Location: India, Remote-First
Employment: Full-Time
Start Date: November 2026 onward, with staggered start dates
Experience: Mid-Level to Senior
Language: Fluent English required
Industry: Cybersecurity / Enterprise SaaS / AI Security
About the Opportunity
Pragmatike is recruiting on behalf of a global enterprise cybersecurity company building a new generation of products to secure AI agents, LLM-powered applications, and the data they access.
The engineering organization is scaling rapidly in India, with multiple Backend Engineer openings across several product workstreams.
Depending on your experience and interests, you may join one of the following areas:
- Agentic Security: Real-time policy enforcement for AI agent actions, tool calls, and data access.
- AI Security Gateway: High-performance proxy between enterprise applications and LLM providers, covering inline inspection, DLP, rate limiting, and streaming.
- Platform: Shared multi-tenant foundations including identity/RBAC, configuration, event streaming, storage, and internal APIs.
- Data Security Integration: Event-driven integrations between AI security products and existing data security infrastructure.
- Cloud Discovery: Services that discover AI agents, model endpoints, and AI-enabled applications across AWS, Azure, and GCP, and map their access.
- Agentic AI Forensics: Ingestion, indexing, and querying of agent traces and security events for investigation and analysis.
- AI Risk Research: Tooling and testing harnesses that enable security researchers to identify and validate attacks against AI agents.
Across all workstreams, the core stack includes Go, Python, gRPC/REST, event streaming, Kubernetes, and major cloud platforms. AI-assisted development is also a core part of the engineering workflow.
What You'll Do
- Design, build, and operate production Go services with high standards for performance, reliability, and multi-tenancy.
- Design APIs and data models, owning service contracts, idempotency, retries, and back-pressure.
- Build event-driven pipelines and integrations with cloud providers, internal systems, or AI/agent frameworks.
- Own service reliability through testing, observability, CI/CD, and production readiness.
- Use Python for tooling, testing, migrations, automation, or data workflows.
- Collaborate with AI engineers, security researchers, and product teams on threat models and enforcement logic.
- Use AI coding assistants as part of your daily development, testing, and debugging workflow.
What We're Looking For
- 4+ years of professional backend engineering experience, including 2+ years building production services in Go. Senior roles require 6+ years overall and 3+ years in Go.
- Strong understanding of Go concurrency, networking, and performance, including goroutines, channels, context, and profiling.
- Working knowledge of Python.
- Experience designing gRPC and REST APIs, working with protobuf, and building asynchronous/event-driven systems such as Kafka or equivalent.
- Experience with Docker, Kubernetes, and at least one major cloud provider: AWS, GCP, or Azure.
- Experience with relational and/or NoSQL databases in distributed systems.
- Strong testing discipline and attention to data correctness.
- Fluent English with strong written and verbal communi