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. 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.