Duties: Build and evolve high-scale, resilient integrations (APIs, webhooks, streaming data) with the broader security ecosystem, ensuring seamless interoperability at enterprise scale.

●

Pioneer AI-Native integration patterns and innovations, moving beyond simple data ingestion to implementing autonomous threat reasoning and automated security orchestration.

●

Resolve high frictions cases with customers and keen eye to find and resolve edge cases.

●

Develop scalable libraries and frameworks that allow our platform to speak the language of thousands of enterprise security products through unified data models.

●

Partner closely with R&D; and Product teams to define the future of autonomous risk management, and to prototype and deploy AI use cases that solve real-world security challenges.

●

Contribute to evolving the exist

Skills: 5- 10 years of deep Python engineering expertise with a focus on building production-grade, maintainable codebases.



Cyber Security experience is a plus

●

Deep networking fundamentals, including robust knowledge of TCP/IP and L3-L7

protocols.

●

Experience with high-throughput, enterprise-scale distributed systems, Async and synchronous programming.

●

A product-minded approach: you don't just write code; you solve critical problems for our customer base.

●

Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and

LLM-powered application development (RAG, agentic workflows).

●

Bring a proactive "can-do" attitude combined with a mindset focused on continuous learning and innovation.

●

In accordance with our hybrid work policy, this position requires on-site office attendance a few times each week.

Education: Engineering Degree

📌 Software Development Engineer || Bengaluru || Hybrid (India)
🏢 Trigent Software
📍 India