Backend Engineer (Go) – AI Security Platform at Pragmatike in India
- Company: Pragmatike
- Location: India
- Posted: Sep 19, 2026
- Type: Full-time
- Experience: 6+ years
Overview
Application 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
Job description
- Application
- 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
- 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.
Responsibilities
- 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.
Requirements
- 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.
- 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.
Skills
Required
- Go
- Python
- gRPC
- REST APIs
- protobuf
- Kafka or equivalent event streaming
- Docker
- Kubernetes
- AWS, GCP, or Azure
- Relational and/or NoSQL databases
- Testing discipline
- Fluent English
Preferred
- API gateways
- Proxies
- Service meshes
- Cloud provider APIs and IAM
- Elasticsearch/OpenSearch
- ClickHouse
- LLM agent frameworks
- Tool-calling protocols
Benefits
- 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.