Cloud Architect jobs in United States, California, Cupertino

We are looking for software engineers with a penchant for solving complex problems. They will get to work on a generating solutions, and hence will need to be able to make progress against ambiguous requirements with self-initiative, and customer focus. These engineers drive best practices, mentor other engineers and drive continuous improvements in engineering excellence. We are looking for someone who has an established background delivering highly distributed systems at scale, design patterns like SDKs, libraries, versioning, and a strong operational track record while working with multiple teams.
Key job responsibilities
You're a seasoned engineer with rich experience in designing, developing, and supporting multiple software intensive systems. You will be successful if you:2) Care about code quality and readability
3) Are comfortable working with data structures as much as discussing software development processes with your peers
4) Get inspired by collecting product and system metrics, and by proposing improvements
5) Persevere when troubleshooting build, deployment or live issues7) Love to see your code deployed, and want to see it happening more oftenA day in the life2) Engaging in technical discussions and brainstorming sessions to devise software strategies.
3) Active participation in our development sprints, reviewing code, and ensuring the implementation of best practices.
4) Interacting with stakeholders, understanding their needs, and translating them into technical solutions.6) Regularly reviewing and optimising existing systems and processes for better efficiency and performance.

- 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

Utility Computing (UC)
About AWS
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.Work/Life BalanceMentorship & 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.
About the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

- B.S. in Electrical Engineering or related technical field
- 5+ years of domain experience
- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role

- Master's degree in electrical engineering, computer engineering, or equivalent
- Good analytical, problem solving, and communication skills

Utility Computing (UC)
About AWS
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.Work/Life BalanceMentorship & 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.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
- Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
- Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.
- Perform lint and clock domain crossing quality checks on the design.
You will thrive in this role if you:
- Are familiar with scripting in Python
- Are proficient with assertions
- Have good debug skills to analyze RTL test failures
- Have a "Learn and Be Curious" mindsetAbout the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

- B.S. in Electrical Engineering or related technical field
- 5+ years in RTL design for SOC
- 5+ years in VLSI engineering
- 5+ years with code quality tools including: Spyglass, LINT, or CDC

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Experience with automation and scripting languages such as Python
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

As an Amazon Web Services (AWS) Senior Solutions Architect within the Strategic Accounts segment, you are responsible for partnering with our most valuable customers to design cloud architectures utilizing AWS services. In this role, you will help our customers solve business challenges such as rapidly releasing products/services to the market or building an elastic, scalable, cost optimized application. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing AWS Services. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation. Along the way, you will get the opportunity to enhance your own body of knowledge and have some fun.As a core member of the account team, you will drive AWS usage and adoption across a specific customer. As a trusted customer advocate, you will help organizations understand and implement advanced cloud-based solutions, and how to migrate and scale existing workloads in the cloud. You will have the opportunity to shape and execute a strategy to build knowledge and broad use of AWS. You will also need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, marketing, and professional services, as well as representing your team to executive management.
Key job responsibilitiesMentorship & 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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
- Experience with a programming or scripting language.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.