Staff Software Engineer, Data Platform (FedRamp) | Okta

Okta Inc

Actively hiring Verified listing
San Francisco, CA Posted 90 days ago $194,000–$267,000 / year
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99+ other roles within 25 mi Near San Francisco, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $230k
$128k most similar roles pay here $282k

This role pays more than 82% of similar roles. Most pay $170,000–$218,750 — the shaded band above. At the midpoint, this role pays about $230k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Okta Inc

Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[

Okta Inc currently has 145 open roles on FindRole.

Listed pay typically runs $194,000–$267,000 across 145 roles with salary data.

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At a glance

TL;DR

As a Senior Software Engineer joining the Data Platform team at Okta, you will play a pivotal role in designing and building foundational data services that enable high-volume, low-latency distributed systems. Day-to-day responsibilities include working closely with cross-functional teams to develop and optimize streaming infrastructure using technologies like Kinesis, Flink, ElasticSearch, and Snowflake. You’ll be involved in project design, implementation, and performance tuning while also mentoring junior engineers. The ideal candidate has 8+ years of experience in Java or another object-oriented language, along with hands-on expertise in cloud-based distributed computing technologies such as Kafka, Spark, and Kubernetes. A strong understanding of multithreading, garbage collection, and reliability engineering is essential for this role that aims to make Okta a leader in data-driven security solutions.

Skills

Kinesis Flink Snowflake Kafka Spark Java AWS CI/CD Docker Kubernetes Hadoop Mesos Python PostgreSQL ElasticSearch Prometheus Grafana

What you'll do

  • Design, implement, and own data-intensive, high-performance, scalable platform components.
  • Work with cross-functional teams to develop projects, design, and implementation of data platforms.
  • Conduct and participate in design reviews, code reviews, analysis, and performance tuning for systems.
  • Debug production issues across services and multiple levels of the stack.
  • Coach and mentor engineers to help scale up the engineering organization.

What we're looking for

  • 8+ years of experience in object-oriented programming, preferably Java
  • Hands-on experience with cloud-based distributed computing technologies like Kinesis, Kafka, Flink, Spark, Beam, Snowflake, and Hadoop
  • Expertise in developing and tuning highly scalable distributed systems
  • Strong understanding of software engineering principles, multithreading, garbage collection, and memory management
  • Experience in reliability engineering including data quality, observability, and incident management
  • Ability to coach and mentor engineers to scale the engineering organization

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