Amazon

Software Development Engineer, Finance Technology

Hyderabad, Telangana · On-site · 3+ yrs · Mid · Full-time

  • c#
  • c++
  • java
  • perl

SDE in payments fintech building billion-dollar transaction systems with AI-assisted development.

Apply on Amazon's site Ask for a referral Interview prep

Posted 23 Oct 2026 · found on Amazon's own careers page

Interview prep: questions this posting points to

Written from 8 current Platform postings on Amazon's own careers page — not questions Amazon has asked.

  1. Walk me through how you'd design a globally distributed seller verification system that needs to keep data consistent across regions while still being fast enough for real-time validation. Where do you put the consistency boundary?
    From the posting: “Drive cross-regional data consistency, caching strategies, and distributed transaction management”
  2. One of your 18+ Labor Insights services starts missing the 10-15 minute report refresh SLA during peak warehouse shift-change hours, and operations managers across several of the 9,800+ facilities are complaining about stale productivity numbers. Walk me through how you'd triage this live.
    From the posting: “own design and development of distributed systems that refresh reports every 10–15 minutes across 3 global regions while maintaining 99.9% availability”
  3. Describe a time when you had to drive a technical initiative end-to-end — from architecture all the way through delivery. What was your role, and what made it hard?
    From the posting: “Lead technical initiatives end-to-end, from architecture through delivery”
See all 69 questions More on this prep
Read the full job description

We are responsible for billions of dollars of payments each month to millions of Amazon vendors across the globe. We delight our vendors by paying them when they want and how they want, accurately and on time. We build software applications that facilitate global financial transactions worth billions (USD) annually, rivaling the complexity and scope of dedicated payments fintech companies. Our systems decide how and when a payment happens, carry it out across the world's payment networks, and account for it — all under real regulatory, tax, and audit obligations, in every geography Amazon operates in.

You will have the opportunity to work in a high-paced environment leveraging the AI-Driven Development Lifecycle (AIDLC) within our core principles of engineering, to deliver faster and ship features incrementally. Ownership is the center of this role, and ownership here means the whole lifecycle rather than just the code. You will take features from working backwards from the customer through design, implementation, testing, deployment, and documentation — and you stay accountable for how they behave in production long after they ship. Own features and components of our payment systems end-to-end.

The business problem and the technology direction will be understood; how to actually build it will not be, and that part is yours. Design the solution and make the tradeoffs. You will code independently, and you will have senior and principal engineers to pull in when a tradeoff is genuinely hard or when a design needs to line up with where the architecture is heading. Work directly with product managers and business stakeholders — finance, tax, and accounts payable operations — to understand what they need and why, so that you build the right thing.

You will hear the requirement first-hand rather than through a written hand-off, and you will be expected to push back when the ask and the outcome do not line up. Ship incrementally. Large payment changes land safely through staged rollout and measurement, not through a single release. Reduce operational load.

Our best work turns a recurring manual intervention into a code fix or a self-healing mechanism, not another runbook step. Leave the system better explained than you found it. What you build should be maintainable and extensible by an engineer who has never seen it, which means clear documentation and design choices that hold up without you in the room. Raise the bar around you: code review as a teaching mechanism, mentoring engineers earlier in their careers, and getting new teammates productive on how our software is built, how it operates, and how it fits into the bigger picture.

Building with agentic AI We are not experimenting with AI on the side — it is how we work. You will use AI agents across the development lifecycle: exploring unfamiliar systems, drafting and reviewing designs, generating and testing code, triaging production issues, and automating the operational work that used to consume a week of on-call. We expect engineers to be strong directors of these agents and rigorous verifiers of their output. The judgment stays with you: you are accountable for what ships, whether you typed it or an agent did.

Agentic capabilities are increasingly part of the systems themselves — automating decisions and investigations that previously required a human in the loop — and you will have room to build them. Why this team Payments is one of the few places in software where the business logic is genuinely hard, the scale is enormous, and a mistake has an immediate real-world consequence — a vendor who does not get paid when they expected. If you want real ownership, global scope, and the freedom to build with the newest tools available rather than waiting for permission to try them, this is a good place to build a career.

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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 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 - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience with cloud computing or web services or related areas - Experience using AI-assisted development tools in academic or professional settings Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Members get roles like this as soon as we find them on the company's careers page, and paid plans email the ones that match their resume.

Get new roles first — free

More at Amazon