Senior Technical Lead

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Cloud Engineering

In short

Diesen Posten als Senior Technical Lead in Bengaluru, Karnataka, Indien suchen wir einen erfahrenen Support-Experten zur Überwachung des Betriebs, des Incident Managements und der technischen Wartung von KI/ML-gesteuerten Anwendungen, die mit Python entwickelt und auf AWS und Azure bereitgestellt werden.

Responsibilities

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.

Requirements

5–10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.
Strong proficiency in Python, debugging, and API frameworks (FastAPI, Flask, Django).
Experience with AWS (EC2, Lambda, S3, SageMaker, RDS) and Azure (App Services, Functions, Azure ML, Storage, AKS).
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.

Desired Qualifications

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.

Benefits

You'll supercharge your potential.
You'll find your career.
You'll find your spark.

Skills

PythonAWSAzureFastAPIFlaskDjangoEC2LambdaS3SageMakerRDSApp ServicesFunctionsAzure MLStorageAKSAzure DevOpsGitHub ActionsJenkinsDockerKubernetesDynatraceCloudWatchAzure MonitorApplication InsightsMLflowKubeflowSagemaker PipelinesAzure ML Pipelines

#AI#ML#Python#AWS#Azure#Cloud#DevOps#MLOps#Support#Lead#Technical Lead

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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