DESCRIPTION
The Amazon Search team owns the software that powers Search - a critical customer-focused feature of Amazon.com. Whenever you visit an Amazon site anywhere in the world, it's our technology that delivers you outstanding search results. Our services are used by millions of Amazon customers a day.

Our team is responsible for the large-scale distributed systems that power those experiences. We design, build and operate high performance fault tolerant services that apply the latest technologies to solve customer problems.

A day in the life
As a software engineer on this team you will:
- Evolve and grow a world-class search system, using AWS technologies to build systems that will be deployed to tens of thousands of machines worldwide, serving billions of requests with latencies in the tens of milliseconds.
- Develop a cutting-edge framework for distributed applications and explore new ways to solve key problems at scale – Everything from how we do A/B tests to high performance inference with deep learned models and LLMs.
- Lead the design, implementation, and operational excellence of critical tier I services from authentication and authorization to deep learning serving infrastructure for matching and ranking in Search backend.
- Maintain a focus on scalability, latency, performance robustness, and cost trade-offs in a containerized cloud-based environment.

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

Palo Alto, CA, USA | San Francisco, CA, USA

BASIC QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- 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 object-oriented programming experience in at least one of C++/Java/Scala
- Strong computer science fundamentals in data structures, algorithms, and complexity analysis.

PREFERRED QUALIFICATIONS
- Master's degree in computer science or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Large-scale distributed systems experience, including scalability and fault tolerance.
- Familiarity with at least one functional programming language like Scala, Clojure, Haskell etc.
- Experience implementing large-scale low-latency distributed systems and working with scalable algorithms utilizing large amounts of data.
- Familiarity with performance testing of distributed systems
- Polished communication skills, with the ability to communicate with confidence, clarity, and focus.
- Experience managing and deploying containerized applications on AWS

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 $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.