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AI Support Engineer

Cognition· Customer Engineering
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SingaporeFull-timePosted 3mo ago

About the role

Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will resolve complex technical issues for customers using Devin and Windsurf in real-world development environments, performing deep debugging across codebases, infrastructure, tooling, CI/CD, APIs, containers, and cloud platforms.

Responsibilities

  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.
  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
  • Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
  • Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
  • Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
  • Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.

Qualifications

  • 4+ years of experience in a technical role such as 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 such as AWS/GCP/Azure, and networking fundamentals.
  • Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
  • Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
  • Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
  • Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
  • Passion for AI, developer tools, and the future of software engineering.

Skills

Required:LinuxDockerGitCI/CDCloud platformsNetworking fundamentalsCode reading in multiple languages

Benefits

  • N/A
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Cognition

cognition is an applied AI lab

An applied AI lab building the future of software engineering. We’re the makers of Devin, a collaborative AI teammate that helps ambitious engineering teams achieve more.

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