Is the Staff Software Engineer, Data Platform role remote?

It's hybrid — Okta expects some on-site time in Bengaluru, India.

How much experience is required?

At least 8 years of relevant experience for this Staff Software Engineer, Data Platform role.

Where is the role based?

Okta is hiring for this position in Bengaluru, India.

What's the tech stack?

Joblaze extracted these technologies from the posting: Beam, Snowflake, Spark, Java, Hadoop, Kinesis.

What seniority level is this role?

Okta targets staff-level candidates for this position.

Is this full-time or contract?

Full-time for this Staff Software Engineer, Data Platform role at Okta.

Staff Software Engineer, Data Platform at Okta

Joblaze summary

In the role of Staff Software Engineer for the Data Platform at Okta, the individual will focus on designing and implementing high-performance, scalable data services that support analytics and machine learning initiatives. Proficiency in object-oriented programming, particularly Java, along with experience in cloud-based distributed systems like Kinesis and Snowflake, is essential. This position is ideal for seasoned engineers with a strong background in building and optimizing complex data infrastructures. The team is characterized by its fast-paced, innovative environment, emphasizing ownership and collaboration.

Joblaze insights

Listed today on Joblaze — tracked directly from Okta's career page.
Okta has 405 other open roles including Sr Deal Operations Support, Customer Success Manager, Principal Identity Engineer.
1105 active Kubernetes roles on Joblaze right now.
835 active Java roles on Joblaze right now.
241 active Kafka roles on Joblaze right now.
Typical Kubernetes salary we track runs $125,000–$196,000 (median $160,000, across 615 roles).

Quick facts

Is the Staff Software Engineer, Data Platform role remote?: It's hybrid — Okta expects some on-site time in Bengaluru, India.
How much experience is required?: At least 8 years of relevant experience for this Staff Software Engineer, Data Platform role.
Where is the role based?: Okta is hiring for this position in Bengaluru, India.
What's the tech stack?: Joblaze extracted these technologies from the posting: Beam, Snowflake, Spark, Java, Hadoop, Kinesis.
What seniority level is this role?: Okta targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Software Engineer, Data Platform role at Okta.

From the original posting

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 Okta

Okta is an enterprise grade identity management service, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta you can manage access across any application, person, or device. Whether the people are employees, partners, or customers, or the applications are in the cloud, on premises, or on a mobile device, Okta helps you become more secure, make people more productive, and maintain compliance.

The Okta service provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems.

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

#LI-Hybrid

#P22344

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.