Senior Engineering Manager, Data Streaming Services (auth0)

Okta Okta · Enterprise · Chicago, IL +2 · SW Eng - Infrastructure-672

This role is for a Senior Engineering Manager to lead data streaming services for Auth0's platform. The focus is on building and managing resilient, high-performance streaming data infrastructure across a multi-cloud environment. While the role mentions AI-assisted development and securing AI, the core responsibilities are in data streaming infrastructure management and team leadership, not direct AI/ML model development or deployment.

What you'd actually do

  1. Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
  2. Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
  3. Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
  4. Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
  5. Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

Skills

Required

  • Proven engineering leadership, building and leading teams of teams.
  • Strong technical and architectural acumen.
  • Strong project management skills.
  • Collaborative leadership style, adapted to remote ways of working.

Nice to have

  • Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
  • Experience with databases such as PostgreSQL and MongoDB.
  • Experience with distributed streaming platforms like Kafka.
  • Familiarity with concepts in the IAM (Identity and Access Management) domain.
  • Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
  • Experience building reliable, high-availability platforms for enterprise SaaS applications.

What the JD emphasized

  • AI-assisted development