AI Platform Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent global leader in the computer software and professional services industry. They are known for driving digital transformation for large-scale enterprises through innovative technology solutions and a commitment to operational excellence. The organization fosters a collaborative, fast-paced environment that encourages continuous learning and professional growth.
About the role.
We are seeking a highly skilled AI Platform Engineer to join our client's team in Bangalore. In this hybrid role, you will be responsible for designing, deploying, and maintaining robust AI infrastructure. You will play a critical role in ensuring the scalability, reliability, and observability of AI platforms to support complex business requirements.
What you will do.
- Architect and manage scalable AI infrastructure using Openshift and Kubernetes environments.
- Design and implement comprehensive telemetry and observability frameworks to monitor platform health.
- Develop and maintain automated Infrastructure as Code (IaC) solutions to streamline deployment processes.
- Configure and manage monitoring tools such as Prometheus, Grafana, and the ELK stack.
- Collaborate with cross-functional teams to optimize AI model deployment pipelines.
- Ensure high availability and performance of platform services through proactive troubleshooting.
- Write and maintain efficient scripts using Python to automate platform operations.
- Implement security best practices across the AI platform ecosystem.
What you bring.
- 10–14 years of professional experience in platform engineering or infrastructure roles.
- Deep expertise in Openshift and Kubernetes, covering setup through to production deployment.
- Strong proficiency in telemetry and observability stacks, specifically Prometheus, Grafana, or ELK.
- Advanced knowledge of Infrastructure as Code (IaC) automation principles.
- Strong programming skills in Python for automation and scripting.
- Proven ability to work in a hybrid work environment.
- Excellent problem-solving skills and the ability to manage complex technical environments.
- Strong communication skills to collaborate effectively with global teams.
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