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Engineering Manager, Reliability Platform

1 hour, 55 minutes ago
United States
Full-time
Lead
Engineering Manager
Software Development
AWS Kafka Microservices
Apply Now
DoorDash

DoorDash

DoorDash empowers small business owners by providing an affordable and convenient platform for local delivery services, primarily focusing on restaurant food delivery.

Air Freight & Logistics
10K-50K
Founded 2012
View All Jobs 109

Description

  • Design, build, and operate services and infrastructure for the Reliability Platform team.
  • Develop tools and frameworks for service health, including SLO analytics and telemetry-based insights.
  • Build change orchestration systems that enable safe, self-service production changes.
  • Create and improve incident management tools, processes, and policies used by peer teams.
  • Work across backend services, orchestration workflows, self-service UI, and AI-enabled platform capabilities as needed.
  • Collaborate with Infrastructure and Product peers on mission-critical systems and integrations.
  • Deliver and maintain MCP-backed platform services and data access capabilities for other teams.
  • Contribute to automation and reduce operational toil through software and AI-assisted workflows.
  • Own team leadership responsibilities including hiring, performance management, coaching, and team rituals.
  • Manage global incident response, communications, reporting processes, and team budget planning.

Requirements

  • 5+ years leading teams of high-caliber engineers.
  • 5+ years of experience in infrastructure, platform, or backend engineering.
  • Experience delivering and maintaining complex systems as an individual contributor or through a team.
  • Ability to think in terms of products, platforms, and customers when designing systems.
  • Comfort influencing others through conversations, presentations, demonstrations, and policies.
  • Broad knowledge of AWS primitives, security best practices, containerization, and Infrastructure as Code.
  • Understanding of SLOs, error budgets, and incident response concepts.
  • Comfort using AI tools to improve engineering management and team productivity.
  • Interest in automation and agentic, AI-assisted operations.
  • Preferred experience with mission-critical back-end services, orchestration workflows, or self-service internal tools.

Benefits

  • Base salary range of $193,800 to $285,000 USD.
  • Opportunities for equity grants.
  • 401(k) plan with employer matching.
  • 16 weeks of paid parental leave.
  • Medical, dental, and vision insurance.
  • 11 paid holidays, paid time off, and paid sick leave.
  • Wellness benefits, including commuter benefits match and wellness expense reimbursement.
  • Disability and basic life insurance, plus family-forming assistance and a mental health program.

Interested in this position?

Apply directly on the company website

Apply Now

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