Backend Engineer – Platform

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, develop, and manage essential services that drive an enterprise AI platform.

• Contribute to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services.

• Take full ownership of services from design and implementation to testing, deployment, reliability, and ongoing support.

• Create and implement reliable, testable, and maintainable backend and platform services.

• Design APIs and enhance developer experiences for both internal and external users.

• Develop multi-tenant systems ensuring tenant isolation, service boundaries, and platform-wide enforcement.

• Construct integration frameworks, connector patterns, governed data access, and dependable data on-ramps.

• Manage retries, handle partial failures, ensure consistency, idempotency, back-pressure, and address operational failure modes.

• Monitor and provide support for deployed services.

• Deliver significant value swiftly while upholding engineering quality.

⛳️ Requirements

• Proven experience in building and operating production backend, API, or distributed platform services.

• Strong software engineering capabilities with a background in designing reliable, testable, and maintainable services.

• Familiarity with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or analogous platform functionalities.

• Ability to design APIs and developer experiences for both internal and external stakeholders.

• Experience with multi-tenant systems, tenant isolation, service boundaries, and patterns for platform-level enforcement.

• Skilled in building integration frameworks, connector patterns, governed data access, or reliable data on-ramps.

• Deep understanding of retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes.

• Proven track record of managing services through design, development, testing, deployment, monitoring, and support.

• Excellent communication and collaboration skills suitable for client-facing consulting settings.

• Pragmatic approach with the ability to deliver meaningful value rapidly while ensuring engineering quality.

• Proficiency in C#, Python, Go, or similar backend programming languages.

• Experience with API gateways, orchestration systems, connector frameworks, event-driven architectures, or platform engineering.

• Familiarity with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or practices related to the AI development lifecycle.

• Knowledge of event-sourced metering, quotas, entitlements, or billing-related platform services.

• Experience in developing enterprise-scale software utilized by multiple products, customers, or internal teams.

• Proficient in using AI-assisted development tools while maintaining rigorous review, testing, and architecture practices.

🏝️ Benefits

• Flexible remote work arrangement.

• Permanent employee status.

• Direct-hire employment opportunity.

• Chance to collaborate with a global multi-billion dollar software conglomerate.

• Engaging client-facing consulting environment.