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Software Development Engineer II, Infrastructure Supply Chain Automation, Infrastructure Supply Chain Automation

Amazon Web Services (AWS)

  • Bengaluru, India
  • Competitive Package
  • 3-5 Years
  • Posted Today
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About the role

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

As a Software Development Engineer II on our Infrastructure Supply Chain Automation team, you will build large-scale distributed applications using serverless technologies, data lakes, and NoSQL databases to automate the complex processes that keep AWS infrastructure growing ahead of customer demand. The team is expanding quickly with a strong pipeline of projects ready for you on day one, and we are actively investing in new features and AI adoption. If you enjoy building systems from the ground up and solving problems that require creative, unconventional thinking, this is the role for you.

Key job responsibilities

  • Design and build large-scale distributed applications using serverless technologies, data lakes, and NoSQL databases to automate infrastructure supply chain processes for AWS.
  • Collaborate with internal teams such to understand scaling requirements, translating them into technical designs that account for performance, security, and long-term maintainability.
  • Write high-quality, well-documented code across the full development lifecycle, from requirements gathering through deployment and operations, ensuring solutions can be maintained by engineers new to the codebase.
  • Mentor junior engineers through code reviews and design discussions, actively training new team members on system architecture and operational practices.
  • Identify root causes of operational issues and drive permanent fixes, improving system reliability through proactive monitoring and automation.

A day in the life

You start your morning reviewing deployment metrics and triaging any operational alerts. By mid-morning, you are whiteboarding a new automation workflow with teammates, weighing tradeoffs around data structures, algorithms, and service dependencies. After lunch, you pair with a junior engineer on a code change, coaching them through the review process.

Later, you pick up one of the projects waiting in the team's backlog, scoping the technical approach and drafting a design document for peer review.

About The Team

The Infrastructure Supply Chain Automation team sits within AWS Infrastructure Services and directly contributes to the scaling capability of core AWS services. We work alongside software, hardware, and network engineers, supply chain specialists, security experts, and operations managers across AWS. Together we help deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.

With a growing project pipeline and active investment in AI-driven capabilities, this is a compelling time to join. You will experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Inclusive Experiences

Amazon values inclusive experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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
  • 2+ years of building complex software 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

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.

Company - ADCI - Karnataka

Job ID: A10567650

Eligibility & process

Who can apply

Seniority: Mid-Senior level. Employment type: Full-time

Skills & stack

AWS System Design Data Structures & Algorithms Python/Java SQL REST APIs Docker Git

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (AWS, System Design, Data Structures & Algorithms, Python/Java, SQL, REST APIs, Docker, Git) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Amazon Web Services (AWS) Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer
Model answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer
Model answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer
Model answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer
Model answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer
Model answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Behavioural & HR questions 3
Why do you want to join Amazon Web Services (AWS) as a Software Development Engineer II, Infrastructure Supply Chain Automation, Infrastructure Supply Chain Automation?
Highlight Amazon Web Services (AWS)'s market reputation, recent tech innovations, and how your skills in AWS directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Amazon Web Services (AWS) Competitive Package
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