SDE III, PV Sports Lifecycle

Amazon is hiring an SDE III, PV Sports Lifecycle in Austin, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Pay on this posting starts in line with the typical software engineer posting on Level.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Love sports? Want to change the world? Prime Video is re-inventing the live sports experience by merging high-quality live streaming, immersive interactive features, and exclusive access to some of the world's most loved sports properties including the NFL, NBA, English Premier League and UEFA Champions League soccer, Roland-Garros (French Open), the US Open and more. Every day we face the challenges of a fast-paced market and expanding technology set. And we're building at a scale only Amazon is capable of. The Prime Video Sports team is a single-threaded-owner, uniquely positioned to execute our vision across the entire Prime Video stack to deliver the most compelling new experiences to our customers. If
this sounds like the type of experience you'd like to help build - apply here and let's chat!

Key job responsibilities
1. Lead the design, implementation, and delivery of multi-tier distributed services and customer experiences across multiple engineers.
2. Own team architecture—providing system-wide perspective, design guidance, and influencing future technology choices.
3. Drive clarity in ambiguous problem spaces; understand business impact and make sound technical trade-offs between short-term and long-term needs.
4. Identify and resolve root causes of endemic problems, including areas where your team limits the innovation of other teams.
5. Communicate technical designs and decisions effectively in writing, including for technical non-engineering audiences when required.
6. Actively coach and mentor multiple engineers, fostering growth within and beyond your team.
7. Drive adoption of engineering best practices—code organization, clarity, simplicity, error handling, and documentation.
8. Collaborate effectively across a large organization (software development, QA, Project/Release Management, Build and Release, etc.) and create the right checkpoints with dependent teams to ensure successful delivery.
9. Proactively identify architecture deficiencies and simplify existing systems and solutions.
10. Deliver frequently and incrementally, balancing speed of delivery with building the right foundation for the future.

About the team
We are deeply connected with the idea that live sports events are fundamentally different: there is only one shot at delivering the moment until it is forever lost. Our mission is to make sure that our customers never miss a single moment of the sports they love. To do this we need to deliver best-in-class live sports infrastructure, testing, monitoring, and operations to optimize the delivery of live sports experiences at scale. Our team engineers for speed, quality, availability, and scale. As Prime Video has grown, we've increased the depth and breadth of video products we support, with a corresponding increase in the associated size and complexity of our engineering activity and the load on our services. Our goal is to adapt our architecture to maintain and improve our velocity of delivery for customers in the face of these changes, and for our services to be on and error-free 24/7, especially for high-profile, exclusive content. With AI as a transformative force, we're at an inflection point that enables us to unlock new opportunities in predictive analytics, automated defect analysis and mitigation, and automated operations that were previously beyond our reach.

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
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 168,100.00 - 227,400.00 USD annually

How we rate this

SDE III, PV Sports Lifecycle at Amazon rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.