Krishnadevan Purushothaman

As a Lead Technical Services Engineer focusing on the core aspects of MongoDB, my role encompasses both individual contributions and team management responsibilities. Here's a summary of my day to day tasks:

1. Balanced Focus:

• My role is divided equally between case work (50%) and team management (50%), which includes case quality auditing, workload prioritization, global team synchronization, project contributions, building team strategies, and groundwork for the QBR.

2. Team Assistance and Stakeholder Management:

• I assist the team with escalations across various issues and manage stakeholders effectively to ensure smooth operations.

3. Collaboration with Engineering:

• I collaborate with the engineering team on product reviews, support enablement, tooling initiatives and program management tasks, ensuring our support practices align with the latest product developments.

4. Expert Team Contributions:

• As a member of multiple expert teams, I actively contribute to addressing challenging use cases and issues related to MongoDB.

5. Product Grooming Projects:

• I work closely with the cuttingedge team of MongoDB on product grooming projects, driving forward innovative solutions and improvements.

6. Knowledge Base Contributions:

• I consistently contribute to the knowledge base, collaborating with the team to strategize and identify unique topics that enhance our collective expertise.

7. Retrospectives and Preventive Strategies:

• I conduct regular retrospectives on heavily impacted production cases, helping the team understand issues from the ground up and identify preventive strategies.

8. Post Mortem Team Leadership:

• As one of the founding members of the redefined post mortem team, I transformed the post mortem process to accommodate growing needs and simplified procedures. This transformation has been a gamechanger for the entire Technical Services Team in APAC.
• Overall, my role is integral in ensuring high quality support for MongoDB, fostering collaboration between teams, and driving continuous improvement initiatives.

• Providing enterprise level end to end support for MLOps Platform DataRobot.Technical lead for support operations team in India consisting of 8 engineers.
• Interact with leadership team regularly to get support roadmap updates and cascade it to t team. Set OKR's and work towards it to achieve milestone on or before deadline.
• Actively Collaborate with R & D team in getting deep understanding of products and SDLC lifecycle.
• Working closely with AI Success Engineer, AI Architects for helping customer achieve out of scope issues, adapt Best-Practices, design custom architecture for deploying or scaling ML-cluster
• Contributing to Knowledge base on writing technical articles, Official Product documentation.
  

• Provided enterprise level end to end support for Bigdata Platform Hortonworks,Cloudera customer's running HDP, HDF, DLM, DPS, CDH and CDP.
• Possess Advanced troubleshooting and code level debugging experience in Hadoop Ecosystem(Mapreduce, Yarn and HDFS) and other Bigdata services.
• Assist in Designing data pipelines and workload for Bigdata Jobs to run seamlessly in Live environment. Collaborated with DevOps team in automating Product deployment and implementing Continuous Integration with ETL tool developed inhouse.
• Actively contributing(Documents, Testing) to Apache Projects namely Hive, Hadoop, Spark, Kafka, Zeppline, Ranger, Knox.
• Involved in continuous testing of products inhouse and filing bugs, improvement, customization proactively before the Generally available production version.
• Worked together with Professional Services Consultant team for helping the customer achieve out of scope issues.

• Provided enterprise level support and Data pipeline design assistance for ETL based tool Talend. Acquired knowledge in Data Integration, Data Quality, ESB(Enterprise Service Bus), Bigdata-Integration Continuous Integration, SVN and GIT.
• Had provided best practices to customer for Data-Integration and ESB Jobs.
• Actively participated in war room testing for discussing customer issue with Engineering team.
• Worked with Professional Services Consultant team for addressing most critical Data-Pipeline requirement, best- practices.
• Contributing to Knowledge base writing technical articles or updating and amending existing ones.

• Provided enterprise level support for SDN Platform AppViewx on large scale Production Instances. Gained Integration troubleshooting experience in Application Loadbalancer(F5,Citrix, Akami, Radware), Proxy (Blue Coat, DNS(Infoblox), Firewall(Paloalto,CiscoASA, Juniper), Webservers(Apache Tomcat, Windows IIS)
• Specialized in code level debugging and had helped identify critical issues which had resulted in customer success.
• Studied and understood critical issues and had collaborated with content writing team to document all the issues.
• Coordinate enhancement and feature request with product management and AppViewX Engineering team.
• Worked closely with AppViewX Engineering and Architecture team on troubleshooting customer issues, providing Architectural level assistance to customer for deployment, had been part of most POC discussions.
• Had collaborated with Quality Engineering team for product testing and performance testing all customer issues from which gained overall Product Testing Experience.