Madan Lal

Angestellt, Senior, SAP
Munich, Deutschland

Fähigkeiten und Kenntnisse

Java
Spring Framework
Apache Kafka
Kubernetes
Docker
Helm
Software Engineering
JIRA
Software Test Automation
Algorithm Development
Machine Learning
Data Science
Test Automation
Selenium
Data Structures
Git
Slack API
Node.js
JSON
REST
XML
Agile Development
Go (programming language)
Software
C#
opengl
Entity
Web
Mobile
UI/UX
Photoshop
Cloud
Scrum
NodeJS
Express
.Net
WCF
Appium
Automation

Werdegang

Berufserfahrung von Madan Lal

  • Bis heute 3 Jahre und 8 Monate, seit Jan. 2022

    Senior

    SAP
  • 2 Jahre, Jan. 2020 - Dez. 2021

    Software Engineer

    SAP
  • 8 Monate, März 2019 - Okt. 2019

    Software Developer

    knowis AG

    Responsible for developing secure and robust micro-services for domain-driven-design based banking software using spring boot, Java 8 and deployment of micro-services using Gitlab's continuous delivery pipelines on Kubernetes and Opneshift. Technologies: Java 8, Spring Boot, Spring Cloud, Spring Security, Maven, Keycloak, Swagger UI, Apache Kafka streams, Kibana, Gitlab, CI/CD, DDD, Docker, Kubernetes, Openshift, Helm, Golang, IBM cloud public and private, Ansible playbook

  • 10 Monate, Mai 2018 - Feb. 2019

    Software Developer - Working Student

    knowis AG

    Responsible for developing Devops plugins for IBM cloud that mainly include automating cloud resource management for complex banking systems using Golang. Primary working on IBM cloud public and private along with kubernetes, helm and other container services. On other hand, continuously working with GitLab CI pipelines to improve the stability of software releases and also contributing to Java Spring based components as part of complete life-cycle

  • 1 Jahr und 5 Monate, Juni 2016 - Okt. 2017

    Software Development Engineer

    Sofy.ai (Quantyzd)

    • Developed an autonomous bot to traverse the mobile applications using Appium on Java and sending the relevant data to server that includes CrashData, Screenshots, Performance testing, auto test case generation and their status etc. • Implemented docker containers for isolation of test runs, containers are pre-configured with all the configuration required to run traversal bots. • Integration of Slack with Sofy. From within slack one can stage test runs for Sofy and get the results back in slack chat.

Ausbildung von Madan Lal

  • 2 Jahre und 4 Monate, Sep. 2017 - Dez. 2019

    Computer Science

    University of Passau

  • 3 Jahre und 10 Monate, Aug. 2012 - Mai 2016

    Computer Science

    National University of Computer and Emerging Sciences (formerly FAST)

    Software Engineering

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

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