Data Infra Senior Engineer

Zafran is looking for an experienced Data Infra Engineer to join our growing team. As a Data Infra Engineer, you will play a critical role in setting up, optimizing, and maintaining our data & analytics infrastructure. You will work closely with the development and Security teams to ensure the reliability, scalability, redundancy, and security of our data infrastructure platform. The ideal candidate is passionate about big data, loves working with cutting-edge technologies, and thrives in a collaborative environment.   About Zafran: Our Mission: To stop the exploitation of vulnerabilities, everywhere. What makes us different: Zafran de-risks 90% of critical vulnerabilities overnight across your hybrid environment and utilizes Agentic Capabilities and your existing security tools to rapidly mitigate and remediate the 10% most likely to be exploited. Who’s behind us: Zafran is backed by Menlo Ventures, Sequoia Capital, Cyberstarts, and a deep belief that cybersecurity should move as fast as attackers do. We’re one of the fastest-growing companies in the industry, scaling to meet demand from the world’s most advanced, security-obsessed organizations. We’re serious about our mission- so expect work that matters, teammates who challenge and inspire you, and plenty of fun along the way! What you will do: - Design, implement, and manage scalable, highly available databases for both transactional, real-time use as well as backend analytics and big data. - Build, design, and maintain data processing pipeline infrastructure used by our various applications - Develop and maintain CI/CD processes for automating seamless changes to data infrastructure, including data migrations and database upgrades - Work closely with developers to make sure our data infrastructure meets existing and new feature requirements - Work alongside our Security Team to ensure our infrastructure meets rigorous security standards - Ensure the data infrastructure processes adhere to best practices in security and compliance.   Requirements: - 5+ years of experience as a Data Infrastructure Engineer or in a related role (Such as DevOps with expertise in data). - Proficiency with various database systems, including: Postgres, Elasticsearch, ClickHouse, and Neo4j. - Proficiency working with Kafka. - Hands-on experience with managing databases in a self-hosted environment, preferably on Kubernetes. - Proven experience with cloud environments such as AWS, Google Cloud, or Azure. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Experience with Infrastructure as Code tools like Terraform and CloudFormation. - Hands-on experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, and Datadog. - Excellent problem-solving and troubleshooting skills. - Experience with disaster recovery planning and high-availability architectures - Professional certifications showing deep knowledge in Elasticsearch, ClickHouse, and relational databases are a plus.