Meet the Team
You will be pivotal in contributing to the team responsible for designing and developing the next generation of scalable Kubernetes infrastructure with machine learning platforms that support both traditional ML and state-of-the-art Large Language Models (LLMs). This is a position for experienced engineers where you will lead the technical direction, ensuring the performance, reliability, and scalability of AI systems while collaborating closely with data scientists, researchers, and other engineering teams.
Your Impact
You will take ownership of sophisticated & highly scalable Kubernetes Platforms for microservices workload. Your leadership will be pivotal in driving the adoption and integration of both established Kubernetes platforms and emerging AI/ML technologies. You will mentor junior engineers to reinforce the team’s core technical expertise, ensuring a strong foundation in traditional container orchestration as well as contemporary AI-driven solutions. This role is ideal for someone passionate about tackling engineering challenges in dynamic environments,
with a commitment to delivering scalable, high-impact solutions that blend proven infrastructure methodologies with innovative AI/ML advancements.
Core Responsibilities
As a Platform Engineer with AI/ML Experience you will:
Architect and design scalable Kubernetes platforms supporting both traditional and Large Language Models (LLMs).
Provide On Call & client support for all Kubernetes platforms
Participate in troubleshooting the Operational Issues and drive Upgrades.
Proficient in Kubernetes (K8) platform to design, develop, and maintain scalable software solutions.
Drive cross-functional collaboration across infrastructure teams to ensure seamless integration and delivery of services.
Engage directly with clients to gather IT requirements, translate business needs into technical solutions, and architect robust systems.
Drive technical brainstorming sessions with technical teams to innovate and