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5 часов назад

Senior / Staff Platform Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Singapore/UAE +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior / Staff Platform Engineer (AI): Building developer platforms, scalable CI/CD pipelines, reusable infrastructure modules, and AI agent tooling for high-volume payments and e-commerce systems with an accent on platform automation, infrastructure-as-code, security, and observability. Focus on designing model gateways and evaluation harnesses, integrating MCP tools, measuring non-deterministic model quality, and improving reliability across engineering teams.

Location: Bangkok, Thailand; hybrid workplace

Company

hirify.global builds payment, monetization, distribution, and digital commerce solutions for publishers, brands, and consumers across more than 70 markets.

What you will do

  • Design developer tools, scalable CI/CD pipelines, and improvements to engineering DORA metrics.
  • Build reusable, versioned Terraform modules, migration playbooks, and golden paths for infrastructure adoption.
  • Design AI engineering systems including model gateways, MCP servers, tool surfaces, prompt assets, cost budgets, and execution guardrails.
  • Build evaluation harnesses to measure coding-agent quality, adoption, and outcomes.
  • Implement least-privilege IAM, secrets hygiene, policy-as-code, structured logging, tracing, and SLOs-as-code.
  • Maintain team-owned tooling, resolve production CI/CD issues, lead cross-team initiatives, and participate in an on-call rotation.

Requirements

  • Proven platform engineering experience and mastery of one programming language: Go, TypeScript, Python, or Java/Kotlin, plus proficiency in a second.
  • Strong knowledge of architecture, resilience patterns, TDD/BDD, feature flags, safe refactoring, and data system evolution.
  • Deep experience with LLMs and coding agents, including harness design, MCP and tool integration, agent workflows, and model limitations.
  • Experience designing evaluation frameworks and quality signals for non-deterministic model outputs.
  • Expertise in CI/CD automation, policy-as-code, supply chain integrity, and observability fundamentals.
  • Bachelor’s degree in CS/STEM or equivalent practical experience, with strong written and verbal English communication skills.

Nice to have

  • Experience building internal developer platforms or driving organization-wide AI tooling adoption.
  • Expertise in AWS, AWS Lambda, Docker, and Kubernetes.
  • Experience leading large-scale refactoring, modernization, or deprecation programs that reduce technical risk.

Culture & Benefits

  • Permanent employment in a hybrid workplace.
  • Work in a global engineering organization with colleagues from 57 nationalities across 23 locations.
  • Balance teamwork with individual autonomy and ownership of engineering features.
  • Participate in a balanced on-call rotation.
  • Collaborate on distributed systems for high-volume payments and e-commerce.

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