Cloud / AI Platform Engineer

Experience and Skills

• 5+ years of professional experience in cloud engineering or platform engineering.
• Proven experience designing and deploying cloud architecture on Google Cloud Platform (GCP).
• Production experience building and deploying AI applications, including agent-based workflows or LLM-powered systems.
• Strong expertise in cloud security, IAM, secrets management, networking, logging, and monitoring.
• Hands-on experience deploying APIs, backend applications, and containerized web platforms using CI/CD pipelines.

Skills

• GCP
• Cloud Security
• IAM
• APIs
• LLM Integration
• CI/CD
• Docker
• Kubernetes
• Python

Projects

This role focuses on designing and operating the cloud foundation required for an AI-enabled web platform. You will build and scale infrastructure to support technical and documentary bidding processes, ensuring high performance, security, and traceability. Working in a collaborative engineering cell, you will bridge the gap between traditional cloud infrastructure and modern AI capabilities. As a senior engineer, you will drive architecture decisions, deploy APIs, manage data pipelines, and integrate LLM-based services on GCP. You will work closely with data and innovation teams to co-construct scalable solutions, document technical decisions, and mentor internal team members on cloud and AI platform best practices.

Key Responsibilities

• Design and implement secure, scalable cloud architecture on GCP for an internal AI-enabled web platform.
• Deploy and maintain infrastructure for APIs, backend services, AI agent workflows, and supporting data pipelines.
• Define and enforce cloud security practices, IAM controls, secrets management, and platform logging.
• Collaborate with technology, data, and engineering teams to resolve technical blockers and align on architectural decisions.
• Document technical solutions and facilitate knowledge transfer to internal team members.

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Nice to Have

• Vector Databases
• LangChain
• LlamaIndex
• AI Observability
• Vertex