Backend Developer

2 months ago


india Yeah! Global Full time
Job Description

As a Backend Engineer, you'll play a vital role in ensuring the reliable, secure, and expansive delivery of our platform. You'll contribute to crafting low-latency, real-time microservices designed to efficiently process and identify sensitive data at scale.

 

Responsibilities:

  • Constructing highly-available and secure authentication and API services.
  • Continuously enhancing mission-critical internal databases and services.
  • Fine-tuning and managing high-volume auto-scaling streaming data services.
  • Implementing monitoring solutions for streaming data services to track utilization per customer.
  • Creating and maintaining documentation for both internal and public services.

Requirements
  • 3+ years of hands-on experience in a similar environment
  • Proficiency in one or more systems/high-level programming languages (e.g., Python, Go, Java, C++) and a strong desire to expand your knowledge.
  • Experience operating scalable (thousands of RPS) and dependable (three 9’s) systems.
  • Proven experience in developing complex software systems capable of scaling to substantial data volumes or serving millions of users with production-quality deployment, monitoring, and reliability.
  • Familiarity with large-scale distributed storage and database systems (SQL or NoSQL, e.g., MySQL, Cassandra).
  • Ability to break down complex business problems and lead a team in resolving them.
  • Experience in data processing, including building and maintaining large-scale and/or real-time complex data processing pipelines using technologies like Kafka, Hadoop, Hive, Storm, or Zookeeper.

Requirements
3+ years of hands on experience in a similar environment Proficiency in one or more systems/high-level programming languages (e.g., Python, Go, Java, C++) and a strong desire to expand your knowledge. Experience operating scalable (thousands of RPS) and dependable (three 9’s) systems. Proven experience in developing complex software systems capable of scaling to substantial data volumes or serving millions of users with production-quality deployment, monitoring, and reliability. Familiarity with large-scale distributed storage and database systems (SQL or NoSQL, e.g., MySQL, Cassandra). Ability to break down complex business problems and lead a team in resolving them. Experience in data processing, including building and maintaining large-scale and/or real-time complex data processing pipelines using technologies like Kafka, Hadoop, Hive, Storm, or Zookeeper.

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