Backend / Platform Engineer

As a Backend / Platform Engineer, you will play a key role in designing and developing the core services powering an enterprise AI platform. You will contribute to building scalable backend infrastructure, APIs, orchestration systems, and platform capabilities that support both internal product teams and external customers. Working in a collaborative, remote-first engineering environment, you will take ownership of services throughout their entire lifecycle, from architecture and implementation to deployment and ongoing support. You will tackle complex distributed systems challenges while ensuring reliability, security, and performance. This is an opportunity to shape innovative AI-driven solutions and build robust platform technologies at enterprise scale.

• Proven experience developing and operating production backend systems, APIs, or distributed platform services.

• Strong software engineering fundamentals, with the ability to design reliable, scalable, testable, and maintainable applications.

• Experience with platform capabilities such as AI gateways, orchestration systems, entitlements, tenancy, metering, or usage quotas.

• Solid understanding of API design, developer experience, multi-tenant architectures, and service isolation.

• Experience building integration frameworks, connector solutions, event-driven systems, or governed data access patterns.

• Strong knowledge of distributed systems concepts, including retries, consistency, idempotency, back-pressure, and failure management.

• Experience managing services throughout their complete lifecycle, from initial design to production deployment and ongoing maintenance.

• Proficiency in one or more backend programming languages, particularly C#, Python, or Go.

• Familiarity with API gateways, orchestration platforms, event-driven architectures, and platform engineering principles.

• Understanding of AI technologies and architectures, including LLMs, RAG, agentic workflows, tool/function calling, MCP, and A2A.

• Knowledge of event-sourced metering, billing-related services, quotas, and entitlement management is an advantage.

• Experience developing enterprise-scale software used across multiple products, customers, or internal teams.

• Familiarity with AI-assisted development tools, combined with strong code review, testing, and architectural discipline.

• Excellent communication, problem-solving, and collaboration skills, particularly in client-facing and cross-functional environments.

• A pragmatic, adaptable mindset, with the ability to deliver meaningful results while maintaining high engineering standards.