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Okta

Staff Software Engineer, Data Platform

Toronto, ON, Canada

Pay: $160,000 to $220,000 CAD / year
Job type: Full-time
Apply by: Oct 29, 2026
Experience: 8+ years of experience in object-oriented language, preferably Java
Posting language: English
Posted: Sep 29, 2026

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Original job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

Streaming analytics
Interactive end-user reporting
Data and ML platform for Okta to scale
Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.

About the Position

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. In this role, 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. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:

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

Required Knowledge, Skills, and Abilities:

8+ years of experience in object-oriented language, preferably Java
Hands-on experience using a cloud-based distributed computing technologies including

Messaging systems such as Kinesis, Kafka
Data processing systems like Flink, Spark, Beam
Storage & Compute systems such as Snowflake, Hadoop
Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos

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

Nice to have

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

#P25836_3565302

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:: $160,000 CAD - $220,000 CAD

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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More about this job

Responsibilities

Design, build, deploy, and optimize high-performance, scalable data platform components and streaming infrastructure that power analytics and machine learning. Collaborate across engineering on architecture and implementation, participate in design and code reviews, tune performance, mentor engineers, and debug production issues.

Requirements

Requires 8+ years of object-oriented software engineering experience, preferably with Java, and hands-on experience with cloud-based distributed computing technologies such as messaging, data processing, storage, and scheduling systems. Candidates should have experience building and tuning scalable distributed systems, strong software engineering fundamentals, knowledge of multithreading and memory management, and reliability engineering experience in data quality, observability, and incident management.

Skills

Java
Distributed Systems
Streaming Infrastructure
Kinesis
Kafka
Flink
Spark
Beam
Snowflake
Hadoop
Kubernetes
Scalable Systems
Performance Tuning
Multithreading
Memory Management
Reliability Engineering

Benefits

Equity
Bonus
Health Insurance
Dental Insurance
Vision Insurance
RRSP With Employer Match
Healthcare Spending Account
Telemedicine
Paid Time Off
Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
Data Products
Streaming Analytics
End-User Reporting
Machine Learning
Java
Kinesis
Kafka
Flink
Spark
Beam
Elasticsearch
Snowflake
Hadoop
Kubernetes
Mesos
Distributed Computing
Distributed Systems
Streaming Infrastructure
Batch Processing
Online Systems
Data Integration
Data Quality
Data Observability
Incident Management
Reliability Engineering
Performance Tuning
Multithreading
Garbage Collection
Memory Management

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