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Software Development Engineer Full Stack Aws jobs at Amazon in United States, Mountain View

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Mountain View
15 jobs found
20.09.2025
A

Amazon Mechanical Engineer Data Center Colocation Regional Engineer... United States, California, Mountain View

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Description:
Description

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.You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.Key job responsibilities
- Influence AWS’ design and specification requirements to meet our business needs for AWS colocation products.
- Investigate and document root-cause failure analysis associated with infrastructure and equipment failures.
- Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes.
- Travel to Data Center sites as required - International & Domestic (up to 50%)A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.Colo Regional Engineers:
- Possess strong engineering judgement and are able to provide recommendations despite uncertainty.
- Are detail and data oriented.
- Manage engineering projects and consultants.
- Build trust and relationships with different stakeholders.
- Be inclined to get into the field to see things up close.
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.

Basic Qualifications

- Engineering degree in Mechanical Engineering or related discipline
- 4+ years experience in Data Center or Carrier-class Telecommunications design, engineering, and/or operations and maintenance (O&M) of data center critical environment infrastructure.


Preferred Qualifications

- Master’s degree in engineering
- 8+ years cumulative data center design experience
- PE or EIT
- Prior project management experience; PMP, PMIPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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20.09.2025
A

Amazon Mechanical Engineer Data Center Colocation Regional Engineer... United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Description:
Description

As a full stack Software Development Engineer, you’ll architect the next generation of our computer vision and artificial intelligence infrastructure. In this role, you'll drive technical strategy and innovation across our platform, leading the development of foundational services that process billions of photos while enabling revolutionary AI features. You'll shape the technical direction of Amazon Photos' machine learning capabilities and influence how millions of customers interact with their memories.Key job responsibilities* Architect and lead development of large-scale distributed systems handling petabyte-scale photo processing and ML model serving
* Drive technical decisions across multiple teams, establishing patterns and best practices for system-wide integration and operational excellence
* Build and lead high-performing engineering teams, mentoring senior engineers and developing technical talent across the organization
* Partner with ML scientists and research teams to productionize computer vision and AI technologies at scale
* Design and implement foundational services and frameworks that enable rapid innovation and improve team velocity
* Lead architecture reviews and technical deep dives, ensuring solutions meet requirements for scalability, reliability, and performance
* Collaborate with senior leadership and product teams to define roadmaps and drive strategic technical initiatives
* Establish and maintain operational standards, metrics, and practices for critical services running at global scale

Basic Qualifications

- 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
- Background in distributed systems and scalable architectures


Preferred Qualifications

- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- Experience leading large-scale ML/AI infrastructure projects
- Track record of delivering complex technical initiatives across multiple teams
- Deep expertise in cloud computing and microservices architecture
- Experience mentoring engineers and developing technical talent

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03.09.2025
A

Amazon Software Development Engineer Full Stack AWS United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Description:
DESCRIPTION

We are seeking a Senior Full Stack Software Engineer (SDE3) who will drive end-to-end development initiatives and provide technical leadership within the team. As a Senior Software Engineer, you will own complex architectural decisions spanning front-end interfaces to back-end systems, while collaborating effectively with partner teams and mentoring other engineers. You'll lead the design and implementation of scalable solutions, working backwards from customer needs to develop well-architected technical approaches. This role requires bringing clarity to ambiguous problems and delivering elegant solutions through constructive technical discussions and consensus building.You will be responsible for: Leading technical design reviews and contributing to architectural decisions that may impact partner teams. Mentoring other engineers while delivering production-ready full stack solutions. Driving operational excellence through monitoring, alerting, and incident response. Balancing speed of delivery with architectural requirements and long-term maintainability. Collaborating with partner teams to identify and resolve systemic issues. Setting examples for code quality, testing practices, and deployment strategies. Contributing to the team's long-term technical investments and architectural visionThe role requires strong full stack expertise, demonstrated technical experience, and the ability to solve complex problems with solutions that are as simple as possible.
Key job responsibilitiesDiverse 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.
Why AWS?Sales, Marketing and Global Services (SMGS)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

BASIC QUALIFICATIONS

- 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 in computer science or equivalent


PREFERRED QUALIFICATIONS

- 5+ 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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Limitless High-tech career opportunities - Expoint
Description:
Description

Key job responsibilities

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language


Preferred Qualifications

- PhD in computer science, machine learning, engineering, or related fields
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains

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