Summary
✨ AI‑Generated
A senior backend engineering opportunity focused on building scalable systems that process large volumes of real-time data. You will contribute to API log ingestion, stream and batch analysis, high-performance services, and cloud security capabilities while connecting software engineering with big-data processing and cloud infrastructure.
Highlights
Senior backend role focused on scalable cloud-security systems, high-volume real-time data processing, large-scale log analysis, and reliable services across cloud infrastructure and security domains.
Description
Orca Security is a cloud security platform built for engineers who care about visibility, context, and speed.
Founded in 2019 by former Check Point leaders, Orca has raised $630M+ and reached unicorn status in 2021.
Orca's platform scans the entire cloud environment — AWS, Azure, GCP, and more — and surface what actually matters by prioritizing findings on real-world context: exposure, privilege, and potential impact.
Cloud teams choose Orca because it deploys fast, scales with real infrastructure, and stays out of the way.
As a part of Orca cloud security suite, we are developing a product that processes massive amounts of real-time data.
Our team drives Cloud Detection and Response (CDR) solutions, managing large-scale API log ingestion, comprehensive stream and batch log analysis, and high-performance real-time services.
By connecting software engineering, big data processing, cloud infrastructure and security, we are delivering scalable and reliable systems.
Responsibilities
Contribute to the architecture, implementation, operation and maintenance of the entire Cloud Detection and Response product offering, including breach detection, anomaly detection and forensicsEnsure the reliability, performance, and scalability of our infrastructure, making data-driven improvements.Develop and optimize real-time and batch processing pipelines for API log ingestion and analysis.Implement and enhance observability using metrics, logging, and tracing to monitor service health and performance.Work closely with product management and research teams to align technical decisions with business needs.Design and implement storage solutions optimized for different types of data (structured, semi-structured, unstructured).
Requirements
5+ years of experience in software engineering with a focus on backend, distributed systems, or real-time data processing.Strong expertise in building scalable and performant services.Experience designing and deploying real-time data pipelines using Kafka or similar technologies.Deep understanding of cloud infrastructure, preferably AWS, and containerized deployments using Kubernetes.Proficiency in working with databases (PostgreSQL, SingleStore, or similar) and optimizing data storage for high-scale environments.Experience in building fault-tolerant, high-availability systems.Excellent communication skills and the ability to work in cross-functional teams.English level — B2.
Nice-to-haves:
Experience with real-time security and anomaly or threat detection systems.Familiarity with batch and stream processing frameworks.Prior work in high-scale, multi-tenant SaaS environments.Contributions to open-source projects related to real-time data processing.
