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Sahil KalraSK

Sahil Kalra

Senior Software Developer: Python Django NodeJS

800 €/Tag
Munich, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Sahil

9+ years of professional experience working as a Software Developer, Lead Engineer, Scrum Master and Product Owner on 20+ projects. Specialised in backend software development using Python and NodeJS. Worked extensively with Django and ExpressJS frameworks to create REST APIs. Experienced in Gitlab CI/CD, AWS, Docker and Kubernetes
  • Englisch

    Verhandlungssicher

  • Deutsch

    Konversationssicher

  • Hindi

    Muttersprachlich oder zweisprachig

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • Self-Employed
    Freelance IT consultant
    DIGITALAGENTUREN & IT-CONSULTING
    Oktober 2022 - Heute (3 Jahre und 8 Monate)
    Munich, Deutschland
    Technologies: Python, Django, NodeJS, AWS, Ansible, Kubernetes
  • Motius
    Project Owner
    DIGITALAGENTUREN & IT-CONSULTING
    Juli 2019 - August 2022 (3 Jahre und 1 Monat)
    Munich, Germany
    Tech stack: NodeJS, ExpressJS, MongoDB, Mocha, ReactJS, Gitlab CI/CD, Python, Django, Django REST Framework, PostgreSQL, AWS, Azure, Rancher
    Worked as a Lead engineer on 5 projects in production
    Worked as a scrum master/product owner on 8 projects
    As a Lead engineer my responsibilities included: creating a scalable architecture, gathering requirements, defining quality standards, code review and peer coding sessions
    Maintained 90% test coverage.
    Scaled an application platform from 100 applications per month to 10,000 which supported up to 1 GB file uploads per application
  • Technical University of Munich
    Master Thesis
    Oktober 2018 - April 2019 (6 Monate)
    Munich, Germany
    Developed a fully automated software which deploys Hyperledger Testbed on a Kubernetes cluster. The software sets up virtual machines using Openstack API which are then used to setup a Kubernetes cluster using kubespray. Hyperledger Fabric blockchain network is then deployed on the Kubernetes cluster. All the setups were completely automated and configurable. The testbed was then used for performance testing of the Hyperledger Fabric blockchain and produce automated reports. Technologies used: Ansible Shell & Python scripts for automation, Kubernetes, Hyperledger Fabric, Blockchain contracts were written in NodeJS Source Code (Open source): https://github.com/MSRG/HyperLedgerLab

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Ausbildung und Abschlüsse

  • Master of Science
    Technical University Munich
    2019
    Master of Science - MS, Informatics

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