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