Staff Data Platform Reliability Engineer

Triwill Group; Toronto; Hybrid; CAD 160,000 - 220,000; Full time

Benefits offered by this job

Equity

Health, dental and vision insurance

RRSP with match

Paid leave

Hybrid work model

Job summary

Okta is seeking a Staff Software Reliability Engineer for the Data Platform to design and own scalable data-intensive services powering analytics and ML. You will collaborate with engineers across the organization to build foundational infrastructure that scales for years, working on technologies like Kinesis, Flink, ElasticSearch, and Snowflake.

The role emphasizes reliability engineering, data quality, observability, incident management, and mentoring teams while contributing to high-volume,

Qualifications

• 5+ years of industry experience.
• 2+ years of experience in an object-oriented language, preferably Java.
• Hands-on experience with cloud-based distributed computing technologies (Kinesis, Kafka).
• Experience developing and tuning highly scalable distributed systems.
• Strong understanding of software engineering principles.
• Knowledge of multithreading, garbage collection and memory management.
• Experience with reliability engineering in data quality, observability and incident management.

Responsibilities

• Design, implement and own data-intensive, high-performance, scalable platform components.
• Work with engineering teams, architects and cross functional partners on 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.
• Participate in the on-call rotation, and incident management.

Skills

Java

Distributed systems

Multithreading

Incident management

Data quality

Data 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 services powering analytics and ML. You will collaborate with engineers across the organization to build foundational infrastructure that scales for years, working on technologies like Kinesis, Flink, ElasticSearch, and Snowflake.

The role emphasizes reliability engineering, data quality, observability, incident management, and mentoring teams while contributing to high-volume,