





Mid-senior, metro Bangalore role with notable company brand and commonly sought backend/data skillset.
Streaming, cloud, and backend skills are highly transferable across industries despite cybersecurity context.
Explicit 6–10 years plus mandatory distributed systems, streaming, cloud, and language expertise.
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Lead design and development of the next-generation parsing platform for Arctic Wolf's data pipeline handling trillions of daily events.
Own complex initiatives to improve scalability, flexibility, and performance of data transformation and validation workflows in real-time systems.
Lead deployment and operation of containerized, cloud-based services and mentor engineering team members.
6–10 years of software engineering experience, including building complex distributed systems.
Proven experience with high-throughput, large-scale, high-performance data systems and solving scalability challenges.
Proficiency in Golang, Python, or Java and familiarity with containerized environments (Docker, Kubernetes).
Experience with cloud service platforms (AWS, Azure, or GCP) and event-driven/stream processing systems (e.g., Kafka, Flink).
Experienced in architecting and developing scalable parsing/data ingestion frameworks in security or large-scale data environments.
Comfortable working in ambiguous problem spaces requiring technical leadership and decision making.
Skilled in deploying and operating cloud-native microservices in CI/CD environments with a focus on production-grade software quality.