Staff Software Engineer, Data Platform (FedRAMP)

Okta’s Data Platform team is hiring a Staff Software Engineer to build and optimize streaming infrastructure for high volume, low-latency distributed data-platform services and data products.

Responsibilities

• Design, implement, and own data-intensive, high-performance, scalable platform components
• Partner with engineering teams, architects, and cross-functional stakeholders on project design and implementation
• Participate in design reviews, code reviews, analysis, and performance tuning
• Coach and mentor engineers to help the organization scale
• Debug production issues across services and multiple layers of the stack

Requirements

• 8+ years of experience in an object-oriented language, preferably Java
• Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
• Hands-on experience with cloud-based distributed computing technologies such as Flink, Spark, and Beam
• Hands-on experience with storage and compute systems such as Snowflake and Hadoop
• Hands-on experience with coordinators and schedulers such as those in Kubernetes, Hadoop, and Mesos
• Experience 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, including data quality, data observability, and incident management
• Ability to access federal environments and/or protected federal data, including submitting documentation establishing U.S. Person status upon hire (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15)

Technologies

• Java
• Kinesis, Kafka
• Flink, Spark, Beam
• Snowflake, Hadoop
• Kubernetes, Mesos
• ElasticSearch

About the Team

• The Data Platform team delivers foundational data services, systems, and data products for Okta
• Current focus areas include streaming analytics, interactive end-user reporting, data and ML platform capabilities for scaling, and telemetry of products and data
• Culture emphasizes ownership, speed, creativity, and flexibility

About the Position

• Join Okta’s Data Platform organization to help scale high volume, low-latency distributed data-platform services and data products
• Build foundational infrastructure that supports Okta’s long-term scale needs
• Design, build, and deploy systems powering data analytics and ML
• Work within an analytics infrastructure stack that includes Kinesis, Flink, ElasticSearch, and Snowflake
• Own and optimize streaming infrastructure across design, deployment, and performance
• Engineering leadership directive: make Okta a leader in using data and machine learning to improve end-user security and expand that capability across engineering

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 developing Data Integration applications for large scale environments (petabyte scale), with batch and online systems
• Contributed to distributed systems and/or used systems at high volume or criticality such as Kafka or Hadoop
• Experience developing Kubernetes-based services on AWS Stack

Location

• San Francisco, CA (hybrid)

Compensation

• USD 194,000 - 267,000 per year

Additional Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community