Software Development Manager, SageMaker Training

Amazon Web Services (AWS); Bellevue (WA); Presencial; USD 185.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Amazon.com Services LLC in Bellevue, WA is seeking a Software Development Manager to lead the SageMaker Training and Model Customization team. You will oversee distributed, multi-tenant systems that underpin model fine-tuning and post-training workloads.

The role emphasizes building scalable infrastructure, mentoring engineers, hiring top talent, and ensuring engineering best practices across the full software lifecycle.

Formación

• 3+ years of engineering team management experience.
• 7+ years of working directly within engineering teams experience.
• 3+ years of designing or architecting scalable systems experience.
• 8+ years of leading the definition and development of multi-tier web services.
• Experience partnering with product or program management teams.

Responsabilidades

• Lead a team of highly skilled individuals toward critical business goals.
• Grow talent, coach team members and create promotion paths.
• Communicate with customers and collaborators to reduce ambiguity and mitigate risk.
• Enforce professional software engineering guidelines across the full lifecycle.
• Manage project deliverables, timelines, and progress.
• Build GenAI distributed, multi-tenant systems with clear stateful/stateful boundaries.

Conocimientos

Management experience

Engineering team leadership

System design & architecture

Multi-tier web services

Collaboration with product teams

Descripción del empleo

Description

Interested in building the distributed systems that let customers customize foundation models at scale? The SageMaker Training and Model Customization team builds the services customers use to fine-tune and post-train models against their own accuracy, reliability, and cost targets. We are looking for a Software Development Manager to lead the team that owns those capabilities.

Description

Interested in building the distributed systems that let customers customize foundation models at scale? The SageMaker Training and Model Customization team builds the services customers use to fine-tune and post-train models against their own accuracy, reliability, and cost targets. We are looking for a Software Development Manager to lead the team that owns those capabilities. Model customization is the fastest-moving layer of the machine learning stack. Post-training has gone from supervised fine-tuning to reinforcement learning against verifiable rewards, and from single-turn tasks to agentic training where a model learns by acting in an environment over long trajectories. Each shift changes the shape of the workload: reinforcement learning puts an inference engine inside the training loop, and agentic training adds environments and tool calls that move the bottleneck from run to run. Your team turns each new technique into a capability customers can use, without rebuilding the platform every time the research moves. Underneath, it stays a hard distributed systems problem across large accelerator fleets where a single node failure can halt progression.

Key job responsibilities

• Lead a team of highly skilled and driven individuals towards achieving critical business goals.
• Grow talent in the team, coach team members on growth areas and create a promotion paths for strong performers.
• Communicate clearly with our customers and collaborators to reduce ambiguity and mitigate risk.
• Enforce professional software engineering guidelines and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Manage and communicate project deliverables, timelines, and progress.
• Build GenAI based distributed, multi-tenet systems with clear state-full/state-less boundaries.

A day in the life

Technical Leadership

• Lead the design and development of Model customization capabilities on SageMaker Training.
• Own the technical vision for model customization infrastructure.
• Drive architectural decisions for scalable, resilient systems supporting foundation models

Team & People Management

• Build, mentor, and grow a world-class team of software engineers and manage their career
• Hire top engineering talent and develop team members' careers
• Foster a culture of innovation, operational excellence, and customer obsession

About The Team

We build the managed services customers use to customize foundation models. A customer brings a task, a dataset, and a definition of what a good answer is worth, and our services run the post-training loop on their behalf. We own that entire path, from the customer-facing API down to the training-session infrastructure.

Basic Qualifications

• 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
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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

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.

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
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, BELLEVUE - 184,900.00 - 250,200.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10568427