Passionate about building owning and operating massively scalable systems Experienced in being in a team of highly competent software engineers making a billiondollar impact If so here is an opportunity tailored for you.
Who are we
Its no secret that Amazon relies on its technology to deliver millions of packages every day to its customers on time with low cost. Our Transportation Technology division builds the complex software solutions that work across our vendors warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second make business decisions impacting billions of dollars a year integrate with a network of small and large carriers worldwide manage business rules for millions of unique products and improve ordering and delivery experience for millions of online shoppers. This remains a fast growing business and our technical journey has only started. With rapid expansion into new geographies innovations in supply chain unique delivery models for products ranging from Fresh groceries to bigscreen TVs increasingly complex transportation network and growing number of shipments worldwide we see a brand new opportunity to fundamentally change the way people get the stuff they need and make a big impact by cutting billions of dollars of transportation costs from the ecosystem. Our mission is to build the most efficient and optimal transportation system on the planet using our engineering muscle as our biggest advantage. We aim to leverage latest technologies in machine learning and optimization techniques and operate high volume low latency and high availability services.
What will you do
Youll design and develop critical systems and applications primarily focused on preventing detecting and mitigating bad actors in Amazons transportation network leveraging latest Machine Learning and Generative AI technologies. Youll architect innovative solutions that combine advanced AI/ML models with traditional security approaches to identify and counter emerging threats. Youll build sophisticated detection systems while regularly interacting with engineering and business leadership.
You will participate in the planning and of securityfocused technology projects and operational excellence initiatives incorporating the latest developments in AI/ML for enhanced threat detection. Youll also mentor junior engineers in employing strong design and implementation practices particularly in building robust security systems powered by machine learning.
To accomplish this you will be expected to have an established background in building highly scalable systems and applications great communication skills and a motivation to achieve results in a fast paced environment. You should be somebody who enjoys working on complex system software is customercentric and feels strongly about building good software as well as making that software achieve its operational goals. Experience in building and operating largescale distributed systems with a focus on security architecture ML/AI implementation and advanced threat detection mechanisms will be very applicable and helpful.
Come and see for yourself why we are one of the most admired company in the US rated #1 in Innovation and # 1 in Customer Service and be part of our tradition of working hard having fun and making history!
4 years of noninternship professional software development experience
3 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience building complex software systems that have been successfully delivered to customers
3 years of programming using a modern programming language such as Java C or C# including objectoriented design experience
Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
Experience in machine learning data mining information retrieval statistics or natural language processing
Bachelors degree in computer science or equivalent
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