Senior Data Platform Reliability Engineer

Design scalable data infrastructure in Toronto with Okta, using distributed systems and streaming technologies to support analytics and machine learning.

As a Senior Software Reliability Engineer, you will build foundational services within Okta’s Data Platform organization. The position focuses on high-volume, low-latency distributed data-platform services and products. You will design, deploy, optimize, and own streaming infrastructure using technologies including Kinesis, Flink, Elasticsearch, and Snowflake.

Key Responsibilities:

• Design scalable, high-performance data platform components
• Collaborate with engineers, architects, and cross-functional partners
• Conduct design reviews, code reviews, and performance tuning
• Coach and mentor engineers across the organization
• Debug production issues and participate in incident management

Requirements:

• Three or more years of industry experience
• Two or more years using object-oriented languages, preferably Java
• Experience with Kinesis, Kafka, Flink, Spark, Beam, or Snowflake
• Understanding of multithreading, garbage collection, and memory management
• Experience with data quality, observability, and incident management

Apply your reliability engineering expertise to Okta’s data platform, streaming infrastructure, distributed systems, and machine learning foundation.