Level

Okta

Staff Software Engineer, Data Platform

AI in this role

Design and scale foundational data services and streaming analytics infrastructure supporting Okta's identity and security products.

kinesisflinkelasticsearchsnowflake
distributed-systemsdata-platformsstreaming-analyticsscalajava

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

 

#P25836_3565302

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:$160,000—$220,000 CAD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

How we rate this

Staff Software Engineer, Data Platform at Okta rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Distributed SystemsData PlatformsStreaming AnalyticsScalaJavaKinesisFlinkElasticsearch

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where data platforms was part of your work. What did you do?
  3. Tell me about a project where streaming analytics was part of your work. What did you do?
  4. Tell me about a project where scala was part of your work. What did you do?
  5. Tell me about a project where java was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Data Platforms, Streaming Analytics, Scala, and Java. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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