Senior Software Reliability Engineer - Data Platform

Location: Hybrid in Toronto, Ontario, Canada

Annual base salary: CAD 136,000–187,000

Company

Okta builds identity and security infrastructure that helps organizations securely use cloud, data, and artificial intelligence technologies.

What you will do

• Design, implement, and own high-performance, scalable components for data-intensive platforms.
• Build, deploy, and optimize streaming infrastructure supporting analytics and machine learning.
• Collaborate with engineers, architects, and cross-functional partners on system design and implementation.
• Participate in design reviews, code reviews, performance analysis, and tuning.
• Debug production issues across services and technology layers, and participate in on-call and incident management.
• Coach and mentor engineers while contributing to the growth of the engineering organization.

Requirements

• 3+ years of industry experience, including 2+ years working with an object-oriented programming language, preferably Java.
• Hands-on experience with cloud-based distributed computing technologies, including messaging, data processing, storage, compute, coordination, and scheduling systems.
• Experience with Kinesis or Kafka; Flink, Spark, or Beam; Snowflake, Databricks, or Hadoop; and Kubernetes, Hadoop, or Mesos-based coordination and scheduling.
• Experience developing and tuning highly scalable distributed systems.
• Strong understanding of software engineering principles, multithreading, garbage collection, and memory management.
• Reliability engineering experience in data quality, data observability, and incident management.

Nice to have

• Experience with security, encryption, identity management, or authentication infrastructure.
• Experience building mission-critical, high-volume services with major public cloud providers.
• Experience developing large-scale data integration applications for petabyte-scale batch and online systems.
• Experience with high-volume or business-critical distributed systems such as Kafka or Hadoop.
• Experience developing Kubernetes-based services on AWS.

Culture & Benefits

• Ownership of foundational data services and products with opportunities to influence system direction and implementation.
• Health, dental, and vision insurance, RRSP matching, healthcare spending, and telemedicine.
• Paid leave, including paid time off and parental leave, according to applicable plans and policies.
• Equity and bonus opportunities where applicable.
• In-person onboarding and collaboration within a global community.