Staff Software Engineer, Data Platform

Toronto · CAD 160,000-220,000 / year · 8+ years experience · Posted Sep 28, 2026

At a glance

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products.
You will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come.
As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML.

Design, implement and own data-intensive, high-performance, scalable platform components
Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
Conduct and participate in design reviews, code reviews, analysis, and performance tuning
Coach and mentor engineers to help scale up the engineering organization
Debug production issues across services and multiple levels of the stack

8+ years of experience in object-oriented language, preferably Java
Hands-on experience using a cloud-based distributed computing technologies including messaging systems, data processing systems, storage and compute systems, and coordinators and schedulers
Experience in developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection and memory management
Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Maintained security, encryption, identity management, or authentication infrastructure
Leveraged major public cloud providers to build mission-critical, high volume services
Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
Experience developing Kubernetes based services on AWS Stack