Samarth Magotra
Senior Sdet Manager @Microsoft
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WORK HISTORY
Senior Sdet Manager @Microsoft
Enfield, GB
Test, automation and release validation of Private mobile and Enterprise edge as a service, with packet core deployed on Azure Stack Edge device (ASE) in Azure cloud.Led non-functional tests, test automation and solution test team to validate Azure Private 5G core (Edge network on Azure cloud, SMF/UPF/AMF as DUT), interfacing with Spirent traffic generator tool (acting as RAN (eNB/UE)). • Managed and mentored a team of 8 to develop an automated test validation framework for verifying mobile network deployed on Azure Stack Edge. All these automated validations are run using a one-click solution which controls parallel ADO pipelines to run across setups, gets queued & scheduled dynamically as part of continuous testing (CT). Results are populated to the Power BI dashboard.• Responsibilities include developing test strategies for solution-level testing (System tests, Performance tests, Scale, Stability and Robustness tests) and automating/executing these tests release over release (for GA and patch releases).• Experienced in Product Test Life Cycle, Agile Methodologies, ADO scrum, Azure DevOps, CT Pipelines, and Kubernetes/Dockers.• Weekly calls, presenting weekly status on progress and plan to leadership.
EDUCATION
Savitribai Phule Pune University
Post Graduate Diploma in Digital System Designing, VLSI,Embedded Systems
Dr. A.P.J. Abdul Kalam Technical University
B Tech, Electronics and Communication
Kendriya Vidyalaya
12, Science with computers
SKILLS
ABOUT SAMARTH MAGOTRA
I am a Senior SDET Manager/Lead, with 16 years of test, automation and test frameworks experience across Telecom software, Cloud, Embedded and Networking software and PaaS products, with companies like Microsoft, Cisco Systems, Affirmed Networks and Samsung. I am experienced in handling test releases and test teams specialising in functional and non-functional testing, delivery using Azure DevOps( CI/CD Pipeline automation), test automation using Python on Linux environment(Ubuntu, CentOS)(integration testing, API testing, pyTest, OOPs, encoding/decoding, web-scrapping), Scrum & Agile methodologies, DevOps, cloud technologies and on-prem infrastructure. I am a hands-on test lead, with experience leading teams of 8+ engineers, focused on troubleshooting, validating and delivering Microsoft’s Azure-based 1P enterprise products for Telco Operators. I have led functional and non-functional tests, test automation and DevOps projects for telco, networking, infrastructure and embedded domain software (for both K8 container-based and virtualised Linux VM architecture), and recent projects involving deployments and testing on MS Azure Edge Cloud (Azure Stack Edge) using K8/Terraform.TOP SKILLSPlatform - Azure Cloud, KVM, VMware, Linux/Unix, DevOps, Kubernetes and Docker (CKA and CKAD certified), Terraform, Azure Stack Edge (ASE), Azure Cloud Services(AZ-104 certified), Azure ADO, Jenkins, Cloud Native(CNA).Test, Automation and tools: Functional, System and performance tests, test automation using Python on Linux (web scrapping, API Testing, pyTest, pycrate, Openapi, asynchronous automation, OOPs), Selenium, TCL, ADO CI/CD/CT pipelines, Bash scripting, DevOps Automation, Terraform, Jenkins, Jira, Git, Spirent LoadgenProject Management - Agile, Scrum, Azure DevOps (ADO), Power BI, Testrail.Telecom Technologies: 4g/5g Packet Core (MME/SGW/PGW/HSS, AMF/SMF/UPF/UDM), RAN(UE/eNB/gNB), IMS/VoLTE/IoT, L2/L3, TCP/IP, Routing protocols, 3GPP standards and call-flows.CERTIFICATIONS:Google AI Certification Certified Kubernetes Application Developer (CKAD)Certified Kubernetes Administrator (CKA)Kubernetes and Cloud Native Security Associate (KCSA, KCNA)Microsoft Certified: Azure Administrator Associate (AZ-104)Microsoft Azure Artificial Intelligence Fundamentals(AI-900)Microsoft Azure Services and Data Fundamentals(AZ-900, DP-900)DevOps, Test Infrastructure automation and GitAgile Scrum and Project ManagementAREA OF INTEREST:Automation, DevOps and cloud technologiesGen-AI (NLP, ML and Custom Vision) use case in testing and validation.
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