Delivery Consultant - Cloud Security Namer jobs at Amazon in United States, Austin

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.

- BS degree in electrical engineering or equivalent
- 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 scripting for automation (e.g., Python, Perl, Ruby)
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

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
The successful candidate will be operationally responsible for several of Amazon.com's Data Centers during the day shift. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Routinely review ticket queue for large events and address accordingly
- Coordinate change management resources
- Guide, train and educate data staff on the best practices related to all service owner issues
- Manage and deliver mid-size projects
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs- Provide weekly report to the data center manager
- Maintain the on-call schedule coordinating absence and vacations
- Recruit and train data technicians to ensure appropriate staffing levels
- Host weekly staff meetings
- Write and deliver performance reviews for staffA day in the life
*Why AWS*
*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.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship 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.
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.

- 2+ years of engineering team management experience
- 4+ years of professional or military experience, or Bachelor's degree in computer science or equivalent
- Bachelor's degree
- 3+ years of networking and troubleshooting experience
- Experience with general troubleshooting/debugging of hardware, or experience in development in the last 3 years
- Experience with system management tools and client/server environments

Key job responsibilities- Enhance detection engineering processes to improve the detection engineering lifecycle.
- Develop platform requirements used to enrich alerts, and automate remediation and response actions.
- Research and develop mechanisms across to enhanceMachine-Learning, advanced data correlation, risk-based alerting, or Generative AI.
- Provide tactical detection support during security incidents.
- Automate your way through challenges using Python or other scripting language.Work/Life BalanceTraining 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience triaging and developing security alerts and response automation, conducting front-line analysis, and providing escalation support
- Experience scripting with Python, Perl, Bash or PowerShell
- 1+ years of non academic experience in any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience

- Bonus: Experience using Machine-Learning, Large Language Models (LLM), or Agentic workflows

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Key job responsibilities
As an SDE II, you’ll contribute to your team’s software, delivering features that span its life cycle. This includes working with your team to design solutions that enhance existing features and enable new ones. You’ll exercise autonomy and make trade-offs between feature development and operational work.You’ll also document your team’s software, including how it’s constructed, tested, operated, and secured, and how it fits into the bigger picture. You’ll train team members on these points and work alongside customers, stakeholders, and peers to ensure your solutions deliver real value.We’re committed to developing our people, and as an SDE II, you’ll mentor and guide others. You’ll also play a role in recruiting and interviewing for your team.

- 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

The VMR Operations organization is looking for a Senior Security Engineer with deep technical expertise in security operations and vulnerability management to join us in building and maturing our VMR Operations programs. In this role, you will be responsible for defining and holding the security bar for VMR’s Campaign Management Program, which enables builders and drives remediation actions across Amazon. You will leverage relationships with engineers across Stores Security, business teams, and leaders throughout Amazon to ensure security, compliance, and privacy risks are correctly assessed and mitigations properly designed. You will build trust with senior engineers and leaders by leveraging your technical expertise to understand technical challenges, design improved solutions, and hold a high program bar. Finally, you will use your information security expertise to champion and drive risk-based decisions across complex, multi-disciplinary programs to ensure Amazon properly manages security risk.Key job responsibilities
You will be responsible for defining and enforcing the quality bar for all security, privacy, and compliance campaigns launched across Amazon.You will leverage relationships with engineers and managers across Stores Security to intake, prioritize, and launch security campaigns.You will build trust with Amazon builders by ensuring all campaigns we launch are of the highest quality bar, including clear descriptions of the security risk, steps for remediation, and insight to prevent future issues.You will partner with your peers to continuously improve the Campaign Management Program, with an emphasis on constant improvement through small, iterative changes to our processes and tooling.About the team
Diverse Experiences
Amazon Security 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 Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.
Mentorship 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Cybersecurity, or related technical degree; or 4+ years equivalent technology experience.
- 7 years engineering experience in system, network, and/or application security or the development of security products.
- 5 years experience improving accuracy of vulnerability detection mechanisms across a diverse technical ecosystem.
- 5 years experience and deep knowledge of vulnerabilities, exploits and vulnerability management systems. Experience building applications or systems on cloud-based services.

- Understanding of networking, operating system internals, and system design.
- Experience across the vulnerability management and remediation lifecycle from assessment through remediation.
- Experience with developing exploits, host-based, and container-based detections.
- Experience with AWS services.

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.

- BS degree in electrical engineering or equivalent
- 3+ years in RTL design for SOC
- 3+ years of VLSI engineering
- 3+ years with code quality tools including: Spyglass, LINT, or CDC

- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills