Senior Technical Lead

• Lead, mentor, and guide a team of support engineers (L1/L2/L3).

• Act as the primary escalation point for complex issues across applications, ML models, and cloud services.

• Drive continuous improvement initiatives and establish best practices for operational excellence.

• Provide end-to-end support for Python-based APIs, microservices, AI/ML pipelines, and data processing systems.

• Diagnose and resolve issues related to Python environments, dependencies, performance bottlenecks, and integrations.

• Maintain high availability and optimal performance of production workloads.

• Establish monitoring dashboards and alerts through Dynatrace, CloudWatch, Azure Monitor or Application Insights.

• Own the full lifecycle of incidents, from detection to root cause analysis and preventive measures.

• Maintain and ensure adherence to SLA commitments.

• 5–10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.

• Strong proficiency in

, debugging, and API frameworks (FastAPI, Flask, Django).

• Experience with

.

• Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and infrastructure-as-code.

• Familiarity with containerization (Docker, Kubernetes) and microservices architecture.

• Strong understanding of AI/ML concepts, model deployment and monitoring.

• Excellent problem-solving skills and ability to handle high-pressure incidents.

• Strong leadership, mentoring, and team management capabilities.

• Effective communication and stakeholder management skills.

• Certifications such as AWS and Azure Administrator, or Azure/AWS Data/AI certifications.

• Experience with MLOps tools (MLflow, Kubeflow, Sagemaker Pipelines, Azure ML Pipelines).

• Knowledge of DevSecOps, automation, and cost optimization best practices.

• Experience in ITIL practices for incident, problem, and change management.