Data Engineer

A highly successful, well-funded, and stable technology startup that develops world-class, enterprise-grade infrastructure security and remote management platforms.

The company's innovative technology enables global organizations to securely manage, monitor, and optimize remote endpoint devices from anywhere in the world.

Widely recognized as a global leader in its space, the venture has raised hundreds of millions of dollars in venture funding and supports a global workforce of several hundred professionals.

Located in the Central District, within short walking distance of the train station, the company offers a flexible hybrid work environment with two days of remote work per week.

Position Overview-

• Senior Big Data / Java Engineer joining a core engineering squad to design, scale, and maintain high-throughput distributed systems and data streaming pipelines.
• Architecting and developing low-latency microservices and real-time streaming workflows to process massive streams of global device telemetry and infrastructure metadata.
• Integrating AI-first development tools and modern software engineering practices to maximize platform reliability, performance, and security.
• Building and operating cloud-native infrastructure, optimizing large-scale storage, processing, and query performance.
• Core Stack & Ecosystem- Java, Scala, Big Data Ecosystems, Kafka / Kafka Streams, Flink, Apache Spark, Apache Beam, Cloud-Native Microservices, and Real-Time Streaming Frameworks.

Requirements-

• 5 years of proven, hands-on software engineering experience deeply focused on building and optimizing Big Data ecosystems – Mandatory
• Extensive, production-proven development experience using Java – Mandatory
• Direct experience developing with event-driven architectures and real-time streaming frameworks, such as Kafka, Kafka Streams, Flink, Spark, or Apache Beam – Mandatory
• Solid technical proficiency in designing and deploying scalable services within major cloud environments (AWS, GCP, or Azure) – Mandatory
• Foundational exposure to or an interest in working with Scala – Advantage