Trainee Conversion
5 days ago
We build solutions, which touches and defines the experience of more than millions of Mercedes-Benz customers who use our connected car functions.
We invest in building resilient and scalable solutions in the cloud using best development practices and state of the art cloud platforms.
We believe if you build the best product then you don't have to worry about waking up in the middle of the night to address an incident
We collaborate with colleagues from various delivery hubs of Daimler to deliver cutting edge in car experience for our customers.
We own end-to-end delivery responsibilities and promote/adopt "You build it you run it" culture.
We love polyglot programming and always choose the right technology and language to fit the need.
Mercedes-Benz AG, a pioneer of automotive engineering, sees shaping the future of mobility in a safe and sustainable way as both a motivation and obligation. Mercedes-Benz is consistently implementing its strategy to transform itself toward a fully electric and software-driven future.
Mercedes-Benz Research and Development India (MBRDI) is the largest research and development center for Mercedes-Benz Group AG outside of Germany. MBRDI’s expertise includes developing new technologies like connected, autonomous and electric in the mobility world - driving digital acceleration, leading excellence in-car software and paving the way for sustainable mobility. MBRDI currently employs over 0 professionals in the field of engineering, digitalisation, testing and simulation, and data science, with people at the heart of our culture. Our philosophy - When every individual shines in his or her own capabilities, we shine
QualifikationenEducation:
B.E/ BTech in Computer Science.
Mandatory Skills:
Expertise in at least one popular Python Backend Development framework
Experience in micro services architecture development, Cloud Backend API development
Preferred Skills:
Strong knowledge of JSON data handling, AWS services and their working
Knowledge of SQS and Step Functions, AWS IAM, CloudFront
Good understanding of identity management and authentication protocols such as OAuth 2.0, OIDC.
Knowledge of object-relational mapping (ORM) with exposure to frameworks like SQLAlchemyor Django ORM
Knowledge of DynamoDB
Knowledge of API Gateway, RESTful/SOAP APIs build and design
Build solutions using AWS Cloud Native patterns
Ability to integrate multiple data sources into a single system
Familiarity with testing tools
Knowledge on RDS, AWS AppSync
Knowledge of AWS ECS, VPC
Ability to collaborate on projects and work independently when required
A deep understanding and multi-process architecture and the threading limitations of Python
AWS Expertise
Good understanding of compute, storage, network components including backup, monitoring and DR environment requirements.
Experience and understanding of large-scale applications portfolio in enterprise-wide environment required.
Domain expertise of cloud application development solutions (e.g. IaaS, Serverless, APIManagement), container orchestration (e.g. Kubernetes, Cloud Foundry), continuous integration technologies (e.g. Jenkins, Spinnaker, AWS for DevOps, Chef, Puppet), web application server technologies, cloud application design, software architecture and practices(design / development / deployment , Agile, SCRUM, ALM), breadth of technical experience, and technical aptitude to learn and adjust to new technologies and cloud trends
AWS Services (EC2, RDS, S3, VPCs and all core services, Lambda, API Gateway, CloudFormation, Fargate, CloudWatch, Route...), CI CD (AWS stack, CircleCI, GitHub, Travis...)
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Trainee Conversion
5 months ago
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Trainee Conversion
2 months ago
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