At SAFE Security our mission is bold and ambitious We Will Build CyberAGI a super-specialized system of intelligence that autonomously predicts detects and remediates threats This isn t just a vision it s the future we re building every day with the best minds in AI cybersecurity and risk At SAFE we empower individuals and teams with the freedom and responsibility to align their goals ensuring we all move towards this goal together We operate with radical transparency autonomy and accountability there s no room for brilliant jerks We embrace a culture-first approach offering an unlimited vacation policy a high-trust work setting and a commitment to continuous learning For us Culture is Our Strategy check out our Culture Memo to dive deeper into what makes SAFE unique We re looking for a seasoned Software Development Engineer SDE I - Data Engineering with deep expertise in building large-scale data ingestion processing and analytics platforms In this role you ll collaborate closely with Product Design and cross-functional stakeholders to design and implement high-throughput data pipelines and lakehouse solutions that power analytics AI and real-time decision-making for predicting and preventing cyber breaches What You ll Do Design and Develop Architect and implement high-scale data pipelines leveraging Apache Spark Flink and Airflow to process streaming and batch data efficiently Data Lakehouse and Storage Optimization Build and maintain data lakes and ingestion frameworks using Snowflake Apache Iceberg and Parquet ensuring scalability cost efficiency and optimal query performance Data Modeling and System Design Design robust maintainable data models to handle structured and semi-structured datasets for analytical and operational use cases Real-time and Batch Processing Develop low-latency pipelines using Kafka and Spark Structured Streaming supporting billions of events per day Workflow Orchestration Automate and orchestrate end-to-end ELT processes with Airflow ensuring reliability observability and recovery from failures Cloud Infrastructure Build scalable secure and cost-effective data solutions leveraging AWS native services S3 Lambda ECS etc Monitoring and Optimization Implement strong observability data quality checks and performance tuning to maintain high data reliability and pipeline efficiency What We re Looking For Bachelor s or Master s degree in Computer Science Engineering or a related field 1-3 years of experience in data engineering with a proven track record of designing large-scale distributed data systems Robust expertise in Snowflake and other distributed analytical data stores Hands-on experience with Apache Spark Flink Airflow and modern data lakehouse formats Iceberg Parquet Deep understanding of data modeling schema design query optimization and partitioning strategies at scale Proficiency in Python SQL Scala Go Nodejs with strong debugging and performance-tuning skills Experience in streaming architectures CDC pipelines and data observability frameworks Proficient in deploying containerized applications Docker Kubernetes ECS Familiarity with using AI Coding assistants like Cursor Claude Code or GitHub Copilot Preferred Qualifications Exposure to CI CD pipelines automated testing and infrastructure-as-code for data workflows Familiarity with streaming platforms Kafka Kinesis Pulsar and real-time analytics engines Druid Pinot Rockset Understanding of data governance lineage tracking and compliance requirements in a multi-tenant SaaS platform If you re passionate about cyber risk thrive in a fast-paced environment and want to be part of a team that s redefining security we want to hear from you

📌 Software Development Engineer I - Data (Karnataka)
🏢 Safe Security
📍 Karnataka