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Cognition

AI Support Engineer

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Description

You will investigate, reproduce, and resolve complex customer issues involving infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will analyze logs and code paths, escalate well-documented issues, educate customers, and improve support workflows through playbooks, tooling, automation, and documentation.

Responsibilities

  • Investigate, reproduce, and diagnose complex customer issues across development environments
  • Perform root-cause analysis using logs, code paths, system behavior, and hypotheses
  • Resolve incoming technical issues while communicating clearly with customers
  • Escalate product or infrastructure issues with reproduction steps, logs, environment details, and root-cause hypotheses
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities
  • Build internal playbooks, tooling, automations, and documentation
  • Identify recurring failure modes and share feedback with product, engineering, and deployment teams
  • Support release testing and quality efforts across customer environments and workflows

Requirements

  • 4+ years of experience in software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling
  • Bachelor’s degree or higher in computer science, software engineering, or a related technical field, or equivalent practical experience
  • Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms, and networking fundamentals
  • Ability to reproduce, isolate, and debug issues from incomplete or ambiguous reports
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems
  • Ability to read and reason about code in multiple languages such as Python, TypeScript, Java, or Go
  • Strong written communication skills
  • Ability to manage a steady stream of incoming issues with urgency
  • Passion for AI and developer tools

Skills

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