# Staff Software Engineer, Data Platform

**Company:** [Okta](https://hotfix.jobs/companies/okta)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Salary:** $194k – $267k/yr
**Experience:** 8+ years
**Skills:** Java, Kinesis, Kafka, Flink, Spark, Beam, Snowflake, Hadoop, Kubernetes, AWS
**Posted:** 2026-07-06

> Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.

## Job Description

## 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

## Requirements
- 8+ years of experience in object-oriented language, preferably Java
- Hands-on experience using 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
- Ability to access federal environments and/or have access to protected federal data (U.S. Person status required)

## Nice-to-Haves
- 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

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**Apply:** https://hotfix.jobs/jobs/bfac29b4-042b-421b-ab7d-d9b1b65d5c76
**Canonical:** https://hotfix.jobs/jobs/bfac29b4-042b-421b-ab7d-d9b1b65d5c76