H
Not Specified Permanent

San Francisco, California · USA job

Senior Manager, Product Software Engineering - Foundations Engineering

Hulu

San Francisco, California

Job description

Overview

You will lead Foundations Engineering within Ad Platforms, driving reliable, scalable platform delivery and operational discipline. You'll oversee platform engineering, DevOps, cloud infrastructure, SRE, observability, and data/AI platform support to enable fast, safe software delivery. Collaborating with centralized platform teams, you'll raise reliability, developer experience, and efficiency at scale. This role offers impact across Disney's media tech stack, shaping the foundational capabilities powering our services.

Compensation / Benefits
  • bonus and/or long-term incentive units
  • medical benefits
  • financial benefits
  • remote or hybrid work options
  • career growth opportunities
Responsibilities
  • Lead platform engineering and DevOps capabilities powering software delivery across Ad Platforms, including CI/CD, Kubernetes, IaC, deployment automation, and cross-cloud integrations
  • Drive automation-first practices, self-service tooling, and stable golden-path patterns to accelerate velocity and reduce toil
  • Own operational layer for workloads on shared infrastructure, collaborating with centralized Platform Engineering
  • Enforce secure-by-default standards across environments and delivery pipelines, including secrets management, governance, and compliance
  • Create internal tooling and interfaces to support deployment, runtime management, and engineering productivity
  • Establish and operate reliability practices (SLOs/SLIs, incident management, production readiness) for foundations services
  • Lead observability efforts (logging, tracing, monitoring) and ensure consistent visibility into system health
  • Manage database operations and data infrastructure across relational and cloud-native systems for transactional, analytics, and BI workloads
  • Support AI agentic and real-time ML platforms (inference runtimes, GPU orchestration, governance)
  • Execute FinOps and cost-management for multi-cloud infra and AI workloads
  • Drive postmortems, operational reviews, and continuous improvement of delivery quality and platform health
  • Lead and develop engineers and technical leads, shaping delivery culture and performance management
  • Plan quarterly work and coordinate with AI, Product, Security, Data, and central Platform teams
Key requirements
  • 10+ years of software engineering experience with depth in platform engineering, cloud infra, DevOps, or related foundations
  • Proven people management experience leading engineering teams in platform or infrastructure organizations
  • Strong cloud infra and platform engineering expertise: AWS required with hands-on depth; Azure and GCP valued; Kubernetes, IaC, and production-scale CI/CD
  • Reliability engineering experience: SRE, SLO/SLI design, incident management, production readiness
  • Database engineering and operational data infra experience across relational and cloud-native databases
  • Familiarity with AI infra and ML platform ops: inference runtimes, GPU orchestration
  • FinOps and cost management discipline for cloud spend and capacity efficiency
  • Strong cross-team collaboration and communication with stakeholders across AI, Product, Security, Data, and Finance
  • Preferred: experience in online advertising tech, internal developer platforms, Databricks/Snowflake/Kafka, AI/ML runtime infra, real-time streaming systems
  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • cross-team collaboration
  • strong communication
  • leadership and people management
  • AWS (required)
  • Azure (preferred)
  • GCP (preferred)

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