Senior Software Development Engineer, QA Team
Imagine your future with us.
ABOUT THIS ROLE
As a Senior Software Development Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with the latest tech, tools and systems that you need to succeed.You’ll drive the team forward, guiding them over every obstacle and leading the way to develop exciting, original and effective solutions. Leading the way, you’ll bring our team together to build and maintain our platform to bring thousands of stories to millions of listeners and unleash the power of the human voice.
ABOUT THE TEAM
Joining our team provides the unique challenge and opportunity to deliver software that improves developer efficiency for Audible engineers around the world. These systems are built using cutting edge technologies and products from AWS like Kinesis, S3, EMR, Elastic Search, Java, etc.
ABOUT YOU
You’re in your element when you’re being challenged, and you’re always eager to share your ideas, take on responsibility and keep developing at an exciting pace. We look for people who show initiative, set their standards high and see every failure as an opportunity to learn.You’re looking for an environment where you can thrive and help your team reach their potential. With opportunities to challenge yourself and lead a talented team to success, you’ll find what you’re looking for at Audible.
As a Senior Software Development Engineer, you will...- Develop, test, and maintain software components and applications for the world's largest audiobook creator and provider
- Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods
- Write maintainable and scalable code for software components as part of an agile engineering team
- Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software that inspires and impacts users
- Apply computer science, engineering, and analysis principles to solve moderate-scale problems
- Continuously enhance testability, operational excellence (OE), and documentation for owned software components
- Handle data classification, storage, and management in accordance with company policies
- Participate in the interview process and provide mentorship to fellow engineers
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit.We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
A day in the life- 3+ years experience of software development and deployment of distributed multi-tier applications
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Programming experience with one or more modern languages (e.g., Java, C++, C#), including object-oriented design
- Bachelor’s degree or higher in Computer Science
- Business fluency in written and verbal English- Work on internal tooling to enhance builder productivity by working on Automation tools, web applications, API development and more
- Experience in building scalable software services (e.g., SOA, Micro-services)
- Experience building and delivering software systems to internal or external customers
- Knowledge of professional software development life cycle best practices, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
- Can take a defined design, turn it into high quality code, and deliver it on schedule
- Proficient in a broad range of data structures and algorithms, knowing when it is (and isn’t) appropriate to use them
- Experience with Computer Science fundamentals including data structures, algorithms, and problem solving
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