Staff Data Platform Reliability Engineer

Okta; Toronto (OH); Hybrid; USD 114,000 - 156,000; Full time

Benefits offered by this job

Equity

Bonus

Health, dental, vision insurance

RRSP with match

Healthcare spending account

Paid leave

Job summary

Okta is seeking a Staff Software Reliability Engineer for the Data Platform to design and own scalable, data-intensive infrastructure that powers analytics and ML workloads. You will work across teams to ensure low-latency, high-throughput services with robust observability and reliability practices.

The role emphasizes ownership, mentorship and collaboration, using technologies such as Kinesis, Flink, Snowflake and Kubernetes to scale Okta's data platform securely and efficiently.

Qualifications

• 5+ years of industry experience in software reliability or similar roles.

Responsibilities

• Design, implement and own data-intensive, high-performance platform components.
• Collaborate with engineering teams, architects and cross-functional partners on project design and implementation.
• Conduct design and code reviews, performance tuning, and incident analysis.
• Coach and mentor engineers to scale the organization.
• Debug production issues across services and stack levels.
• Participate in on-call rotations and incident management.

Skills

5+ years experience

Java

Distributed systems

Data platforms

Multithreading

Incident management

Observability

Tools

Kinesis

Kafka

Flink

Spark

Beam

Snowflake

Databricks

Hadoop

Kubernetes

Mesos

Job description

Okta is seeking a Staff Software Reliability Engineer for the Data Platform to design and own scalable, data-intensive infrastructure that powers analytics and ML workloads. You will work across teams to ensure low-latency, high-throughput services with robust observability and reliability practices.

The role emphasizes ownership, mentorship and collaboration, using technologies such as Kinesis, Flink, Snowflake and Kubernetes to scale Okta's data platform securely and efficiently.