Lead Software Development Engineer
About This Role
As a Lead Software Engineer, it's up to you to design, architect, and implement content discovery solutions that drive transformative technological advancements. The ideal candidate will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems.
About The Team
Our Kaleidoscope Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of adaptive intelligence and dynamic layout applications. Our mission is to develop the next generation of customer-centric solutions to help Audible customers find their next listen effortless.
As a Lead Software Engineer, you will...
- Design and develop novel discovery architecture systems
- Development end-to-end solutions addressing complex technical and business challenges
- Architect systems with a focus on performance, scalability, and efficiency
- Conduct advanced research and prototype innovative adaptive layout and intelligence approaches
- Collaborate cross-functionally to align technical solutions with strategic objectives
- Mentor junior engineers and contribute to technical knowledge sharing
- Lead technical design reviews and provide architectural guidance
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or equivalent in Computer Science
Preferred Qualifications
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Pay
USA, NJ, Newark - 184,900.00 - 250,200.00 USD annually