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Added 38 mins ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 52 mins ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Full-time
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 52 mins ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
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…
Added 53 mins ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
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…
Added 1 hour ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 2 hours ago
Senior Infrastructure Engineer
Upstart
Canada
The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The…
Added 4 hours ago
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
Full-time · Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 5 hours ago
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. Within Workforce Solutions, our Human Capital Management charter builds…
Added 5 hours ago
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. Within Workforce Solutions, our Human Capital Management charter builds…
Added 5 hours ago
Security Engineer
Signal 1
Toronto, ON
Full-time
Support end-to-end security architecture across all domains (IAM, infrastructure security, application security, cyber defense, and data security), ensuring controls are consistent,…
Added 6 hours ago
AI Platform Engineer
Volgo Technologies
Toronto, ON
Contract
We are looking for a highly skilled AI Platform Engineer with strong GCP and DevOps expertise to design, build, deploy, and maintain scalable cloud platforms supporting AI/ML and fraud…
Added 7 hours ago
Principal AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 8 hours ago
Lead ML Platform Engineer
Royal Bank of Canada
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 9 hours ago
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 12 hours ago
AI Engineer
GEI Consultants, Inc.
Guelph, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 18 hours ago
AI Engineer Intern
Electronic Arts (EA)
Vancouver, BC
Temporary
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 18 hours ago
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
Full-time
…DCE combines deep enterprise data warehouse and modern data platform expertise with consulting acumen, architecture leadership, commercial awareness, and executive presence. The successful…
Added 23 hours ago
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and…
Added 1 day ago
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
$118,300 to $168,300 CAD / year
…company's games - Central Technology! As a Principal Software Engineer, you will be responsible for the technical vision, design and implementation of AI-powered tools and systems that…
Added 1 day ago
Machine Learning Engineer - Multiple Positions
SurveyMonkey
Ottawa, ON
Full-time
SurveyMonkey's Machine Learning organization spans two connected tracks: the Machine Learning Platform (MLP) team, which builds the secure, scalable pipelines and infrastructure that deploy…
Added 1 day ago
Lead ML Platform Engineer
RBC
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 1 day ago
Senior Software Engineer – Agent Systems
Kraken
Canada
Full-time
…building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial…
Added 1 day ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 1 day ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
Every video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design,…
Added 1 day ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…

Okta

Staff Software Engineer, Data Platform

Toronto, ON, Canada

Pay: $160,000 - $220,000 CAD
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 - $220,000 CAD

The Okta Experience

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, implement, and own high-performance, scalable data platform components while collaborating with cross-functional teams. Mentor engineers and debug complex production issues across the stack to ensure system reliability.

Requirements

Requires 8+ years of experience in object-oriented programming, specifically Java, and hands-on experience with cloud-based distributed computing technologies. Candidates must have a strong grasp of software engineering principles, multithreading, and reliability engineering.

Skills

Java
Distributed systems
Kinesis
Kafka
Flink
Spark
Beam
Snowflake
Hadoop
Kubernetes
Data platform
Reliability engineering
Multithreading
Memory management
Data observability
Performance tuning

Benefits

Health insurance
Dental insurance
Vision insurance
RRSP with match
Healthcare spending account
Telemedicine
Paid leave
PTO
Parental leave
Equity
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Data Platform
Java
Distributed Systems
Kinesis
Kafka
Flink
Spark
Beam
Snowflake
Hadoop
Kubernetes
Mesos
ElasticSearch
Cloud Computing
Reliability Engineering
Data Quality
Data Observability
Incident Management
Multithreading
Garbage Collection
Memory Management
Machine Learning
Streaming Infrastructure
API
Identity Management
Authentication
Encryption
AWS
Scalability

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