Senior Platform Engineer (On-Prem Infrastructure)

• Design, deploy, and maintain Kubernetes-based platforms in on-premises and air-gapped environments.
• Build reusable infrastructure using Terraform and Helm.
• Improve platform scalability, reliability, and operational efficiency.

Operate Distributed Systems

• Deploy and manage distributed infrastructure including Kafka, object storage, messaging platforms, and background processing services.
• Support data platforms such as Spark clusters or Lakehouse architectures where required.
• Ensure high availability, resilience, and disaster recovery across production systems.

Drive Operational Excellence

• Build production-ready CI/CD pipelines and deployment automation.
• Implement monitoring, dashboards, alerting, and observability using Grafana and Prometheus.
• Improve incident response, operational health, and platform performance.

Champion Security & Engineering Best Practices

• Implement secure deployment pipelines and infrastructure security controls.
• Design access management using RBAC, secrets management, and least-privilege principles.
• Collaborate closely with software engineers to productionize services and continuously improve developer experience.

• 5+ years of Platform Engineering, DevOps, Infrastructure Engineering, or Site Reliability Engineering experience.
• Strong hands-on experience with Kubernetes.
• Strong Terraform experience.
• Strong experience creating and maintaining Helm Charts.
• Experience building and operating production CI/CD pipelines.
• Experience deploying and managing production infrastructure in on-premises or air-gapped environments.
• Experience with distributed systems such as Kafka, message queues, or background processing services.
• Experience with Grafana, monitoring, metrics, dashboards, and alerting.
• Experience implementing deployment security, RBAC, access control, and infrastructure security best practices.
• Experience with MinIO or similar object storage solutions.
• Experience deploying API services in production environments.
• Working knowledge of AWS.
• Comfortable writing code for automation and platform tooling (Python preferred).

• Experience with Spark, Lakehouse architectures, or modern data platforms.
• Experience with GitOps tools such as ArgoCD or FluxCD.
• Experience with Azure or Google Cloud Platform.
• Experience building or deploying backend API services.
• Experience supporting AI/ML infrastructure.
• Knowledge of service mesh technologies.
• Experience with distributed storage systems.

• Work on challenging infrastructure problems at production scale.
• Build platforms powering AI, cloud, and distributed systems for global customers.
• Collaborate with experienced engineers across Platform, Cloud, AI, and Backend teams.
• Sponsored certifications and continuous learning opportunities.
• Comprehensive OPD and IPD health coverage.
• Flexible remote-first work model across Pakistan.