Who you are

- 5+ years of industry experience

- 2+ years of experience in object-oriented language, preferably Java

- Hands-on experience using a cloud-based distributed computing technologies including

- Messaging systems such as Kinesis, Kafka

- Data processing systems like Flink, Spark, Beam

- Storage & Compute systems such as Snowflake, Databricks, Hadoop

- Coordinators and schedulers like the ones in 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 a

- 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

What the job involves

- This is an opportunity for experienced Software Reliability Engineers to join our rapid growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products
- In this role,



you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come

- As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML

- Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake

- We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure

- This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering

- You will have a sizable impact on the direction, design & implementation of the solutions to these problems

- 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

- Participate in the on-call rotation, and incident management

Benefits

- Work from home opportunities

- Health + Wellness

- Financial Benefits

- Pay + Incentives

- Time Off

- Everyday Living

- Resources

📌 Staff Software Reliability Engineer (Toronto)
🏢 Okta
📍 Toronto