Software Development Engineer II, Intelligent Cloud Hosting (ICON)

AI in this role

Design and build production generative AI workflow that automate incident investigation workflows and cloud infrastructure reliability.

bedrockawsdynamodbstep-functionsathena

generative-aimachine-learningdistributed-systemsincident-response

Amazon's Intelligent Cloud Hosting (ICON) team is looking for a Software Development Engineer (SDE) to join our team.

ICON is responsible for the reliability and operational excellence of Amazon's cloud hosting infrastructure, supporting all of Amazon's global marketplaces, partner portals, and consumer experiences including Kindle, Alexa, Amazon Video, and the Mobile Application. The team builds intelligent systems that proactively detect, diagnose, and resolve incidents across hundreds of thousands of services powering one of the world's largest distributed architectures.

The challenges SDEs solve on this team are high-impact and mission-critical. The team is building AI-powered incident response systems that automatically investigate production issues, identify root causes from metrics, logs, and deployment events, and recommend mitigations to on-call engineers. These systems operate at massive scale, processing thousands of signals per investigation and reducing mean-time-to-resolution for critical production incidents.

As an SDE II on the team, you will design and build production generative AI workflow that automate incident investigation workflows, from alert ingestion through root-cause analysis to mitigation recommendations. You will work on tier-1, multi-tenant, high-performance systems built on AWS services (Step Functions, Bedrock, DynamoDB, Athena) with technical challenges unique to this kind of scale and throughput. You will build developer productivity and operational tooling including orchestration, predictive analytics, automated diagnosis, and self-healing systems. The team is looking for engineers who are passionate about applying generative AI and machine learning to operational problems, thrive in ambiguous environments, and want to build systems that keep Amazon's infrastructure running for millions of customers worldwide.

Key job responsibilities
- Design and build distributed systems and automation in a large-scale cloud environment that supports millions of customers globally
- Develop scalable services and tools on AWS that process high volumes of operational data to drive better decision-making
- Solve broadly defined problems from design to delivery, balancing speed with long-term technical quality
- Collaborate with engineers, scientists, and product managers to scope projects and ensure deliverables meet a high quality bar
- Evaluate and apply emerging technologies, including generative AI and machine learning, to solve real-world operational challenges
- Work in an agile environment delivering high-quality software with a strong focus on operational excellence, security, and availability

About the team
The ICON team hosts Amazon websites and backend platform services that power the customer experience. We abstract and centralize the management from service teams, bring agility to business processes, and operate 100s of Tier-1 services behalf of our internal customers. ICON is an early adopter of Amazon’s product offerings and automates the management and operational activities on behalf of developers to strengthen services’ posture towards security, availability, and efficiency so that service developers can innovate on behalf of Amazon’s end customers. The ICON team is located within the Intelligent Control (ICC) organization who owns connecting our worldwide websites and other consumer experiences such as Kindle, Amazon Video, and Alexa to the internet, as well as ensuring the highest level of availability, security and privacy of the web services that power the experience we deliver to our customers worldwide.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, Intelligent Cloud Hosting (ICON) at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Generative AIMachine LearningDistributed SystemsIncident ResponseBedrockAWSDynamodbStep Functions

Questions you could be asked

Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where incident response was part of your work. What did you do?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Generative AI, Machine Learning, Distributed Systems, Incident Response, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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