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Product Engineer — AI & Agentic Security — APAC

Job in 560001, Bangalore, Karnataka, India
Listing for: Operant AI
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity, Systems Engineer
Job Description & How to Apply Below
Position: Staff Product Engineer — AI & Agentic Security — APAC  )
About Operant AI

Operant AI is the only complete agent defense platform — offering four of the most important products at the forefront of securing AI in the world today:
Agent Protector, Endpoint Protector, AI Gatekeeper™, and MCP Gateway. Together, they form the most comprehensive runtime defense suite available for enterprises deploying AI at scale, protecting every layer from infrastructure to LLMs to agentic workflows.

Operant is the only vendor recognized across all five of Gartner's most critical AI security reports. Backed by leading Silicon Valley VCs including Felicis and Sine Wave Ventures, we're on a mission to make AI deployment fast, frictionless, and secure.

We're hiring a senior engineer to join our growing APAC engineering team in Bangalore — a core contributor to the global product, with meaningful in-region technical depth for our most strategic regional accounts.

The Role

This is a senior product engineering role contributing directly to Operant's AI and agentic security platform. The primary focus is product engineering — customer focused roadmap features, system improvements, and shared product work alongside the rest of the engineering team. You also participate in the engineering on-call rotation and handle live debugging when customer-facing issues arise in your region.

You'll work closely with Operant's CTO, founding engineering team, and the Customer Success team for APAC. This is a high-visibility role at a fast-moving AI security startup — a lean, high-caliber team where the autonomy is significant by design.

What you'll do

Product Engineering

- Design, build, review, and ship features ( both backend and frontend ) powering Operant's products alongside the rest of the engineering team
- Own systems or components end-to-end — architecture, implementation, testing, deployment, operation
- Raise the technical bar through code review and contribute to architectural decisions on shared core systems

Technical depth in-region

- Provide live debugging and engineering depth for strategic APAC customers during their business hours
- Participate in the engineering on-call rotation, with primary responsibility for customer-facing issues during APAC hours
- Ship contained fixes and small features independently; coordinate with US engineering on anything architectural or cross-cutting
- Make the call on what gets escalated to the US team overnight vs. waits for morning, and produce comprehensive async handoffs when escalating

Customer and Engineering partnership

- Partner with the APAC Customer Success Team as their L2/L3 escalation path and technical partner
- Join key deployment milestones, architecture reviews, and QBRs/EBRs when product depth is required
- Translate field observations into product improvements looping in US team; validate feasibility of regional feature requests and present synthesized feedback in monthly product reviews

Operating across timezones

- Operate with autonomy across a 12–14 hour gap from the US team, with disciplined async communication
- Available during overlapping hours with Pacific Standard Time (PST) for global engineering meetings and synchronous work with US-based leadership

What you'll bring

Required

- 8+ years of backend software engineering experience, with at least 3 years at senior, staff, or principal level shipping production systems at scale
- Strong backend skills in one or more modern languages used in cloud infrastructure (Go, Python, or similar)
- Knowledge of frontend stacks, and being able to make small incremental improvements as needed in local timezone to support customers
- Hands-on experience with on-call rotations and production incident response — debugging live customer-facing issues and shipping the underlying fixes
- Deep hands-on experience with cloud-native architectures, Kubernetes, and container security across AWS, Azure, and GCP
- Strong working knowledge of runtime security, API security, CNAPP, or cloud workload protection
- Hands-on experience with at least one of: MCP, agentic AI platforms, LLM orchestration, or AI agent security — or strong evidence you can pick it up quickly
- Proven track record operating as a senior IC with…
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