Staff Software Engineer, Data Platform (FedRamp)
About the Team
The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:
- Streaming analytics
- Interactive end-user reporting
- Data and ML platform for Okta to scale
- Telemetry of our products and data
Our elite team is fast, creative, and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company.
About the Position
This is an opportunity for experienced Software 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.
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 like Snowflake, Hadoop Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos
- Excellent grasp of software engineering principles Solid understanding of multithreading, garbage collection and memory management
- Experience in developing and tuning highly scalable distributed systems
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
Additional Requirements
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee).
Pay and Benefits
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000 USD - $267,000 USD
To learn more about our Total Rewards program please visit: https://rewards.okta.com/us