin, you are a hands-on leader who guides engineers building the AI native factory that produces automation to operate on Amazon's production infrastructure. Your team owns the test pipeline that validates every workflow before it reaches production, builds workflows that run at Amazon scale, and contributes core capabilities to the factory. ICON operates critical services that power the Amazon shopping experience. Keeping those services healthy has required manual runbook authoring, interrupt-driven toil, and undocumented expertise held by individual engineers. The factory replaces that work with validated automation. Engineers describe operational intent in natural language, and the factory produces a validated, production-ready workflow tailored to that service's unique context. An engineer describes a routine change, such as moving a service to a new instance type during the next maintenance window, and the factory generates, validates, and executes the workflow. Engineers state the outcome they need, and the factory supplies the operational knowledge, safety checks, and execution steps. We are an AI-native team. We use AI across every aspect of our work, from workflow generation and validation to execution monitoring and continuous learning. The factory uses AI agents grounded in Amazon's operational history to generate, validate, and improve every workflow it delivers. On this team, AI-native leadership is a daily practice. You use LLMs and agents in your own work, from drafting designs and analyzing operational data to reviewing code and preparing business reviews. You set the standard for how your team builds with AI, measure the productivity gains, and share what works across the organization. You understand how agentic systems behave in production: where they succeed, how they fail, and which guardrails keep them safe.

Key job responsibilities

• Own the technical vision, roadmap, and architecture for your team's scope, and deliver it end-to-end as the factory takes on new classes of operational work.
• Own the test pipeline that every generated workflow passes before production, and use automated evaluation and execution data to measure correctness and catch regressions before release.
• Partner with service teams to find high-toil operational tasks and turn them into validated, reusable workflows that run at Amazon scale.
• Contribute core capabilities to the factory, and align with partner teams on shared architecture and roadmap.
• Expand the share of operational work that agents own end-to-end, moving each workflow in stages from human-approved execution to supervised autonomy.
• Make the higher-stakes tradeoffs that come with AI in production: autonomy versus approval, speed versus safety, and model capability versus cost.
• Set a safety-first bar for production: separate fast experimentation from production-grade automation, establish operating best practices for traditional and AI-powered workloads, and own risk mitigation and escalations.
• Lead your team's adoption of AI development tools, measure the effect on delivery speed and quality, and share proven practices with partner teams.
• Hire, retain, and grow a multidisciplinary team of engineers and scientists who ship AI-native products at Amazon scale; set clear goals, give regular feedback, and manage performance.
• Earn adoption across service teams by making the factory effortless to use and trustworthy in production, and prove its value through measurable results in hours saved and execution success.

A day in the life

• Reviewing a design for a new test pipeline stage that applies lessons from a recent operational event, so every generated workflow is checked against that failure mode.
• Meeting with a partner team about a repetitive operational task, and leaving with a plan to turn it into the next automated workflow.
• Aligning with partner teams on a shared platform capability your engineers are contributing.
• Pairing with a scientist on your team on how to score workflow quality automatically, so the platform improves with every run.
• Coaching an engineer through their first design review, helping them reason about blast radius and rollback for automation that runs in production.

Our team builds and operates the AI-native factory that produces automation for Amazon's production infrastructure. The Dublin team owns the factory's test pipeline and workflow delivery, and contributes core factory capabilities. We are an AI-native team that uses AI across every aspect of our work, from workflow design and code generation to validation and operational monitoring. ICON hosts Amazon's customer-facing websites and backend services, centralizing management and automation so developers across Amazon can focus on customer innovation.

Basic Qualifications

• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
• Experience managing teams, or experience building complex software systems that have been 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.

Preferred Qualifications

• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers.
• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy.
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage.

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