Job VC

ZentixSoft is looking for a Senior AI Infrastructure Architect (GCP, GKE & MLOps) 🧠⚙️

We are expanding our high-performance computing and MLOps direction for our international partners and are looking for a mature
Senior AI Infrastructure Architect
to design scalable, GPU-accelerated cloud environments in the security and urban intelligence sector.
Note:
This is an
Outstaffing role.

💡
Why ZentixSoft?

💸
Salary Review:
A structured system of compensation reviews aligned with your expertise and engineering growth.
⚖️
Work-Life Balance:
A focus on sustainable engineering practices with no senseless overtime, helping you keep your resource fully charged.
🦾
Trust and Transparency:
Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁
Gifts & Culture:
Corporate gifts for birthdays, and a true team atmosphere where your voice always matters.

If you are ready to architect next-generation AI platforms, here is what our perfect match looks like:
1️⃣
Cloud & K8s Mastery:
Deep expertise in containerization and deploying high-performance, GPU-enabled
Google Kubernetes Engine (GKE)
clusters on
GCP
.
2️⃣
MLOps Platform Design:
Proven track record of architecting scalable MLOps pipelines to support massive AI/ML model training, testing, and production deployment.
3️⃣
NVIDIA Acceleration Stack:
Strong hands-on knowledge of the NVIDIA ecosystem, including
CUDA, TensorRT, Triton Inference Server, and NVIDIA NIM
to optimize model latency and throughput. 4️⃣
AI Services Integration:
Practical experience working with
Vertex AI
and cloud-native AI/ML services.
5️⃣
Cross-functional Leadership:
Strong communication skills (English
B2 or higher
) to confidently align with DevOps, ML, and engineering teams on deployment standards.

Project Details:
📍
Location:
Remote.
⏳
Duration:
6–8 months (Full-time allocation).
🚀
Start:
Within 2–3 weeks.