Teams at ITtude

Manage and optimize Linux servers, network devices, and cloud infrastructure. Automate deployments and configuration with Ansible and Terraform, build CI/CD pipelines, troubleshoot application and infrastructure issues, implement security best practices, monitor system performance, and support scalable growth. Collaborate with development teams and evaluate emerging infrastructure technologies.

Lead the productionization, deployment, optimization, and lifecycle management of machine learning systems. Build training and retraining pipelines, high-performance inference services, monitoring, CI/CD workflows, model versioning, and safe rollout strategies. Optimize latency, throughput, reliability, and costs using techniques such as quantization, batching, ONNX, and TensorRT. Partner with DevOps and SRE teams on observability, incident readiness, scalability, and continuous model improvement.

Leads DevOps operations for production cloud systems, evaluating technology and planning infrastructure improvements. Responsibilities include approving code, streamlining deployments, developing automation and infrastructure-as-code solutions, analyzing performance gaps, recommending enhancements, contributing technical expertise to project planning, and documenting specifications and processes.