Staff Software Engineer, Data Platform (FedRAMP)

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. 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 function 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 Additional requirements This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. This role will require travel to one of our office locations for in-person onboarding. Salary and Benefits Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, 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: Annual base salary range: $194,000 - $267,000 USD Benefits you can look forward to as a Full-Time Okta employee Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Some roles may require travel to one of our office locations for in-person onboarding. 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, click here to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at #J-18808-Ljbffr Okta