Platform Engineer

SourcingXPress; Bengaluru; On-site; INR 7,604,562 - 11,406,843; Full time

Benefits offered by this job

Lunch and dinner provided

$200/month learning budget

$1,000/month tool experimentation budget

Job summary

SourcingXPress is looking for a skilled platform engineer to innovate within the AI space focusing on building foundational infrastructure for AI agents. You will define scale and governance practices and create secure integrations with various applications.

This role offers a high degree of ownership with opportunities for professional growth and direct involvement in strategic company decisions. Enjoy a competitive salary, equity options, and extensive learning budgets.

Qualifications

• Experience building platforms at scale with high complexity.
• strong understanding of enterprise product capabilities.
• Experience shipping AI products or technology.

Responsibilities

• Define governance and controls for AI agents operating at scale.
• Create a secure integration gateway between AI agents and SaaS tools.
• Design architectural capabilities to ensure compliance and security.

Skills

Platform Engineering

AI Infrastructure

Multi-Tenant Architecture

Distributed Systems

AWS

Kubernetes

Python

Golang

Event-Driven Architecture

Observability

Tools

Terraform

Docker

GraphQL

REST APIs

Job description

Overview

This is a Permanent role with a valued client of Recruiting Bond. We’re building the learning infrastructure that transforms AI agents into true digital workers. While today’s agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. Our product gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable. Every enterprise is racing to make AI work — not as a demo, but as infrastructure that runs their business. Our product is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability. We’ve built this for the cloud. Now we need to build it for the enterprise — and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role.

Your Impact

• Agent infrastructure platform: The foundational layer that enterprise AI agents run on — governance, observability, and control planes for MCP-powered agent ecosystems. You’ll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
• The integration gateway: The secure, reliable bridge between an enterprise’s AI agents and the outside world — every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
• Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
• Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities — not bolted-on afterthoughts
• The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve

What You Bring

• You\'ve built platforms at genuine scale — not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
• You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
• You\'ve shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
• You\'ve built or shipped an AI product — or you’re the person who can\'t stop tinkering. You\'re building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
• You\'re a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right

Skills & Expertise

Platform Engineering, AI Infrastructure, Agentic AI, AI Agents, MCP (Model Context Protocol), Distributed Systems, Enterprise Architecture, Multi-Tenant Architecture, Backend Platform Engineering, Enterprise SaaS, API Platform Engineering, Integration Platforms, SaaS Connectors, Cloud Infrastructure, AWS, GCP, Kubernetes, Docker, Terraform, Microservices, Event-Driven Architecture, API Gateway, OAuth 2.0, RBAC, IAM, Observability, OpenTelemetry, Prometheus, Grafana, Reliability Engineering, SRE, Python, Golang, Node.js, TypeScript, REST APIs, GraphQL, AI Orchestration, LLM Infrastructure, LangChain, LangGraph, OpenAI APIs, Claude APIs, RAG, Workflow Automation, AI Tool Routing, Enterprise Security, Compliance Engineering, Deployment Architecture, Configuration Management, Extensible Systems, Scalability Engineering, High-Scale Systems, Technical Strategy, Platform Primitives, Developer Platforms, Enterprise Integrations, Infrastructure Engineering, Founding Engineer Mindset.

This role demands deep platform thinking. You\'ve designed systems where the abstractions were the product — where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code. You\'ve done this within large organizations and seen what "enterprise-grade" actually means when thousands of teams depend on your platform. But you\'ve also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect. The combination matters. Big-company pattern recognition with small-company intensity.

What We Offer

• Lunch and dinner are provided in the office
• $200/month learning and development budget
• $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
• High-ownership role with direct exposure to leadership and company-building decisions
• Competitive salary and equity