What are the responsibilities and job description for the Sr. Software Engineer, Amazon Ads, Sponsored Products position at Amazon?
DESCRIPTION
Job summary
Amazon's Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that “Sponsored” label you see on Amazon? The Sponsored Products team creates and optimizes the systems that match advertiser demand (ads) with page supply (placements) using a combination of data-driven product innovation, machine learning, big data analytics, and low latency/high-volume engineering. By the time organic search results are ready, we've processed all of the candidate ads and determined which ones are delivered to the page. We do that billions of times per day, resulting in millions of engagements with products that otherwise might not have been seen by shoppers. The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight all of our customers.
We are looking for a full stack Senior Software Development Engineer capable of delivering as an individual and being an engineering leaders and role model for others. This includes API and backend software design and development with a passion for solving problems at scale. The ideal candidate will be passionate about quality, consistency, maintainability, performance, security and all the other qualities that make great software great. You should be a leader with a startup mentality — seeking a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products. This position requires collaboration and leadership with other engineers on the team, product managers, technical program managers and partner teams, necessitating a comfort-level with ambiguity and a desire to create, iterate and improve.
Characteristics indicative of success in this role:
- Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
- Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'.
- Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and non-obvious solutions.
- Team obsessed individual contributor: You help grow your team members to achieve outstanding results. You've learned that big plans generally involve collaboration and great communications.
- Quality obsessed: You recognize that professional engineers ship complete, tested software to avoid getting trapped in a sea of technical debt. You balance speed with quality.
- Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.
BASIC QUALIFICATIONS
- 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
- Proficiency in requirements analysis and system design
- Proficiency in API design
- Proficiency in fundamentals of object-oriented design
- Proficiency in fundamentals of data structures, models, queries, and analysis
- Proficiency in fundamentals of algorithm design, data modeling, problem solving, and complexity analysis
- Proficiency in common software testing strategies such as unit, integration, load, performance, and A/B testing
- Proficiency in software design documentation (clear writing and diagramming)
PREFERRED QUALIFICATIONS
- Master's degree in Computer Science or related field
- 10 years professional experience in large-scale, data-intensive backend software engineering
- Experience with AWS and data-oriented tools such as ElasticSearch, Spark, ElastiCache, and DyanmoDB
- Experience with statistical modeling, data science and machine learning
- Experience as tech lead
- Experience in online advertising domain
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