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About the Role
Okta is building the trusted, neutral infrastructure to enable organizations to safely embrace AI. This role offers an opportunity to do career-defining work on foundational data services, systems, and data products that benefit Okta's users, focusing on scaling high-volume, low-latency, distributed data-platform services and data products.
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
Requirements
- 8+ years of experience in an object-oriented language, preferably Java
- Hands-on experience using cloud-based distributed computing technologies including messaging systems (Kinesis, Kafka), data processing systems (Flink, Spark, Beam), storage & compute systems (Snowflake, Hadoop), and coordinators/schedulers (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
- 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
Skills
- Java
- Kinesis
- Kafka
- Flink
- Spark
- Beam
- Snowflake
- Hadoop
- Kubernetes
- Mesos
- Object-oriented programming
- Cloud computing
- Distributed systems
- Software engineering principles
- Multithreading
- Garbage collection
- Memory management
- Reliability engineering
- Data quality
- Data observability
- Incident management
- Security infrastructure
- Encryption infrastructure
- Identity management
- Authentication infrastructure
- Public cloud providers
- Data Integration
- Batch systems
- Online systems
- AWS Stack
Location
- Canada
Work Type
- Full-time
Experience Level
- Experienced Software Engineers
- 8+ years of experience
Salary/Compensations
- $160,000—$220,000 CAD
Benefits
- Equity
- Bonus
- Health insurance
- Dental insurance
- Vision insurance
- RRSP with a match
- Healthcare spending
- Telemedicine
- Paid leave (including PTO and parental leave)
About the Company
- 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.
- The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users.
- Okta is about to change the cloud computing landscape forever.
- 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.
Equal Opportunity
- 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.