Systems Development Engineer Sort Tech Support jobs at Amazon in United States, Tempe

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.In this role, you will drive mechanical engineering services design, construction, and implementation of enterprise data centres that meet global quality and performance standards. Working directly with Design Engineering Stakeholders, Construction, Operations, and Commissioning teams within the APAC region.Key job responsibilities- Evaluate cooling systems using in-depth CFD knowledge to make data-driven decisions aligned with our guidelines
- Drive successful project delivery while maintaining the highest performance standards
- Utilize innovation to reduce PUE, water consumption, and CAPEX while increasing efficiency
- Develop mechanical documentation including but not limited to narratives, drawings, specifications, etc.
- Drive process improvements across the organization.
- Perform building energy use calculations for determining capacity and type of cooling system required
- Perform CFD models on innovative and next generation designs
- Provide reports to senior leadership on the results of those models
- Perform water efficiency use calculations to determine quantity of water needed on site
- Develop special projects and assist senior engineers with detailed calculations for special projects
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.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

- 5 years experience with Sigma Six or HELYX CFD modeling software
- Bachelor’s degree or higher in mechanical engineering
- Thorough understanding and use of principals, theories and concepts in mechanical engineering
- 8 years experience in designing HVAC systems

- Engineer in training or Chartered Engineer
- Understanding of building controls documentation
- Programming skills in Python and AI tools
- Deep understanding of data center mechanical systems and cooling control schemes.
- Knowledge of industry standards such as ASHRAE, NFPA, AIRAH, etc.

The SPTO Tools Program team is responsible for the customer relations management tools and technology used in the day to day operations at Amazon. The team is also responsible for reducing the cost to serve or operational expense for a contact, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages CRM tools developed inhouse by Amazon to deliver the service and associated goals. As a Support Engineer, you will be responsible for analyzing operational processes to design, develop, test, launch and continuously improve high quality self-service software products called Paramount workflows and AWS Connect Contact Flows. You will work with the Selling Partner Trust Operations (SPTO) Organization to understand their business models and generate technical requirements supported by program technology. You will work cross functionally with Operations, Product Managers, Software Engineers, Business Analysts, Data Scientists and Program Managers on medium to large scale projects ensuring clear communication of project status, timelines and any challenges in Product Delivery. In addition, you will develop ownership of support engineering processes to improve the product development lifecycle of CRM Tools.Key job responsibilities
• Engage with operations, product, development, and program stakeholders to document requirements, create functional specifications and generate process maps.
• Design, develop, test, launch and improve self-service software products such as Paramount workflows.
• Operate as a Subject Matter Expert on Amazon’s internal authoring application and workflow engine to develop Paramount workflows.
• Engage with software development teams to understand and guide evolving program technology.
• Deep dive technical product or operational issues to propose and implement simple and effective solutions.
• Develop efficient solutions through low and medium complexity code implementations, either by integrating existing APIs or creating new APIs to harness the capabilities of Large Language Models (LLMs).
• Work directly with engineering teams to ensure that customer issues are resolved as expediently as possible and root causes are addressed utilizing continuous improvement methodologies.
• Drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation.
• Complete analysis and present periodic reviews of operational performance and KPIs.
• Think proactively and work to prevent support issues before they are realized.A day in the life

- 4+ years of software development, or 4+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- Experience in agile/scrum or related collaborative workflow
- Experience with automatic contact routing, VoIP and any contact center case management tools
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or Master's degree

- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Knowledge of web services, distributed systems, and web application development.
- Experience with programming/mark up/scripting languages (Java, JavaScript, Ruby, SQL, Markdown, HTML and CSS).
- Experience with developing and integrating Agentic AI solutions.

As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms, vision-language models (VLMs) or large language models (LLMs)

As an Amazon Senior Software Development Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited amount of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Key job responsibilities
We’re looking for software engineers passionate about building software solutions end-to-end, have strong software development experience delivering at scale solutions, and systems design skills. You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.A day in the life
Work/Life Balance
Mentorship & Career Growth

- 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
- Bachelor's degree

- 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

The Quality Control Engineer (QCE) plays an essential role in AWS Data Center Capacity Delivery’s (DCCD) Integrated Project Quality (IPQ) program. This position is responsible for overseeing and executing quality assurance and control (QAQC) processes throughout the lifecycle of data center construction projects, ensuring that all work meets AWS's high standards for quality, safety, and performance.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
1. Lead the implementation of QAQC processes throughout data center construction projects, from pre-design to turnover phases and beyond.2. Review design documents and provide feedback on constructability, maintainability, and quality assurance measures.3. Develop and maintain quality control plans, factory/field inspection checklists, and relevant documentation.4. Conduct onsite QAQC inspections for installation activities, ensuring compliance with AWS standards and specifications.5. Coordinate with third-party Quality Control Agents/Vendors (QCA) to ensure comprehensive QAQC.6. Facilitate regular QC meetings with stakeholders to review and address quality-related issues.7. Monitor and report on quality metrics and Key Performance Indicators (KPIs) throughout the project lifecycle.8. Identify, document, and track quality defects or non-conformances, ensuring timely resolution.9. Compile and deliver comprehensive quality control turnover packages for each project phase.10. Conduct final quality reviews and walkthroughs with key stakeholders prior to project handover.11. Facilitate knowledge transfer to end customers on QAQC processes and lessons learned.12. Contribute to continuous improvement initiatives by analyzing quality data and proposing process enhancements.14. Stay current with industry best practices and AWS-specific quality standards, incorporating them into quality control processes.
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.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.

• Bachelor's degree in Engineering (Mechanical, Electrical, or related field) or equivalent experience.• 5+ years of experience in quality control, construction management, or related field, preferably in data center or critical infrastructure projects.• Strong understanding of construction processes, mechanical and electrical systems, and quality control methodologies. Knowledge of industry standards and best practices related to construction quality control.• Excellent analytical and problem-solving skills with attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.• Willingness to travel up to 75% of the time to various project sites across North and South America.

• Professional certifications such as Certified Quality Engineer (CQE) or Project Management Professional (PMP) or Professional Engineer (PE).• Proficiency in Microsoft Office Suite and familiarity with project management software (e.g., Procore).• Experience with data center infrastructure and critical systems or those with related complexity.• Familiarity with AWS infrastructure and cloud computing concepts.

This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.

- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts, version control, CI/CD pipelines, testing and monitoring, infrastructure automation.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.

- 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