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Staff Software Engineer, Data Platform (FedRamp)

Okta · San Francisco, California · Posted Jul 6, 2026

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Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

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. Okta is about to change the cloud computing landscape forever.

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. 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

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. 22 CFR 120.15) upon hire.

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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more abou…

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