SAAS Application Lead
4 weeks ago
SaaS Application Operations Lead
Exp -8+ Yrs.
Location - Noida/Chennai/Bangalore/Hyderabad/Pune
We are seeking a dynamic and experienced Lead for SaaS Application Operations to lead the delivery and operations of HCL SW AI-driven chatbot (Cognitive Virtual assistant) and agent queuing solutions. This individual will be responsible for ensuring the smooth Application operation, scalability, and reliability of our SaaS offerings, while driving operational excellence and ensuring top-tier customer satisfaction.
Key Responsibilities:
- Manage Application Operations tasks like Application release management, Application UAT, Customer SaaS onboarding, Training for SaaS platform as per customer requirement and manage SaaS operations activities.
- Develop Integration and Use cases for Cognitive Virtual Assistant platform.
- Act as the primary point of contact for critical escalations for Application Issues and deployments, ensuring timely issue resolution and customer satisfaction.
- Implement and manage MLOps and AppOps practices to streamline the deployment and monitoring of machine learning models.
- Develop and maintain Kubernetes-based Application deployment and Operations tasks.
- Utilize PaaS services including AI/ML/Gen AI services from Azure, AWS, and GCP Cloud to deploy and manage applications and machine learning models.
- Optimize performance, scalability, latency, and monitoring of deployed models and applications.
- Collaborate with cross-functional teams to ensure seamless integration and lifecycle management of AI models.
- Oversee the day-to-day SaaS operations, ensuring availability, security, performance and scalability.
- Collaborate with product and engineering teams for Customer enhancements/BugFixes/POC Requirements to ensure Customer success.
- Ensure the SaaS Application operations adhere to SRE and ITIL best practices and meet SOC, ISO, and other relevant compliance and certification requirements.
- Efficiently manage and allocate SRE Team resources across multiple projects, balancing operational needs with capacity and skills.
Must-Have Qualifications:
- Strong understanding of SaaS-based products Application architecture, AI chatbots, and CCAI systems.
- Hands on-experience with MLOps and Application Operations for Cognitive Virtual Assistant .
- Hand on experience of developing use cases and integrations.
- Working knowledge of Kubernetes and Serverless based Application Management.
- Hands-on experience with PaaS services including AI/ML/Gen AI services of Azure, AWS, and GCP Cloud.
- Proficiency in using ML PaaS services or deploying machine learning models.
- Proven experience in solving performance, optimization, scalability, latency, and monitoring challenges.
Preferred Qualifications (at least 2):
- Experience with databases such as DynamoDB, CouchDB, MongoDB, Postgres, or MySQL.
- Proficiency in JavaScript or Python.
- Experience with lifecycle management of AI models.
- Familiarity with Kafka or Apache Camel.
Basic Knowledge Requirements:
- Understanding of network,DNS and firewall configurations.
- Awareness of security best practices.
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