Senior Software Engineer, Cloud Data Platform @ Peopleplus

Job Description

Senior Software Engineer, Cloud Data Platform

Exp: 8-14 yrs

Location: Bangalore, India

Job role

• 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!

Skills & Exp:

• 8+ 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)
• Extensive experience with Big Data and distributed systems
• Ability to design large scale distributed systems
• Prior experience in building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive) on public cloud
• Excellent programming skills in Java and/or Scala
• Experience with stream processing using Spark or Flink
• 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
• Eager to learn new things and passionate about technology!
• Comfortable working with Kubernetes, AWS, Docker, and Terraform.

Good to have

• AWS (EMR, S3, Glue, Kinesis.)
• ELK
• Experience in building SaaS/PaaS on AWS/GCP/Azure.
• AI/ML

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