Senior Software Reliability Engineer (Data Platform)

• This is an opportunity for experienced Software Reliability Engineers to join our fast 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

• Hands-on experience using a cloud-based distributed computing technologies including
• Solid understanding of multithreading, garbage collection and memory management
• Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos
• Excellent grasp of software engineering principles
• 2+ years of experience in object-oriented language, preferably Java
• 5+ years of industry experience
• Storage & Compute systems such as Snowflake, Databricks, Hadoop
• Messaging systems such as Kinesis, Kafka
• Experience in developing and tuning highly scalable distributed systems
• Data processing systems like Flink, Spark, Beam
• 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
• Experience with reliability engineering specifically in areas such as data quality, data observability and incident management