Description

Join Okta's Data Platform team to design and deploy scalable data-platform services, working with modern technologies like Kinesis and Snowflake.

Employment Type

full-time

Experience Level

Senior

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

Requirements

• 4+ 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
• 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
• 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 cloud-based distributed computing technologies such as Messaging systems like 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 environments
• Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop