Software Development Engineer Sales Ai jobs at Amazon in United States, New York

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Why AWS?Inclusive Team CultureMentorship & 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

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

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

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

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.Key job responsibilities

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

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

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availabilityMonitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)Perform rack installs and rack decommissioning within internal SLAPerform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipmentTechnical writing to support change management programMonitor daily work requests and manage to resolution, and execute projects from conception to completionOn-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationA day in the life

- high school diploma or equivalent
- Technical (Military/Trade School) training or 2+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical) 2+ years of electrical or mechanical experience
- 2+ years’ experience with Microsoft Office products (including Excel, Word and PowerPoint)

- 4+ years of data center engineering experience
- Associate's degree, or Bachelor's degree

See our section in Andy Jassy 2020 re:Invent keynoteAs a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving Front-End technologies like React, open-source libraries, a full-stack code base, MicroServices and more.Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)

- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.