Cognition06/25/2026
Инженер поддержки AI
Salary not specified
MARKET
12,375 ₽median for this role
IT Support / Helpdesk · 65 jobs with disclosed pay
5,714half of the offers: 8,583–16,667145,833
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьSingapore
Responsibilities
- 01Investigate, 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.
- 02Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
- 03Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
- 04Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
- 05Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
- 06Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
- 07Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
- 08Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.
Requirements
- 014+ years of experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
- 02Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- 03Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
- 04Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
- 05Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
- 06Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
- 07Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
- 08Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
- 09Passion for AI, developer tools, and the future of software engineering.