Software Development Engineer II, TFS

About the job

If you are looking for high impact, high growth opportunity with interesting engineering challenges in a fast-paced environment, this is the role for you. We have a number of untapped high impact engineering and business opportunities with high criticality for Amazon. And have the opportunity to work on the leading technologies like AI/ML, Gen-AI, RAG and various AWS systems.

What will you own? You will work across a suite of products that drive complex business and engineering logic for managing financial accounting for ~$100B annual spend. These solutions leverage various AWS technologies and AI capabilities to solve large-scale complex problems. The systems demand non-trivial engineering, requiring deep business understanding and strong technical acumen. You will collaborate with stakeholders and product managers to identify opportunities for improving accuracy, expanding the solution across multiple geographies, and defining the technical roadmap while influencing solutions and tech decisions across teams.

Who we are? We, Transportation Financial Systems (TFS) are responsible for building technologies that support financial aspects for Amazon transportation. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world-class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever-expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales not only with volume but also with the business models. We leverage advanced technologies including big data, Gen-AI, machine learning, real time analytics and high volume, low latency, high availability services.

TFS is 100+ tech team across eight different platforms. We deal with problems of scale. Billions of dollars of spend is automated through our platforms and pipelines. We are a growing org and we are looking to ramp up our team across all engineering roles. This position offers the opportunity to collaborate with our global product teams and customers across the world and other tech teams in the organization as we raise the bar in delivering innovation. Our engineering team is completely based out of India, and we build global solutions.

We have a large product and tech roadmap and are significantly ramping our tech team to meet the next level of product requirements for Trans Finance.

Key job responsibilities - The Engineer in this job is expected to make the design (High level and Low level) decisions, own end to end (depth) for specific set of features while having breadth on rest of the features and provide technical guidance for the Junior members in the team. - Design and implement scalable solutions using Scala or Java, and AWS services - Mentor team members and collaborate across functions to deliver integrated solutions - Drive continuous improvement through code quality, testing, and technical debt reduction - Provide hands-on development for complex features while maintaining engineering excellence.

A day in the life Please reach out to avinayam@ for any further details.

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

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