This is a role for a hardened technical engineer who thrives on complexity and demands architectural excellence. You wont just build connectors; you will design the foundation of our integration layer. You will bridge the gap between legacy security stacks and cutting-edge AI-native agents, creating a unified framework where data interoperability meets autonomous reasoning.

You will be a key driver in transforming our integration factory into a self-service, high-performance platform capable of orchestrating security at a global scale.

- Architect & Lead: Design and evolve highly resilient, distributed integration architectures (APIs, webhooks, streaming data pipelines) that can handle enterprise-scale throughput with sub-par latency.
- Pioneer AI-Native Systems: Lead the shift from ingestion-only integrations to autonomous security orchestration, integrating LLM-based reasoning and agentic workflows into our core product stack.
- Technical Excellence: Build scalable libraries and unified data models that allow our platform to "speak the language" of the global security ecosystem.
- Drive Vision: Partner directly with Product and R&D; leadership to prototype and ship high-impact features that solve critical, real-world security challenges.
- Mentorship & Strategy: Set the technical standard for the engineering organization, mentoring senior engineers and driving code quality, system performance, and innovation across the team.



Qualifications
- Experience: 15+ years of deep, hands-on software engineering experience, with a proven track record of designing production-grade, distributed systems.
- Engineering Mastery: Expert-level proficiency in Python, with a deep understanding of memory management, concurrency models, and performance optimization.
- Deep Networking: Mastery of networking fundamentals (TCP/IP, L3-L7 protocols) and security infrastructure.
- System Design: Expert at building highly available, fault-tolerant, and horizontally scalable distributed architectures (Kafka, message queues, microservices).
- AI/ML Integration: Demonstrated experience or a deep desire to master LLM-powered application development (RAG, agentic workflows, loop engineering).
- Product-First Mindset: You treat system design as a business problem. You possess the ability to articulate complex technical trade-offs to stakeholders while remaining focused on delivering outsized value to our customers.
- Education/Background: Preferably MS or Phd in Computer Science or equivalent experience in a highly technical, rapid-paced environment. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Software Engineer (Armis) (Bengaluru)
🏢 Snow Planet
📍 Bengaluru