Senior Engineering Manager, Data Streaming Services (Auth0)

Okta is a company focused on securing identities in the AI era. They are seeking a Senior Engineering Manager for Data Streaming Services to lead engineering teams in enhancing their streaming data backbone across a multi-cloud infrastructure, ensuring high performance and reliability in data streaming services.

Responsibilities:

• Lead a world-class team of teams
• Oversee data streaming infrastructure and services that power our global platform across AWS and Azure
• Own roadmap and execution
• Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap
• 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
• Lead an automation-first culture
• Reduce operational friction and ensure infrastructure is self-healing and code-defined
• Draw efficiency from AI-assisted development
• Act as a technical leader
• Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures

Requirements:

• Proven engineering leadership, building and leading teams of teams
• Experience coaching Staff+ engineers and engineering managers
• Strong technical and architectural acumen
• Background in building scalable, distributed systems
• Comfortable participating in and guiding technical discussions
• Strong project management skills
• Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies
• Collaborative leadership style, adapted to remote ways of working
• Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others
• 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