About the Role

This is a founding-level Enterprise Platform Engineer role at a fast-growing AI developer tools company building infrastructure that enables AI agents to work across hundreds of production-grade applications. You'll architect and deliver the core systems — governance, security, observability, and extensibility — that allow enterprises to deploy and manage AI agents at scale. The work you do here will define how mission-critical, enterprise-wide automation is built.

What You'll Do

- Define governance, observability, and control planes for enterprise AI agent ecosystems.
- Build a secure, reliable integration gateway connecting AI agents to external systems and APIs.
- Develop platform primitives including multi-tenancy, isolation, and extensibility for enterprise scale.
- Architect the platform with first-class deployment flexibility, security, and compliance capabilities.
- Transform enterprise onboarding from a services model into a repeatable, self-serve product experience.

What We're Looking For

- 7+ years in backend or platform engineering, with 5+ years specifically building and maintaining production infrastructure systems.
- Proficiency with Kubernetes and container orchestration in production environments.
- Hands-on expertise with at least one major cloud platform (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation, or equivalent).
- Proven experience designing distributed,



multi-tenant platform systems with high availability and scalability.
- Practical experience with enterprise-grade auth systems (OAuth2, SAML, SSO, service accounts) and secure service-to-service authentication.
- Experience building integrations and connectors to third-party SaaS applications and public APIs, including retries, rate limiting, and error handling.
- Hands-on experience with observability tooling (Prometheus, Grafana, OpenTelemetry) and defining SLOs/SLIs for platform reliability.
- Strong CI/CD and GitOps practices with experience building automated deployment pipelines.
- Familiarity with enterprise compliance requirements such as SOC 2 and GDPR.
- Hands-on experience with AI products, agent architectures, or MCP is a strong plus.
- Experience in early-stage or founding engineering teams, contributing to product and technical direction.
- Strong system design skills — able to lead design reviews, write clear design docs, and make confident trade-off decisions.
- Strong CS fundamentals; a degree in Computer Science, Engineering, or equivalent practical experience is preferred.

Compensation & Perks

Salary range: $100,000 – $105,000 USD annually. Visa sponsorship is not available; candidates must already hold the right to work in India.

Location

On-site in Bengaluru, India. This role is not available remotely.

📌 Enterprise Platform Engineer (Bengaluru)
🏢 bareinsights
📍 Bengaluru