AI ML Data Engineer for ADAS Sr Full Stack Developer

We are in the exciting and cutting-edge space of automated driving. We are looking for passionate and experienced Fullstack/Backend Development engineers with Cloud & DevOps experience who would join us in this journey.  Requirements: Strong skills in python coding (mandatory)Good knowledge in object-oriented programmingPython Backend frameworks like Flask, Django or JavaScriptBackend Frameworks like Express JS/ Node.JS, with ability to switch frameworks as per need.Design, develop, and manage Kafka-based data pipelineConfigure, deploy, and maintain Kafka clusterTroubleshoot Kafka related issues Strong Component / System level architecture design and definitionHands on experience with databases (e.g., MySQL, MongoDB) and good exposure to web servers (e.g., Apache) Hands on exp. with Cloud application development assignments with strong exposure to microservices / APIs(Preferably Azure)/ Event Based Architecture Proficiency in cloud-based DevOps practices, specifically in Terraform, OpenShiftHands on experience with Statistical analysis & visualization (matplotlib, seaborn, d3.js.,) Hands on with code quality practices of Lint, SonarQube, Apache JMeterConfiguration management with GIT – Pull Requests, Branching, repo handling Hands on experience in CI/CD practices (Docker,Kubernetes,Jenkins),working with Linux commands, building and deploying software Good to have skills: Experience working on Data Driven projects using AI/ML based solutions and frameworks. Exposure to basics of UXAgile mindsetStrong communication skills Qualifications At least a Bachelors/ Master of Engineering in Computer Science or Electrical Sciences or related areas.Relevant experience of 3-7 years, in web application development on cloud   BE/BTech/ME/Mtech in Computer Science/Electrical/Electronics/or allied brances 3-7