Experience Inc. Jobs

Description

Do you want to work on scaled security solutions in the cloud? Are you excited to help customers automate security operations giving them unprecedented capability and agility? Do you enjoy working on fast-paced complex projects focused on game changing business outcomes for customer globally?

As a member of the AWS Generative AI Innovation Center, you will have the opportunity to pioneer technically excellent security framework supporting generative AI customer engagements as well as championing security solutions address critical needs of generative AI such as Responsible AI initiatives that are meaningful to their business. Building on those experiences you’ll collaborate AWS service teams on new features, innovate with new technologies and explore new challenges.

Key job responsibilities

· Build & deploy security infrastructure and automate security operations for customers

· Collaborate on internal builder projects

· Become a deep technical resource that earns our customers trust on security and responsible AI

· Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our consultants, partners, and customers build on the work you deliver.

· Innovate on behalf of customers; translate your thoughts into action yielding measurable results.

· This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

A day in the life

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

About the team

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

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

We are open to hiring candidates to work out of one of the following locations:

Atlanta, GA, USA | Austin, TX, USA | Dallas, TX, USA | Houston, TX, USA | Miami, FL, USA | New York, NY, USA | San Diego, CA, USA | San Francisco, CA, USA | Seattle, WA, USA | Washington Dc, DC, USA

Basic Qualifications

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)

• Experience with statistical measures such as confidence intervals, significance of error measurements, development and/or evaluation data sets, etc.

• 5 years' experience in IT security, compliance, or risk management

Preferred Qualifications

• Master's degree, or PhD

• Hands-on technical expertise in building security capabilities in code and deploying infrastructure in code

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.