Software Development Manager, AWS WorkSpaces Applications

Amazon•Mountain View, CA

About The Position

As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Do you want to design, build and operate services that are used by millions of customers every day? Are you passionate about architecting highly available and large-scale services? If the answer is yes, the WorkSpaces Applications team wants to talk with you. WorkSpaces Applications is an AWS End User Computing (EUC) service that enables SaaS application streaming or delivery of virtual desktops. WorkSpaces Applications is a rapidly-growing service that offers customers incredibly scalable and robust application and virtual desktop streaming. We are looking for an experienced development leader to lead a team of software development engineers to build reliable, highly scalable distributed systems. You will work closely with product management and other business partners to define strategy and visions, clarify requirements, and lead development teams from concept through delivery and subsequent operation. You will have regular communication with senior management on status, risks and product strategy, requiring strong written communications. You will be a thought leader, but you don't just know how to solve the problem, you prove it by leading team to build the solution. Last but not the least; you will have a high bar for code quality and passion for design and architecture We are growing at an incredible pace with a rapid increase in adoption and usage. As a result, we offer a unique opportunity to solve some of the most interesting problems associated with providing secure, reliable, fast and highly scalable solutions. You will get to build on top of AWS utilizing industry-leading patters on EC2, S3, DynamoDB, Kinesis, Lambda, APIGateway, etc. We strive to deliver innovating solutions and features that enable millions of concurrent streams, faster than human perception end to end streaming latency, lowest possible cost per streaming session, secure and isolated streams for best compute and graphics utilization, high fidelity graphics, broad server OS selection as well as client OS footprint. We are looking for a leader who believe in providing world-class application streaming experience for AWS Enterprise and ISV customers while leading the AI-native transformation for the team.

Requirements

3+ years of engineering team management experience
7+ years of working directly within engineering teams experience
3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
8+ years of leading the definition and development of multi tier web services experience
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams

Nice To Haves

Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Responsibilities

Lead and mentor a team of engineers responsible for designing, developing, delivering and operating secure, reliable and scalable services for WorkSpaces Applications.
Shape the roadmap that explains how you will be evolving the service to meet customer and technology needs.
Drive the AI-native transformation, collaborate across teams and functions as necessary to achieve your goals.
Analyze operational metrics and implement best practices and processes to minimize engineering churn and improve organizational productivity.
Foster a culture of innovation, continuous learning, and operational excellence, influencing within the team and beyond.