Senior Platform Engineer

emater

- Own the existing stack: audit, document, and take responsibility for the custom apps across our four stores and VPS - Make it configuration-driven: refactor hardcoded, store-specific logic so per-store change is a config change, not a code change. One platform vs. several apps is your call — config-driven is non-negotiable - Plan and execute the evolution: decide what consolidates, stays separate, or gets rewritten. Migrate with near-zero downtime and a rollback plan at every step - Roadmap: maintain a prioritized engineering roadmap aligned with brand and ops priorities - AI-native API design: endpoints meant to be consumed by agents — well-documented, idempotent, deterministic where it matters, observable - Agentic store operations: build the primitives for end-to-end store management (catalog, inventory, orders, support, merchandising, content) with the right guardrails and audit trails MCP, A2A & interop: expose capabilities via MCP servers, A2A endpoints, webhooks, and structured tools. Track these standards as they evolve - Architect the internal AI tooling layer: design and build the agents that consume the platform, plus the shared scaffolding (prompts, evals, memory, routing). First-class part of the role - Evaluation & drift control: build eval harnesses so we catch regressions, hallucinations, and drift before users do

- 6+ years of professional engineering experience, 3+ years owning production systems end-to-end - Excellent English knowledge: both written and verbal - System design: configurable multi-tenant systems from first principles; can explain trade-offs to non-engineers - Backend & platform engineering: production proficiency in Python and/or Node.js/TypeScript. Comfortable with data modeling, performant SQL, idempotent APIs, multi-tenant config, concurrency - CI/CD & DevOps: GitHub Actions / GitLab CI, Docker, IaC. You don't need a DevOps team to ship safely - AI-first development: strong, current proficiency with Claude Code and other agentic tools. Shipped non-trivial production code with them - LLM, agent & interop: OpenAI/Anthropic APIs, MCP, A2A or comparable protocols, tool use, structured outputs, evaluation - IC leadership: raise the bar through reviews, design docs, and mentorship — without becoming a bottleneck, as well as design and implement new SOPs Operational mindset: cost, security, observability, and on-call before you ship - Communication: can write a design doc, run a code review, push back on scope, explain decisions to non-technical stakeholders

Apply here https://emater.bamboohr.com/careers/102?source=aWQ9Mjc%3D Please mention in your application that you have learned about this position from MyJob.am