Lead Platform Engineer

3 days ago

Karachi Division, Sindh, Pakistan Systems Limited Full-time PKR 4 - PKR 6 Contract

The ideal candidate will work closely with architecture, infrastructure, platform, and application teams to deliver scalable, secure, highly available, and production-ready AI solutions.

Responsibilities

  • Design, deploy, configure, and manage Langfuse, NVIDIA NeMo Guardrails, MCP Servers, and MCP Gateway.
  • Implement AI security, governance, compliance, and access management controls.
  • Integrate AI platforms with enterprise applications, REST APIs, microservices, and backend systems.
  • Manage containerized deployments using Docker, Kubernetes/OpenShift, and CI/CD pipelines.
  • Configure and support PostgreSQL, Redis, and other shared platform services.
  • Design, implement, and maintain automated CI/CD pipelines for platform delivery.
  • Ensure platform monitoring, logging, high availability, backup, and disaster recovery capabilities.
  • Apply Infrastructure as Code (IaC), security, automation, and operational best practices using tools such as Terraform and Ansible.
  • Develop and maintain technical documentation, architecture diagrams, and operational runbooks.
  • Collaborate with application, infrastructure, and architecture teams to onboard and operationalize AI use cases.
  • Provide technical troubleshooting, platform support, and operational guidance for production environments.

Qualifications

  • 7+ years of experience in Platform Engineering, DevOps, Cloud Engineering, or Application Integration.
  • Technical lead-level expertise in OpenShift/Kubernetes, Linux, containerization, CI/CD, and infrastructure automation.
  • Strong experience with databases, caching technologies, networking, security, and enterprise platform operations.
  • Proven experience deploying, managing, and supporting enterprise applications in production environments.
  • Hands-on experience with containerized and distributed systems.
  • Strong experience integrating enterprise applications, APIs, and backend services.
  • Experience with AI/ML or GenAI platforms is preferred.
  • Experience working in highly regulated enterprise environments, preferably within banking or financial services, is desirable.