Software Development Manager, Training and Certification

About the role

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

AWS Training and Certification helps millions of builders learn the cloud, and AWS Skill Builder is where that learning happens for individuals and the organizations they work in. The Skill Builder Learner Experience team owns what the learner sees and does: discovery, learning plans, progress, and the AI-powered experiences that are changing how people learn.

We are hiring a Software Development Manager to lead a new engineering team inside Skill Builder Learner Experience. This team builds the foundations the rest of the learner experience runs on: the experimentation capabilities that let us test and ship changes safely, the API layer that fronts our learner-facing services, and the services behind our AI-assisted learning experiences. You will set the technical direction for the team, hire and grow its engineers, and partner with product, science, and the other Learner Experience teams in the US and Korea to turn a roadmap into shipped experiences.

At Amazon we hire hands-on managers. You will go deep on architecture, operations, and delivery, and you will be expected to make good calls with incomplete information. You will own the health of your services in production and the growth of the people who build them.

Key job responsibilities

• Lead, hire, and develop a team of software development engineers, setting a high bar for engineering quality, operational excellence, and inclusive team culture
• Own the technical vision and roadmap for the team's services: experimentation, the learner-facing API layer, learner services for AI-assisted learning
• Partner with product management, applied science, and peer engineering teams to define what to build, sequence it, and deliver it on committed dates
• Drive architecture and design reviews, and make the trade-off calls between speed, scale, security, and cost
• Own production operations for the team's services, including on-call health, availability, and continuous reduction of operational load
• Report progress, risks, and decisions clearly to senior leadership and stakeholders across Training and Certification
• Build the team's engineering practices around AI-assisted development so the team ships faster without lowering the quality bar

A day in the life

• You start the day reviewing an experiment readout with your product partner and deciding whether to ramp a new learner-facing feature.
• Mid-morning you sit in a design review for a change to the API layer's authorization model, pushing on failure modes and rollout plan.
• In the afternoon you write the weekly business review for your services and spend an hour with a candidate in a hiring loop.
• You spend time the later afternoon with the engineering lead on their growth plan, then join a sync with the Korea-based team on a shared dependency.

Basic Qualifications

• 3+ years of engineering team management experience
• 7+ years of engineering experience
• 8+ years of leading the definition and development of multi tier web services experience
• 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
• 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
• 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
• 5+ years of Software Engineer, Software Developer, or related occupational experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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

Preferred Qualifications

• 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
• Experience with AI/ML technologies

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

• USA, OR, Portland - 184,900.00 - 250,200.00 USD annually
• USA, WA, Bellevue - 184,900.00 - 250,200.00 USD annually
• USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually