Description
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 organisations 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.
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
About the Position
This is an opportunity for experienced Software Engineers to join our fast-growing Data Platform organisation 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 organisation 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.
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 organisation
- 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