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Software Dev Engineer II, Alexa Connections

Amazon

Software Dev Engineer II, Alexa Connections

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

3w ago

Join Alexa Connections and Revolutionize How the World Connects!

Are you ready to shape the future of voice-driven communication? The Contacts team within Alexa Connections is seeking exceptional Software Development Engineers to join our dynamic, multi-faceted team. We're not just any tech team – we're the innovators behind Alexa's contact management capabilities, tackling everything from static algorithms to large-scale systems. Our work directly impacts millions of Alexa users worldwide, and we're at the forefront of integrating LLMs to create more natural voice experiences. If you're passionate about pushing the boundaries of what's possible in voice technology, this is your chance to make a real difference.

As a Software Development Engineer on our team, you'll be immersed in a world of diverse technical challenges. Your mission will involve developing sophisticated algorithms for enhanced search and ranking in contact management, designing and building highly scalable distributed backend systems, and leveraging the latest in LLM technology to make Alexa's voice interactions more intuitive and natural. You'll collaborate across teams to solve complex technical challenges that span the entire Alexa ecosystem, ensuring that our users have the most seamless and efficient communication experience possible. This role is perfect for those who thrive on variety and want to see their code make a tangible impact on a product used by millions.
Our team is constantly evolving, embracing the latest advancements in LLM models and AWS technologies to delight customers with truly seamless, error-free, and conversational experiences. The new features we're developing with LLM will catapult Alexa's capabilities to unprecedented levels, making it a true powerhouse in natural communication. You'll be part of a team that's electrified by this pivotal direction, fueled by our latest engagement results and motivated to continually push the boundaries of what's possible. Join us on this exhilarating journey, where you'll be building LLM-powered distributed systems that enable world-class, highly scalable, and user-friendly solutions. As we aspire to connect people through Alexa like never before, you'll be at the forefront of innovation, constantly discovering and achieving new milestones in voice technology.
Don't miss this opportunity to be part of something truly remarkable. Apply now and unlock your potential with Alexa!

Key job responsibilities
As a key member of the engineering team, you will have influence on our product and technology strategy by helping define the product features, refine system architecture, and spearhead best practices that enable a quality product. You will be working closely with LLM technologies in your day to day work.

You will be successfully setting up the architecture foundation for the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.

You should enjoy working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

A day in the life
Most of your day is writing code, running tests, and iterating.

When you hit a design decision, you write a short doc or sync with a teammate to align before going deeper. You review pull requests from others and get yours reviewed too. You push changes, monitor deployments, and fix anything that breaks.

Some days you join a quick sync with a product partner to clarify what needs to be built. You translate that into a technical plan and get back to coding.
About the team

Our team owns multiple micro services and Language models responsible for finding the correct contacts and channel for establishing communication. Typical team structure involves Sr.SDEs, SDE2s and SDE1s. You will be working directly with PEs, PMs, TPMs and other related stakeholders.

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

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.

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Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge