Padmi

Net Production Support Chennai (India)

ChennaiPosted 1 month ago
IT supportMid-levelFull Time; Regular
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Job Role: .Net Production Support Experience: 5+ years Job Location: Chennai / Hyderabad Job Summary: We are seeking a highly motivated and experienced .net developer to join our L2 Application Production Support team. The ideal candidate will have a solid background in Python, React, GCP Cloud, and a keen interest in AI/ML. You Should be aware and has working knowledge of Incident management tools like SNOW, Netcool, Dynatrace, creating dashboards using Grafana. You will be responsible for ensuring the SLA based production uptime ensuring stability and integrity and performance of our production systems with adequate product knowledge, will also contribute to support code fixs leading to application dev over time. Responsibilities: L2 Support: * Conduct in-depth analysis based on functionalities and recent releases] and resolution of escalated production issues. [App failure, Gateway/Firewall issues, vulnerability issues etc.] \ Collaborate with development teams to identify and resolve root causes of defects. end result, analysis + RCA [templatized] which can be passed on to L3\ [handover process including any code fixes will be deployed by this team to test and then eventually elevate in production] * Develop and implement bug fixes and performance enhancements [Ph -II or PH-III] * Automate and Understand all the supporting infrastructure elements like pipeline, IAC deployments, scripts, jobs etc. that are run to support application. Accurately document them and identify automation prospects Required Skills and Qualifications: * Bachelors or master's in computer science, AI/ML. Engineering or related field. * 5+ years of experience as a .NET with SQL Server a flair of dev-ops experience will be positive. * Strong experience with front-end technologies, particularly React. * Hands-on experience with GCP Cloud services (e.g., Compute Engine, Cloud Storage, BigQuery). * Familiarity with AI/ML concepts and libraries (e.g., TensorFlow, PyTorch .

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