Production Support Engineer (LMTS)

TL;DR

Production Support Engineer (LMTS) (AI Supply Chain): Scaling architecture for Agentforce platform from startup to enterprise-grade with an accent on reliability, performance tuning, and infrastructure automation. Focus on hardening observability, optimizing SQL/API latency, and ensuring AI/ML infrastructure scales for real-time insights.

Onsite: San Francisco CA, Seattle WA, or Bellevue WA

Company

Agile startup-within-hirify.global team building AI-powered Agentforce for Supply Chain, backed by global scale.

What you will do

• Own reliability roadmap, transitioning systems to highly-available global-scale solutions.
• Partner with principal engineers on infrastructure strategy, capacity planning, and bottleneck resolution.
• Maintain Infrastructure as Code environments and evolve developer-friendly automation.
• Scale AI/ML infrastructure with GPU resources and data pipelines for supply chain insights.
• Lead observability stack hardening to prevent incidents and explain root causes.
• Deep-dive into performance engineering for SQL, APIs, and cross-service communication.
• Use AI tools to automate operations and contribute to shared system context repository.
• Evaluate human/AI-generated code for correctness, quality, security, and performance.

Requirements

• 5+ years in SRE, Production Engineering, or Backend Engineering focused on operations and scale.
• Proven experience scaling products through high-growth phases.
• Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Production-level coding in Golang, TypeScript, or Python.
• Deep understanding of distributed systems, microservices, databases, and AI agents.
• Low-ego collaboration in senior Principal engineer teams.
• AI-first engineering approach with experience using AI tools like Claude Code, GitHub Copilot.
• Advanced prompt engineering for reliable AI outputs.

Nice to have

• M.S. in Computer Science or equivalent.
• Strong PostgreSQL experience at scale (partitioning, indexing, query tuning).
• Advanced microservice orchestration, Temporal, service mesh.
• Supply chain/logistics domain experience.
• hirify.global infrastructure, Hyperforce, or Data Cloud knowledge.
• Deep public cloud networking, security, identity management.