后端工程师（Go）– 人工智能安全平台
Backend Engineer (Go) – AI Security Platform
Location: 印度，远程优先
Employment: 全职
Start Date: 2026年11月起，分阶段入职
Experience: 中级至高级
Language: 需要流利的英语
Industry: 网络安全 / 企业SaaS / AI安全
关于该职位
Pragmatike正在为一家全球企业网络安全公司招聘，该公司正在打造新一代产品，以保护AI代理、LLM驱动的应用程序以及它们访问的数据。
工程团队正在印度快速扩张，多个后端工程师职位分布在不同的产品工作流中。
根据您的经验和兴趣，您可能加入以下领域之一：
- 代理安全：对AI代理行为、工具调用和数据访问进行实时策略执行。
- AI安全网关：企业应用与LLM供应商之间的高性能代理，涵盖内联检查、数据防泄漏（DLP）、速率限制和流处理。
- 平台：共享多租户基础架构，包括身份/基于角色的访问控制（RBAC）、配置、事件流、存储和内部API。
- 数据安全集成：AI安全产品与现有数据安全基础设施之间的事件驱动集成。
- 云发现：在AWS、Azure和GCP上发现AI代理、模型端点和AI启用的应用程序，并映射其访问权限。
- 代理AI取证：代理痕迹和安全事件的摄入、索引和查询，用于调查和分析。
- AI风险研究：工具和测试框架，使安全研究人员能够识别和验证针对AI代理的攻击。
在所有工作流中，核心技术栈包括Go、Python、gRPC/REST、事件流、Kubernetes和主要云平台。AI辅助开发也是工程流程的核心部分。
您将负责
- 设计、构建和运营高标准的生产环境Go服务，注重性能、可靠性和多租户支持。
- 设计API和数据模型，负责服务契约、幂等性、重试和背压机制。
- 构建事件驱动的管道和与云提供商、内部系统或AI/代理框架的集成。
- 通过测试、可观测性、CI/CD和生产就绪性来确保服务可靠性。
- 使用Python进行工具开发、测试、迁移、自动化或数据流程。
- 与AI工程师、安全研究人员和产品团队合作，设计威胁模型和执行逻辑。
- 将AI代码助手作为您工作流程的一部分使用
查看英文原文
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 communication skills.
- Comfortable using modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, Codex, or similar. This is a must-have.
- Ability to work independently and take ownership in a remote-first, distributed environment.
NICE TO HAVE
- Experience with API gateways, proxies, policy/authorization engines such as OPA or Cedar, or service meshes.
- Deep knowledge of a major cloud provider's APIs and IAM model.
- Experience with Elasticsearch/OpenSearch, ClickHouse, or other search/indexing and columnar data systems at scale.
- Familiarity with LLM agent frameworks, tool-calling protocols, and AI/agent security.
- Experience building multi-tenant SaaS platforms.
- Background in cybersecurity, security tooling, or trust & safety.
- Experience introducing AI-assisted or agentic development workflows across engineering teams.
AI-FIRST ENGINEERING
AI is a core part of how this team builds software.
During the interview process, you'll be asked about how you use AI in real-world engineering: the tools you rely on, how you validate their output, and how AI has changed your development workflow.
We're looking for engineers who use AI as a force multiplier for quality, productivity, and problem-solving, not simply as an autocomplete tool.
WHY JOIN
- Build a greenfield product at the intersection of cybersecurity and agentic AI.
- Work on Go services operating at enterprise scale and protecting some of the world's largest organizations.
- Take ownership of a product workstream and influence architecture from an early stage.
- Work alongside a highly technical, distributed engineering team where AI is a core part of the development process.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.