Carbon Black, Inc. has flagged the Principal Software Engineer - Big Data Performance Carbon Black, Inc job as unavailable. Let’s keep looking.

DESCRIPTION

Are you passionate about using Big Data to build customer trust and grow new business? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers. We’re looking for strong Software Engineers that can combine EMR, Redshift, Hadoop, Elastic Search and other technologies to build the next generation of our analytics and visualization platform. If this sounds interesting we’d love to hear from you!

Amazon is well positioned to grow its share of a fast growing online advertising industry due to its unique assets - e-commerce data, service oriented architecture, and startup culture. Be part of a team of industry leading experts that builds and operates one of the largest big data analytics platform at Amazon. Amazon is applying the latest machine learning and big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. We apply these technologies on terabytes of data (over 10B new events per day) and operate clusters that push scalability limits of the existing technologies. We seek to measure every possible signal indicating impact of advertising to provide the most objective result of marketing spends.

This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.

This role is based in our beautiful Boulder office next to Pearl street

Key job responsibilities

You will be responsible for designing and developing software products that will provide measurement data to a wide set of users across all of Amazon's advertising suite. You will be able to demonstrate a variety of approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You'll work with other Engineering teams, Data & Applied Scientists,, and other senior technical leaders who are advancing measurement science and causal inference. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for extreme growth.

A day in the life

We measure the effectiveness of ads through a range of deterministic measurement and modeling techniques, including scientific experiments and ML. We do this to enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely causal measurement for all Amazon ad products. We use a combination of deterministic and modeled measurement techniques to produce the estimates that are fast, accurate, and actionable. We apply the latest AWS big data and machine learning technologies on over 50 billion new events per day, operating petabyte size clusters. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.

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

Boulder, CO, USA

BASIC QUALIFICATIONS

  • 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

PREFERRED QUALIFICATIONS

  • 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
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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.

Read Full Description
Confirmed 4 hours ago. Posted 9 days ago.

Discover Similar Jobs

Suggested Articles