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Staff /Sr Staff/ Principal Engineer - Lakehouse

India, Bangalore · Job Posted December 23, 2025
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Job Description

Balbix is the world's leading platform for cybersecurity posture automation. Using Balbix, organizations can discover, prioritize and mitigate unseen risks and vulnerabilities at high velocity. With seamless data collection and petabyte-scale analysis capabilities, Balbix is deployed and operational within hours, and helps to decrease breach risk immediately.

Job Responsibility

  • Collaborate with product managers, data scientists, and other stakeholders to understand requirements and translate them into technical solutions
  • Design, develop, and deploy high scale systems using state of the art technologies
  • Build reliable, consistent and high throughput data services and interfaces
  • Mentor junior developers and contribute to knowledge sharing within the team
  • Help define and ensure the best practices and guidelines across the systems
  • Optimize and tune applications for performance and scalability
  • Troubleshoot and resolve issues in production environments

Requirements

  • 8+ years of experience in backend software development dealing with large scale applications involving large scale data
  • Proven experience in defining and improving application design and architecture
  • Drive to discover and learn the required new technologies
  • Exposure to state of the art technologies for large scale data systems
  • Proficiency in programming languages such as Python, Scala or Java
  • Hands-on experience with large scale technologies such as Apache Spark, Apache Flink, Cassandra
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills

Nice to have

  • In depth knowledge of technologies like Apache Spark, Kafka, Trino, Scala
  • Proven experience with technical ownership of large scale data systems
  • Prior experience with building large systems from scratch
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • In depth knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Relevant contributions to open-source projects related to large scale systems

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