Назад
8 часов назад

Software Engineer, Infrastructure (AI)

136 300 - 187 450$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Infrastructure (AI): Building resilient, scalable, and automated AWS infrastructure, observability platforms, and developer tooling with an accent on infrastructure as code, Kubernetes orchestration, CI/CD, and secure-by-default telemetry. Focus on designing production-grade cloud systems, implementing logging, metrics, and tracing, and developing AI-assisted workflows that reduce operational toil.

Location: United States

Salary: $136,300–$187,450 USD annually

Company

Databricks is a data and AI company providing a unified platform for data, analytics, AI applications, and agents to more than 20,000 organizations worldwide.

What you will do

  • Build and evolve core infrastructure and observability platforms for the IT CorpEng Infrastructure team.
  • Develop production-grade AWS infrastructure using Terraform or Pulumi, optimizing for cost, security, scalability, and availability.
  • Deploy, manage, and scale secure, reliable, and resource-efficient Kubernetes workloads.
  • Build and maintain GitHub Actions CI/CD pipelines, including cloud-hosted and self-hosted runners.
  • Implement observable-by-default standards with logging, metrics, and tracing configured for internal applications.
  • Develop internal CLI tools, AI-assisted workflows, automation scripts, operational playbooks, and failure-triage guides while collaborating with Security, Engineering, Infrastructure, and Support teams.

Requirements

  • 3+ years of hands-on software engineering experience and strong proficiency in Python for scripting, automation, and tooling.
  • Solid working knowledge of Terraform, including modules and state management, or Pulumi.
  • Hands-on experience building and supporting production workloads in AWS, Azure, or GCP.
  • Working knowledge of Kubernetes and Docker fundamentals.
  • Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar modern CI/CD tools.
  • Practical understanding of logging, metrics, and tracing, with hands-on experience integrating tools such as Datadog, Prometheus, or Grafana.
  • Ability to own end-to-end tasks with guidance from Tech Leads and break broader technical goals into actionable solutions.

Culture & Benefits

  • Product-led IT organization focused on scalable internal services and applications.
  • Cross-functional collaboration with Security, Engineering, Infrastructure, and Support teams.
  • Peer code reviews, knowledge sharing, and onboarding support for maintained platforms.
  • Comprehensive benefits and perks, with details varying by region.
  • Compensation may also include an annual performance bonus, equity, and regional benefits.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

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