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About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As an SDE II you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.Key job responsibilities
- Solve challenging technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work in a startup-like development environment, where you’re always working on the most important stuff.
- 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
- 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
- Hands-on technical experience working on the Generative AI space
- 1+ years in machine learning or other computational modeling environments with an emphasis on building and optimizing models for diverse hardware platforms
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Sales, Marketing and Global Services (SMGS)Key job responsibilities
- Develop deep and trusted relationships with CxOs and leadership of selected market making System Integration Partners in Saudi Arabia by gaining a comprehensive understanding of their challenges, goals, and long-term vision.- Manage C-level relationships with key partners- Lead by example by attaining requisite trainings ( technical and commercial ) to be able to inspire the partners and their staff
- Be comfortable engaging across levels and personas at partner accountsAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- 10+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level

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About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As a Sr. SDE you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.Key job responsibilities
- Solve challenging technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work in a startup-like development environment, where you’re always working on the most important stuff.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Hands-on technical experience working on the Generative AI space
- Master's degree in computer science or equivalent
- 1+ years in machine learning or other computational modeling environments with an emphasis on building and optimizing models for diverse hardware platforms

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In this role, you will be responsible for building the process in which we engage our executives to meet with our customers. This role requires exceptional verbal and written communication skills, strong attention to detail and the ability to work backwards from ambiguous requirements to generate clear, concise communications that will be shared with our most senior executives. The right candidate is extremely data-driven, thrives in
a fast- paced, high-pressure entrepreneurial environment, and has proven experience
managing priorities and working effectively across a number of internal stakeholders.This role involves frequent engagement with AWS leadership and requires a candidate with executive presence, excellent interpersonal skills, and a proven ability to influence others. This is a hands-on-position, to be successful you must be willing to “roll up your sleeves” to drive the desired results.Key job responsibilities
• Work with field sales teams to create meaningful executive interactions with customers.
• Prepare executives for customer meetings and events.
• Build metrics, dashboards, and reporting mechanisms using Salesforce, Tableau, or other platforms to track activity and tie to outcomes.
• Create closed loop tracking to confirm follow-up and follow- through on customer engagements.
• Prepare enablement material for field sales team on best practices.
• Operate autonomously; drive end to end management of business goals.
• Shepherd special projects and initiatives from ideation, documentation to deployment.

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Key job responsibilities
- 8+ years of non-internship professional software development experience
- 8+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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About Sponsored Products and Brands
Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with AI/ML technologies
- 5+ 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

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Key job responsibilities
You will be responsible for designing and developing software products that will provide users across all of Amazon's advertising an ability to troubleshoot ADSP campaigns directly impacting Advertiser's experience using ADSP platform. You will be able to demonstrate a variety of architectural approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for extreme growth.A day in the life
- You will work with Petabyte scale data and figuring out the best way to stream it, compute it and store it in a cost optimized efficient way.
- You will work on building a Product that helps provides intelligent insights on why a Campaign may not be delivering its budget or performing as expected and contributing towards solving this hard and complex problem
- You will write high quality code
- You will review code
- You will work on improving Ops and contribute towards reducing no. of tickets and Time to Respond (TTR).
- 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
- 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

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About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As an SDE II you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.Key job responsibilities
- Solve challenging technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work in a startup-like development environment, where you’re always working on the most important stuff.
- 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
- 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
- Hands-on technical experience working on the Generative AI space
- 1+ years in machine learning or other computational modeling environments with an emphasis on building and optimizing models for diverse hardware platforms
These jobs might be a good fit