Cloud Platform Engineering Focuses on building, maintaining, and automating the infrastructure for functions & applications that support our cloud & connectivity platform.Key responsibilities

· Independently take product design specifications and deliver well-defined design, implementation, and testable solution

· Demonstrate knowledge of multiple cloud environments and deployment methodologies

· Cultivate relationships with developers, engineers (geo-diverse teams) to understand their infrastructure needs and deliver solutions

· Provide mentorship and technical direction to associate team-members

· Evangelize cloud native best practices and methodologies

· Identify opportunities to automate processes and procedures

· Provide scalable engineering and supportability deliverables, resulting in products and services with more efficiency, lower risk, and reduced customer impact

· Identify potential security and performance issues at multiple layers of deployment, from hardware, operating environment, network and application

· Support deployment of Kubernetes infrastructure and containers hosted within cloud platforms

· Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio

Experience & Skills

· 4+ years of experience with Amazon Web Services (AWS), Microsoft Azure or other Major cloud based technologies including administration and scripting of tasks

· CKA certification is a plus

· Fluency in one or more programming or scripting languages, with the ability to review and understand workflow and language. Some level of proficiency in error analysis

· Linux/Unix based machine set up for all 'nix command line functions

· Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions

· Proficiency with Terraform, which is necessary to manage or add anything related to our infrastructure

· Proficiency with Kubernetes/containers to perform basic troubleshooting, deployment, and onboarding tasks

· Proficiency with Kubernetes internals to understand security, services, and certificate management (this is critical for effective troubleshooting)

· Proficiency with Kubernetes networking concepts

· Proficiency with DevSecOps leveraging ADO, GitHub & GitLab

· Proficiency with Python, to effectively understand and contribute to infrastructure code

· General understanding of Azure, AWS Cloud, including all managed services & offerings of the cloud service providers

· Proficiency with Datadog, as our primary platform for telemetry & operations

· Understanding of the infrastructure lifecycle,



from requirements to design, to implementation, testing, environment set-up, multi-phase builds, and deployment approaches

· Understanding of Configuration Management approaches, including trade-offs involved with different solutions

· Effective experience with Cloud-based Architecture, Services, and Provisioning

· Understanding of instrumentation, logging levels, and system/software troubleshooting. Advanced understanding of Operating System components

· Advanced understanding of Operating System components

· Strong written and oral communications skills with the ability to clearly articulate complex concepts

· Excellent troubleshooting skills, with analytical, creative, and innovate approaches to solving problems with the drive to see an issue through to conclusion

Qualifications

Cloud Platform Engineering Focuses on building, maintaining, and automating the infrastructure for functions & applications that support our cloud & connectivity platform.Key responsibilities

· Independently take product design specifications and deliver well-defined design, implementation, and testable solution

· Demonstrate knowledge of multiple cloud environments and deployment methodologies

· Cultivate relationships with developers, engineers (geo-diverse teams) to understand their infrastructure needs and deliver solutions

· Provide mentorship and technical direction to associate team-members

· Evangelize cloud native best practices and methodologies

· Identify opportunities to automate processes and procedures

· Provide scalable engineering and supportability deliverables, resulting in products and services with more efficiency, lower risk, and reduced customer impact

· Identify potential security and performance issues at multiple layers of deployment, from hardware, operating environment, network and application

· Support deployment of Kubernetes infrastructure and containers hosted within cloud platforms

· Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio

Experience & Skills

· 4+ years of experience with Amazon Web Services (AWS), Microsoft Azure or other Major cloud based technologies including administration and scripting of tasks





· CKA certification is a plus

· Fluency in one or more programming or scripting languages, with the ability to review and understand workflow and language. Some level of proficiency in error analysis

· Linux/Unix based machine set up for all 'nix command line functions

· Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions

· Proficiency with Terraform, which is necessary to manage or add anything related to our infrastructure

· Proficiency with Kubernetes/containers to perform basic troubleshooting, deployment, and onboarding tasks

· Proficiency with Kubernetes internals to understand security, services, and certificate management (this is critical for effective troubleshooting)

· Proficiency with Kubernetes networking concepts

· Proficiency with DevSecOps leveraging ADO, GitHub & GitLab

· Proficiency with Python, to effectively understand and contribute to infrastructure code

· General understanding of Azure, AWS Cloud, including all managed services & offerings of the cloud service providers

· Proficiency with Datadog, as our primary platform for telemetry & operations

· Understanding of the infrastructure lifecycle, from requirements to design, to implementation, testing, setting set-up, multi-phase builds, and deployment approaches

· Understanding of Configuration Management approaches, including trade-offs involved with different solutions

· Effective experience with Cloud-based Architecture, Services, and Provisioning

· Understanding of instrumentation, logging levels, and system/software troubleshooting. Advanced understanding of Operating System components

· Advanced understanding of Operating System components

· Strong written and oral communications skills with the ability to clearly articulate complex concepts

· Excellent troubleshooting skills, with analytical, creative, and innovate approaches to solving problems with the drive to see an issue through to conclusion

Benefits

Mitarbeiterrabatte möglich

Gesundheitsmaßnahmen

Mitarbeiterhandy möglich

Essenszulagen

Betriebliche Altersversorgung

Hybrides Arbeiten möglich

Mobilitätsangebote

Mitarbeiter Events

Coaching

Flexible Arbeitszeit möglich

Parkplatz

Betriebsarzt

Gute Anbindung

Barrierefreiheit

Kinderbetreuung

Kantine, Café

ContactMercedes-Benz Research and Development India Private Limited

Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails to location

MBRDI Recruitment E-Mail: [email protected]

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