Amazon.com Services LLC Looking For Sr. SDE, Amazon Ad Tech at Arizona Full Time

4+ years of professional software development experience

3+ years of programming experience with at least one software programming language

2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems

Experience as a mentor, tech lead OR leading an engineering team

• Bachelors (BS/BE) in Computer Science or related field
• Experience developing objected-oriented software and designing and building large scale distributed system
• Top notch coding skills in Java and/or C++
• Strong sense of ownership and drive
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability
• Ability to learn new technologies and systems
• Excellent communication skills, both written and verbal

Job summary

Sr SDE – Amazon Ads

**NOTE: This position supports a hybrid location model in the US. Customer Trust is primarily based in San Diego, Santa Monica (LA), New York, Arlington (Washington DC), Seattle and the Bay Area. You can also choose a primary office nearest to you in, Chicago, Austin, Boulder, Toronto or Miami as well. For all of these main offices, you have the flexibility to work remotely from that office all but 1-2 weeks per quarter. Required office time is based on purposeful collaboration sessions with team members, booked at least two months in advance.**

The Amazon Ads team has an opportunity for you to tackle some of the most exciting problems in Advertisement , software architecture design, and building highly scalable services.

Are you a passionate software engineer with stellar experience in working on to deliver state-of-the art solutions on Advertisement used by millions of customers?

Do you enjoy working with product leaders, scientists and rock-stars engineers to deliver AI/ML powered software solutions that delight customers?

if so, we would love to hear from you. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated product, on other high quality sites across the web, and on millions of Kindles, mobile devices and OTT streaming platform.

Moderation and Relevance within Amazon Ads is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers.We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of Ads submitted by thousands of advertisers in multiple countries and languages.

As a Sr. Software Development Engineer in the Customer Trust Organization, you will build engineering and machine learning systems to detect ads that are not meeting amazon advertising policy. You will also build platform that will be used by the applied science team and the operations teams to quickly experiment with and build new ML models and rules. You will get to use latest distributed systems and big data and Machine learning technologies .

This role will involve architecting, designing and developing software systems that enable many use cases for Amazon Advertising. The individual in this role will have the responsibility help define requirements, create software design, implement code to these specifications, provide thorough unit and integration testing, and support products deployed in production and used by our stakeholders and customers.

Key job responsibilities

Think big, bringing fresh ideas for a Ads Moderation ecosystem.

You take a long-term view of architecture, proactively fixing deficiencies and/or proposing larger projects.

You understand the business impact of your systems and show good judgment when making technical trade-offs.

You are a key influencer in team strategy.

You bring perspective and provide context to guide future technology choices.

Your code submissions and approach to work are exemplary. You write software that is easy for others to contribute to.

You drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards.

When confronted with discordant views, you are able to find the best way forward and influence others to follow that path (build consensus).

You contribute to the professional development of colleagues, improving their technical knowledge and engineering practices.

You ensure your team is stronger because of your presence, but does not require your presence to be successful

About the team

Customer Trust team within Amazon Advertising org’s vision is to safeguard customers from defective or trust breaking ads while empowering Advertisers to successfully build policy compliant & performant ads. Our mission is to ensure reliable, consistent and automated enforcement of world-wide ads policies via an extensible and intelligent moderation infrastructure, continuously drive for defect free advertising experience by leveraging customer feedback and invent ways to reduce friction for advertisers in their moderation journey.

Key job responsibilities

Responsibilities:
Translate functional requirements into robust, scalable, supportable solutions that work well within the overall system architecture

Design and develop highly distributed components of our advertising system.

Work as full stack engineer to architect, design and build product from scratch that should delight advertisers and customers

Apply big data technologies and Work closely with our Applied Scientist and product managers to design experiments with machine learning / deep learning techniques

Brainstorm with Product management and partner teams about new ideas, technical design; make data-driven decisions to inform product prioritization.

Be an early adopter of emerging AWS technologies for AdTech use cases.

Establish the best processes and drive improvements in design, development and operations

Mentor and guide junior engineers on design, coding, troubleshooting and operational excellence

Think out of the box!

Familiarity with designing large distributed application

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.