Systems Development Engineer - Video Infrastructure

Description

Do you want to directly influence the experience of your most critical customers? Does providing creative solutions to complex technology problems motivate you? Worldwide Operations Security is seeking a pioneer to help build a world-class video analytics and security infrastructure for our fulfillment teams across the globe.

We are looking for a Systems Development Engineer to develop video analytics functionality and create innovative video security solutions built upon leading AI engines such as Amazon Bedrock and Rekognition. You will be responsible for designing and building systems to deploy, maintain, and extend our internal video capabilities globally. This position will include the development and implementation of internally written software for highly specialized analytics systems, application deployment, and support. You will use AWS products and DevOps patterns to build this next generation of video tools.

The candidate we're seeking is a motivated builder who drives innovation and will deliver results to our customers. This is a hands-on position where your daily activities will range from strategic planning to new system development to supporting the customers that depend on your services. You will deliver consistent, well-defined results in an agile development workflow. To succeed in this role, you will deliver on-time results that delight your customers while inspiring your team to think big about their work. If this sounds like a fit, we would love to speak with you.

Key job responsibilities
- Create cloud-based video analytics solutions for use by internal stakeholders.
- Continuously strive for operational excellence by seeking to provide cost-effective and highly available solutions.
- Participate in original creation and implementation of scalable infrastructure automation tools that allow Amazon to get the most out of our global Operations video security infrastructure.
- Ensure that all products are designed to be secure, robust, scalable, maintainable and adaptable as the services scale and evolve over time.
- Build instrumentation to provide visibility into the health of your products, along with alerting and self-healing capabilities.
- Uphold a high standard of code quality and engineering excellence.

A day in the life
Our team develops analytics and automation tools using AWS services and internal AI platforms to provide video solutions to our internal security and safety teams. We use Agile Scrum to track our project work, conducting biweekly sprint planning meetings and 3 standup meetings a week to coordinate efforts. We work closely with our internal stakeholders in the Loss Prevention, Operations, and Safety organizations. Typical project work includes creating new solutions based on customer requirements for expanding video system capabilities. Typical operations work includes providing escalation support for anything that the front-line support team requires assistance with.


About the team
The Video Management Systems (VMS) in use at Amazon sites are critical tools for ensuring the safety of Amazon associates and the security of our facilities. Our team's vision is to make sure the VMS infrastructure is easy to deploy, configured the same way at each site, highly available, and used to its full potential. We're a small, collaborative engineering team who overlap in responsibilities and project work. Plan to spend time working will teammates on building new tools for making our vision a reality, and on coordinating closely with stakeholders to learn their needs and deliver the results they're looking for.

Basic Qualifications

- Bachelor's degree
- Experience building services using AWS products
- 3+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Preferred Qualifications

- Experience with distributed systems at scale
- Bachelor's degree in computer science or equivalent
- Experience with video encoding and streaming media standards
- Experience using managed ML/AI solutions

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.