Platform Engineer

We’re hiring a **Platform Engineer** to join SendOS. **This is an Individual Contributor (IC)** role working directly with the Head of Engineering across multiple products, including **SendFood, Sendy(AI food ordering Platform), SendOS, and SendOS native Apps** . Unlike a backend engineer assigned to a single product, this role will focus on cross-product and technically challenging problems that require deeper investigation, system design, and hands-on execution. **What you’ll do:** * Design and build production backend services using C# / .NET * Design APIs, service boundaries, data models, and asynchronous workflows * Investigate complex production and distributed-system issues * Design for concurrency, idempotency, consistency, retries, and failure recovery * Build and operate event-driven and distributed systems * Design and implement LLM-powered and agentic workflows * Work with tool calling, structured outputs, agent orchestration, context management, and external system integrations * Design safe and reliable execution boundaries between AI agents and business systems * Build OAuth and third-party SaaS integrations * Work with AWS-based production environments * Drive architecture decisions through implementation * Improve system reliability, observability, performance, and security * Unblock engineering teams on difficult cross-system problems **What we’re looking for:** * Strong hands-on experience with **C# / .NET / ASP.NET Core** * Strong understanding of **distributed systems and system design** * Strong SQL, database design, and transaction fundamentals * Production experience with **AWS and containerized workloads** * Strong understanding of asynchronous and event-driven architectures * Good understanding of authentication, authorization, OAuth, and application security * Strong production debugging and root-cause analysis skills * Strong understanding of **LLMs and modern AI application architecture** * Practical understanding of **agentic systems, tool/function calling, orchestration, context management, structured outputs, and agent execution** * Understanding of LLM reliability challenges, including non-deterministic output, validation, retries, guardrails, and failure handling * Ability to design AI systems where sensitive or high-impact actions require controlled and auditable execution * Ability to navigate large and unfamiliar codebases independently * Ability to make sound technical decisions with incomplete information and clearly explain the trade-offs * Ability to make sound technical decisions with incomplete information * Ability to explain technical trade-offs clearly and challenge designs when necessary This is **not a people-management role** . You will work across product teams while existing Tech Leads retain ownership of their respective teams. We’re looking for someone who can be given a **problem, not just a fully defined Jira ticket** — someone who can investigate, recommend an approach, and help drive the solution through to production. **Location:** Singapore **Employment:** Full-time