Principal Software Engineer
Amazon
Principal Software Engineer
Amazon
Sells products online and rents cloud computing
We are looking for a Principal Software Development Engineer to lead our Enterprise Productivity organization's transformation to AI-native software development — redefining how 50+ services serving over a million employees are designed, built, tested, deployed, and maintained.
Enterprise Productivity powers how every employee at one of the world's largest technology companies creates, communicates, collaborates, and operates — from messaging and collaboration platforms serving hundreds of thousands of monthly active users, to email infrastructure protecting billions of messages annually, to content platforms hosting billions of documents, to SaaS governance spanning dozens of enterprise applications. Our engineers are already AI-augmented, yet end-to-end delivery velocity hasn't kept pace — because the lifecycle surrounding code (planning, specification, review, release, operations) remains traditionally bound. You will close this gap.
What You'll Do
You will solve four principal-level challenges that no single team can address alone:
1. AI Agent Governance at Enterprise Scale
2. Vendor API Reliability & Observability
3. Email Infrastructure Modernization
4. AI-Native SDLC Transformation
You will operate as 50% hands-on builder and 50% influencer — shipping production-grade systems while leading cross-team design reviews and mentoring senior engineers toward AI-native proficiency. Based in Dublin, you will be the principal technical leader for our largest engineering hub outside the US, architecting first-party services as reusable platform capabilities and establishing the technical framework to transform third-party vendor integrations.
Key job responsibilities
* Architect and deliver the AI-native SDLC framework — defining how existing services transform and new services are built AI-native from inception
* Design cross-cutting AI governance architecture enabling governed, auditable agent-to-service interactions at enterprise scale
* Lead email security re-architecture from legacy to AI-native threat detection at billion-message scale
* Build reusable AI primitives and reference implementations that compound across 50+ services
* Design vendor reliability patterns (predictive health, circuit breakers, auto-adaptation) and the technical framework for transforming third-party services
* Lead cross-pillar design reviews, raising the architectural bar across multiple engineering teams
* Mentor senior engineers toward AI-native proficiency, growing organizational capacity independently
* Represent the Dublin engineering hub in organization-wide technical decisions
About the team
Enterprise Productivity owns 50+ services powering how over a million employees create, communicate, collaborate, and operate every day. Our portfolio spans messaging and collaboration platforms, meeting and voice infrastructure, email security protecting billions of messages annually, content management hosting billions of documents, SaaS governance, and AI governance infrastructure enabling safe agent-to-service interactions at enterprise scale. We are transforming into an AI-first product team — our vision: "You make the decisions. Our tools do the rest." Our Dublin engineering hub is central to this transformation, with teams here owning critical services across the full portfolio.
* Software development experience with architecting and delivering large-scale distributed systems serving millions of users
* Experience leading technical strategy and driving architectural decisions across multiple engineering teams without direct authority
* Experience designing and implementing AI/ML-powered systems, automation frameworks, or intelligent operational tooling in production environments
* Experience defining and driving adoption of software development methodologies, frameworks, or platform capabilities across an engineering organization
* Experience transforming software development lifecycles to incorporate AI-native practices (spec-driven development, AI-assisted code generation, automated testing from specifications, intelligent CI/CD)
* Experience building autonomous operations capabilities including self-healing systems, predictive maintenance, or AI-powered incident response
* Experience with AI agent orchestration, MCP integrations, or LLM-powered automation at enterprise scale
* Experience operating across diverse technology portfolios spanning both first-party services and third-party SaaS platform integrations
* Track record of establishing technical communities of practice, mentoring senior engineers, and raising the engineering bar across organizations
* Experience working in or with enterprise productivity, collaboration, or communication platforms at scale
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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