обновлено 5 дней назад
Customer Engineer
61 000 - 138 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Engineer (Python/Java/Cloud): Resolving complex technical issues for enterprise SaaS customers through configuration, workflow compilation, lambda code debugging, integrations, and JSON-based troubleshooting with an accent on customer success and system health. Focus on diagnosing distributed platform problems, collaborating with Engineering and DevOps during escalations, monitoring tenant-level alerts, and supporting critical incidents in a 24/7 on-call rotation.
Location: Eastern U.S.
Salary: $61,000–$138,000 USD annually
Company
is an SAP company providing a cloud-native SaaS Context Intelligence Platform that harmonizes, unifies, and governs enterprise data for applications and AI systems.
What you will do
- Resolve highly complex customer issues involving technical configuration, workflow compilation, lambda code debugging, integrations, and JSON.
- Research, reproduce, troubleshoot, and investigate technical problems through resolution.
- Attend client meetings to analyze, diagnose, and communicate solutions.
- Act as a subject matter expert on multiple product features and help maintain system health at scale.
- Collaborate with Engineering and DevOps rapid-response teams, monitor tenant-level alerts, and prevent escalations.
- Document common issues, share best practices, contribute to the knowledge base, and participate in a 24/7 on-call rotation with occasional weekend shifts.
Requirements
- Bachelor’s degree in Computer Science or an equivalent field.
- Completion of two or more internships during undergraduate or graduate studies.
- Programming experience with Python and Java, plus a solid understanding of cloud technologies.
- Strong troubleshooting, debugging, problem-solving, and analytical skills.
- Motivation to learn and adopt new technologies, demonstrated through relevant certifications.
Nice to have
- Master’s degree in Computer Science or equivalent experience.
- Experience with NoSQL databases such as Cassandra, Elasticsearch, or DynamoDB, and with distributed indexes.
- Knowledge of object-oriented programming and design, data structures, and algorithms.
- Experience with data management, master data management, analytics, and big data platforms.
Culture & Benefits
- Flexible work arrangements supported by a distributed workforce.
- Collaboration with Customer Success, Engineering, DevOps, Product Management, Sales, and Marketing.
- Opportunities to mentor customer engineers, share knowledge, and influence product improvements.
- Participation in work supporting enterprise customers and large-scale cloud-native technology.
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