A

Amazon

Sells products online and rents cloud computing

Senior Software Development Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 5 years of engineering team management experience.
  • Experience partnering with product or program management teams.
  • At least 12 years of engineering experience.
  • At least 12 years of experience planning, designing, developing, and delivering consumer software.
  • Experience managing multiple concurrent programs, projects, and development teams in an Agile environment.

Responsibilities

  • Own end-to-end forecasting and capacity assurance across Prime Video’s infrastructure footprint, supporting predictable growth and peak events.
  • Own multi-year and event-based capacity models translating business growth, content strategy, and traffic patterns into demand across compute, storage, network, and content delivery network infrastructure.
  • Lead capacity assurance for high-stakes live events by establishing headroom targets, load-testing regimes, and go/no-go readiness reviews with partner teams.
  • Build a data science- and telemetry-grounded forecasting practice that improves forecast accuracy, quantifies confidence intervals, and reduces over-provisioning waste and under-provisioning risk.
  • Partner with Amazon Web Services, Finance, and Prime Video service teams on demand-planning and capacity-management processes to secure capacity ahead of need at the right cost.
  • Define dashboards, reviews, and escalation paths that give leadership confidence in Prime Video’s scalability.
  • Drive measurable infrastructure efficiency across Prime Video’s core compute fleet and AI/machine-learning infrastructure while protecting reliability and performance.
  • Set the efficiency strategy and roadmap for core compute, including central processing unit fleets, containerized services, and memory/dynamic random-access memory footprint, as well as AI infrastructure, including graphics processing unit/accelerator fleets and training and inference platforms.
  • Reduce infrastructure cost-to-serve and improve utilization through right-sizing, fleet consolidation, hardware refresh strategy, and adoption of more efficient compute and runtimes.
  • Optimize AI/machine-learning workload efficiency, including graphics processing unit utilization, training throughput, and inference cost per request, partnering with science and platform teams to eliminate waste.
  • Establish efficiency goals and metrics for utilization, cost per stream/request, memory footprint, and energy footprint, and instrument the fleet so gains are visible, attributable, and durable.
  • Lead zero-based capacity and efficiency reviews and represent Prime Video in senior compute-allocation and cost-optimization forums.
  • Own privacy as an engineering discipline for Prime Video infrastructure, ensuring customer data handling complies with Amazon’s privacy commitments and global regulatory obligations by design and by default.
  • Own the privacy engineering roadmap for infrastructure data handling, minimization, retention, access controls, and auditability across services and fleets.
  • Embed privacy-by-design into capacity, compute, and AI infrastructure decisions, ensuring new systems and AI/machine-learning workloads meet privacy requirements before launch.
  • Partner with Legal, Security, and central Privacy teams to translate regulatory requirements, including the General Data Protection Regulation and regional privacy laws, into engineering controls and mechanisms.
  • Build tooling, reviews, and metrics to detect, prevent, and remediate privacy risks and make privacy posture measurable and continuously improving.
  • Promote privacy ownership across the team and raise the standard for building and operating trusted infrastructure.
  • Lead a team of managers and senior engineers and partner with Prime Video service teams, Amazon Web Services, Finance, Legal, Security, and central Privacy.
  • Set multi-year technical strategy, develop high-performing teams, influence partner organizations, and represent Prime Video’s infrastructure posture to senior leadership.

Desired Qualifications

  • Experience partnering with product and program management teams.
  • Experience designing and developing large-scale, high-traffic applications.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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