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6 часов назад

Senior Platform Software Engineer (AI/ML Infrastructure)

160 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Platform Software Engineer (AI/ML Infrastructure): Building internal developer platforms, cloud-native infrastructure, and scalable CI/CD systems for an AI-native IT service and configuration management product with an accent on developer experience, automation, and distributed systems. Focus on designing AWS and Kubernetes platforms, improving observability and deployment reliability, and building self-service tooling that helps engineers ship and operate services confidently.

Location: NYC, NY; on-site

Salary: $160,000–$250,000 USD per year

Company

AI-native, seed-stage startup building IT Service and Configuration Management products with AI, graph-based architecture, and user-focused design.

What you will do

  • Build and evolve an internal developer platform with self-service tooling for services, environments, and infrastructure.
  • Improve local development, testing, deployment workflows, build times, feedback loops, and rollback and recovery systems.
  • Design and maintain scalable CI/CD systems using GitHub Actions and infrastructure-as-code workflows.
  • Design and operate cloud-native systems on AWS, EKS, Docker, and Kubernetes, while defining service architecture and deployment standards.
  • Own platform observability with Datadog, metrics, logging, distributed tracing, dashboards, alerts, and operational tooling.
  • Work across PostgreSQL, Kafka, Redis, and Temporal, partnering with backend and AI engineers to improve platform usability and reliability.

Requirements

  • Experience building internal developer platforms and multi-service distributed systems.
  • Strong experience with platform engineering, developer experience, infrastructure automation, and cloud-native systems.
  • Experience with AWS, EKS, Docker, Kubernetes, GitHub Actions, and infrastructure-as-code workflows.
  • Experience with observability, metrics, logging, distributed tracing, and operational reliability.
  • Experience working with PostgreSQL, Kafka, Redis, and Temporal.
  • Experience in high-growth or early-stage startups and with AI/ML infrastructure.

Nice to have

  • Experience establishing engineering standards and platform best practices across an organization.
  • Experience treating infrastructure as a product through self-service workflows and platform abstractions.

Culture & Benefits

  • Hands-on engineering role with responsibility for code, system design, and engineering practices.
  • Platform engineering is treated as a core product function rather than a support function.
  • Opportunity to shape how systems are built and how engineers ship across the company.
  • Equal opportunity workplace with a commitment to a discrimination- and harassment-free environment.

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