- Company Name
- myGwork - LGBTQ+ Business Community
- Job Title
- Technical Support Engineer
- Job Description
-
Job Title: Technical Support Engineer
Role Summary:
Provide remote technical support for Dataiku’s DSS AI platform, diagnosing and resolving complex customer issues across installation, security, integration, and performance. Collaborate with R&D and other customer‑facing teams to deliver timely solutions, document best practices, and contribute to continuous product improvement.
Expections (Expectations):
- Minimum 3 years of client‑facing engineering or technical support in a fast‑moving software environment.
- Strong problem‑solving with advanced log analysis, debugging, and error reproduction.
- Hands‑on experience with cloud infrastructures (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes).
- Proficiency in Unix/Linux operating systems and relational data stores (SQL, Snowflake, etc.).
- Ability to write and understand Python or R code.
- Collaborative mindset, clear communication, and willingness to support cross‑functional teams.
Key Responsibilities:
1. Troubleshoot and resolve technical issues reported by EMEA and global customers via phone, chat, and email.
2. Escalate complex problems to R&D or specialized teams, ensuring timely resolution and knowledge sharing.
3. Document solutions through technical articles, knowledge‑base entries, and forum contributions.
4. Assist in product usability and feature feedback loops with internal stakeholders.
5. Participate in on‑call rotation and other ad‑hoc support activities as required.
Required Skills:
- Cloud platforms: AWS, Azure, GCP
- Container & orchestration: Docker, Kubernetes
- Unix/Linux system administration
- Relational databases / data warehouses (SQL, Snowflake)
- Programming: Python, R
- Log analysis, debugging, advanced troubleshooting
- Strong communication, teamwork, and customer‑first attitude
Optional / Differentiating Skills:
- Big‑data technologies: Hadoop, Spark
- Authentication/authorization: LDAP, SAML, Kerberos
- ML/LLM experience
- Cloud certification (AWS/Azure/GCP), Docker, Kubernetes
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
- Industry‑relevant certifications (e.g., AWS Certified Solutions Architect, Docker Certified Associate, Kubernetes Administrator) advantageous but not mandatory.