Job Description

Design, develop and run cloud-native data platform and analytics SaaS services

Own architecture and provide technical leadership to multiple teams

Hands-on coding >60% of the time

Design and build large scale real-time stream processing systems

Design, develop and run micro-services and analytics SaaS solutions

Own Continuous Integration (CI) and Continuous Deployment (CD) for your services

Own scalability, availability, and data security for your services

Own, tackle & resolve code defects

Mentor junior developers in standards and best practices!

What you would need to succeed

10+ years of required work experience

Prior experience and passion for building large scale multi-tenant cloud-native data platform

Emphasize team wins over individual success

Strong technical interpersonal skills

Excellent software development skills in one or more of the following languages: Java/Scala

Extensive experience with Big Data and distributed systems.

Expertise in Spark or Flink, Kafka, and Hadoop ecosystem

Ability to design large scale distributed systems

Have developed in more than one language and ready to pivot to any language/framework

Understand microservices architecture patterns pattern like Service Discovery/API Gateway/Domain Driven Design etc

Experience with containers technology

Ability to work in an agile fast-paced environment

BS or MS degree (Computer Science or Math)

Bonus

AWS (EMR, S3, Glue, Kinesis..)

ELK

Experience in building SaaS/PaaS on AWS/GCP/Azure.

AI/ML