Lead Platform Engineer
3 days ago
Karachi Division, Sindh, Pakistan
Systems Limited
Full-time
PKR 4 - PKR 6 Contract
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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.