4 дня назад
Technical Support Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Support Engineer (AI): Supporting enterprise clients by resolving technical incidents, improving production tooling, and developing scalable deployment solutions with an accent on networking, Linux administration, automation, and customer experience. Focus on incident ownership, observability, agentic AI capabilities, infrastructure reliability, and 12x7 off-hours support.
Location: Singapore, Singapore (Hybrid); candidates must be legally authorized to work in Singapore. Visa sponsorship is not available.
Company
develops event-driven architecture technology that connects enterprise assets, streams real-time information, and enables applications, AI agents, and people to respond to business events.
What you will do
- Resolve customer technical issues and own incidents from diagnosis through resolution.
- Improve production environments through infrastructure tooling, observability, automation, and scalable deployment solutions.
- Support Agent Mesh and its agentic AI capabilities, including autonomous decision-making and multi-agent coordination.
- Handle service requests and customer provisioning while maintaining a high-quality customer experience.
- Collaborate with partners and regional teams across the global support organization.
- Participate in an on-call rotation providing 12x7 off-hours telephone support approximately one week per month.
Requirements
- Legal authorization to work in Singapore; visa sponsorship is unavailable.
- 5–10+ years of experience in software development, technical support, QA, or a similar technical role.
- Strong TCP networking knowledge and hands-on troubleshooting experience.
- Proven Unix/Linux system administration skills.
- Programming experience with at least one of Java, C, or .NET.
- Excellent English communication skills and availability for 12x7 off-hours support.
Nice to have
- Experience with messaging protocols and integration platforms such as JMS, MQTT, AMQP, REST, Kafka, IBM MQ, or MuleSoft.
- Experience with Docker, Kubernetes, OpenShift, VMware, or cloud platforms including AWS, GCP, and Azure.
- Knowledge of LDAP, Kerberos, OAuth, or SSL client certificate authentication.
- Experience applying AI/ML analytics, NLP, or predictive analytics to customer service data.
Culture & Benefits
- Hybrid-first work environment with flexibility designed to support work-life balance.
- Training programs and a growth-oriented approach to professional development.
- Values-driven culture focused on craftsmanship, trust, courage, freedom, momentum, humility, and human experience.
- Collaborative, inclusive, and socially engaged workplace.
- AI-assisted initial resume screening, with interviews and final hiring decisions handled by people.
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