Staff /Sr Staff/ Principal Engineer - Lakehouse

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. 

- 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.

You Are : 

- Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution

- Product-focused and passionate about building truly usable systems

- Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps

- Responsible and like to take ownership of challenging problems

- A good communicator, and facilitate teamwork via good documentation practices

- Comfortable with ambiguity and thrive in designing algorithms for evolving needs

- Intuitive in using the right type of models to address different product needs

- Curious about the world and your profession, constant learner

- 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.

- 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.