Sr. Software Development Engineer - Java/ Agentic AI/ Big Data

Overview

Senior Software Engineer in Data + AI within the ZDX Engineering team, designing a high-throughput data platform using an AI-first approach to analyze large volumes of network data in near real time.

What you'll do

• Architect and scale distributed data pipelines supporting high-throughput ingestion, feature engineering, and real-time data serving from Big Data platforms.
• Design, build, and orchestrate Agentic AI systems, including multi-agent workflows, tool integrations, state management, observability, and real-time agent serving.
• Partner cross-functionally with data architects, product management, and engineering to automate complex analytics, anomaly detection, and threat triage.
• Lead the technical implementation, debugging, and end-to-end monitoring rollout plans for resilient, production-grade agentic frameworks.

What you'll need

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain.
• 3+ years of hands-on software engineering experience in Java and Spring Boot within large-scale, data-intensive environments.
• Hands-on experience with Redis caching, partition-aware query patterns, and high-performance querying on platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery.
• Proven experience building and operating LLM- or agent-based architectures, including multi-agent orchestration, agent-to-agent communication, and autonomous decision-making workflows.
• Deep expertise in distributed systems architecture and major public cloud platforms including Azure, GCP, or AWS.

Nice to have

• Experience designing and optimizing autonomous AI agents with advanced reasoning, planning, and tool-use capabilities to automate complex network analytics and threat triage.
• Proven track record of designing, building, and shipping production applications processing billions of events across big data, AI, and distributed systems.
• Hands-on experience with advanced frameworks like LangGraph, multi-agent systems, prompt engineering, and state-of-the-art agent orchestration patterns.

Details

• Location: Bangalore, India.
• Zscaler follows a hybrid working model.