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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.

Job Duties and Responsibilities:

• 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

Required Knowledge, Skills, and Abilities:

• 8+ 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, 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 and incident management

Nice to have

• 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

#LI-Hybrid

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