Senior Software Engineer - Data Platform

Job Description

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: 2+ years of experience of software development Proficient in at least one language while comfortable in more than one of the backend languages, preferably Java or Typescript, Ruby, GoLang, Python. Have experience working with at least one of the database technologies - MySQL, Redis, or PostgreSQL. Demonstrable knowledge of computer science fundamentals with strong API Design skills. Comfortable working on a geographically distributed extended team. Brings the right attitude to the team: ownership, accountability, attention to detail, and customer focus. Track record of delivering work incrementally to get feedback and iterating over solutions. Comfortable in React or similar front-end UI stacks; if not comfortable yet, you are willing to learn Nice to have Experience using a cloud-based distributed computing technologies such as 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 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