Lead System Engineer - L3 Support - Full Stack Engineer

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 7000+ technologists and consultants is based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role? What would your typical day look like?

Roles And Responsibilities

• 6+ Years of experience required in full-stack application and L3 Production support
• Support, troubleshoot, and enhance enterprise React/Python web applications.
• Develop and maintain REST APIs using Python (FastAPI).
• Perform production deployments, release validation, and post-deployment monitoring.
• Investigate production issues, perform RCA, and implement permanent fixes.
• Monitor application health, logs, and performance using Azure monitoring tools.
• Collaborate with business users, product teams, and infrastructure teams to resolve application issues.
• Support CI/CD pipelines and application release activities.
• Work with Databricks and AI/ML integrated applications for troubleshooting and operational support.
  
  

Participate in code reviews, performance optimization, and application improvements.

• Good hands-on knowledge of Front-end(React.js, JavaScript / TypeScript), Backend(Python, FastAPI, REST API development), Database (SQL Server, PostgreSQL, Azure SQL, Query optimization
• Hands-on experience with Azure is preferred ( Azure App Service, Azure Functions (preferred), Azure Storage, Azure Key Vault, Azure Monitor, Application Insights, Azure DevOps)
• Good prod support knowledge: L2/L3 Application Support, Incident Management, Root Cause Analysis, Performance Tuning, Production Deployments, Release Management, Monitoring & Troubleshooting
• Good experience with Enterprise web applications, Azure cloud-hosted applications, Agile/Scrum delivery, Client-facing support, ITIL processes
• Good to have Databricks notebooks, Azure AI Foundry, Azure OpenAI, Prompt Engineering, AI Agent-based applications, MLOps concepts
• Excellent problem-solving skills and the ability to work independently with minimal supervision.
• Strong communication skills and the ability to collaborate effectively in a team environment.
• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.