Eager to learn new things and passionate about technology!
Excellent programming skills in Java and SQL
Experience with relational databases and Redshift
Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms)
Deep understanding of Algorithms, Data Structures, and Performance Optimization Techniques
Experience with Big Data and distributed data systems
Working experience with Kubernetes, AWS, Docker, and Terraform.
Prior experience in building data platforms using Big Data stack (Redshift, Kafka, Spark, Flink, Hadoop) on public cloud is a plus.
What you would do
Design, develop and run cloud-native data platform and analytics SaaS services
Hands-on coding>
90% of the time
Design and build large scale real-time stream processing systems
Design, develop and run microservices and analytics SaaS solutions
Own Continuous Integration (CI) and Continuous Deployment (CD) for your services
Own scalability, availability, and data security for your services
Triage & resolve code defects
Maintain secure code and resolve app security findings
What you would need to succeed
2 to 4 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 Java and SQL
Working experience with Kafka
Understand microservices architecture patterns pattern like Service Discovery / API Gateway / Domain Driven Design
Experience with containers technology
Ability to work in an agile fast-paced environment
B. Tech or M. Tech degree (Computer Science or Math)