В Databricks чётко описана инфраструктурная роль с современными облачными инструментами, заметной зоной ответственности и работой в быстрорастущей сфере AI и данных.
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Актуальные технологииПонятная зона задачСильная сфера
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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