It Support Engineer jobs in United States

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Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 6cefafbccba1

Job Views: 4

Posted: 02.05.2025

Expiry Date: 16.06.2025

Do you thrive on solving complex problems with simple solutions? Would you like to drive innovation for Amazon's Customer Service (CS) global customers influenced by Gen AI solutions?

Join Amazon Customer Service (CS) technology organization as a Software Development Engineer on our platform level horizontal services engineering team.

We develop and maintain search and retrieval capabilities across Global Content Store (GCS) and other diverse content. Our investments optimize content discoverability, implement advanced search algorithms, and ensure accurate query results. We support content indexing, content chunking, taxonomy management, and multilingual search functionalities. We enable seamless access to support content for both customer self-service and associate systems serving billions of requests globally. If you're passionate about developing innovative solutions, designing highly distributed systems that scale, and building for the future, this is your opportunity. You'll tackle algorithmically complex challenges, working on front-end and back-end services that scale to meet customer needs. Excitingly, you'll work on the latest versions of Large Language Models (LLMs) and generative AI initiatives reshaping the call center realm.

Key job responsibilities

1. Solve complex problems by applying appropriate technologies and best practices.
2. Collaborate with the team to invent, design, and build stable, high-performing, and scalable software solutions.
3. Make judicious trade-offs, reuse existing components where feasible, and carefully manage dependencies.
4. Provide technical guidance, advise on the team's direction, and offer feedback on designs.
5. Create prototypes to assist in decision-making processes.
6. Foster cross-team collaboration by working closely with partner teams across the organization.

A day in the life

We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.

If you're not sure every qualification on the list describes you exactly, we'd still love to hear from you! At Amazon, we value people with diverse backgrounds, experiences, and skillsets. If you're passionate about this role and want to make a global impact, please apply!

We at ACS strive to make customer service experiences effortless for our global customer base. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers to support Amazon products and services. We set the knowledge strategy for all verticals like Retail, Digital, Shipping and Delivery, Amazon Business, etc., and accelerate the delivery of seamless support experiences across Amazon's diverse products.

Our team combines strategic thinking, technology expertise, and customer experience best practices to ensure customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.

If you're interested, please request an informational chat with the hiring manager via the designated button. Your current manager and HRBP will not be notified.

• Bachelor's in Computer Science and Engineering
• 8+ years of experience as a mentor, tech lead, or leading an engineering team
• 8+ years of experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• 8+ years of professional, non-internship software development experience
• 8+ years of experience leading architecture and design of systems (architecture, design patterns, reliability, scalability)

• Experience with full software development lifecycle, domain expertise in Knowledge Management Lifecycle
• Exposure to AI/LLM-related technology and its applications