Infrastructure Development Engineer - Perimeter

Seattle, WA /
Cloud & Connectivity – Seattle Hub (4089) /
Full-time
Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.

Mercedes-Benz Seattle Hub is looking for an experienced Infrastructure Development Engineer to grow their career at our new office in Seattle. We are a geo-diverse team, developing an infrastructure platform to ensure operational stability for our car to cloud connectivity.

The Cloud Transport & Networking team focuses on building, maintaining, and automating the cloud infrastructure for car connectivity to services that support our cloud business. As a platform, we provide metrics and data around services interacting with the car. We make it easy to find and fix connectivity problems. We strive to continuously improve stability, scalability and performance of the entire fleet, while lowering cost. We are engineers, developers, architects and SMEs with opportunities to develop software to support our charter.

Job Responsibilties:

    • Take product design specifications and collaborate with teammates to deliver a well-defined design, implementation, and testable solution
    • Demonstrate knowledge of multiple cloud environments and deployment methodologies
    • Cultivate relationships with developers, engineers, and other technology partners to understand their infrastructure needs and deliver solutions
    • Evangelize best practices and methodologies
    • Identify opportunities to automate processes and procedures
    • Provide scalable engineering 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, virtualized, and serverless infrastructure hosted within cloud platforms
    • Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio
    • Understand concepts of large enterprise WAN and cloud routing design and principles
    • Basic understanding of network infrastructure services and protocols. (DNS, NTP, MQTT, etc.)

Minimum Qualifications:

    • Bachelor’s Degree in Computer Science OR Bachelor’s Degree in a related field
    • 2-4 years of professional experience with DevOps practices
    • Fluency in one or more programming or scripting languages, with the ability to review and understand workflow. Some level of proficiency in error analysis
    • 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 tradeoffs involved with different solutions.
    • Effective experience with Cloud-based Architecture, Services, and Provisioning
    • Proficiency in the CI/CD process, including effective understanding of pipelines, provisioning, testing, and troubleshooting
    • Fundamental understanding of IaC (Infrastructure as Code), along with effective experience with at least one tool in this area
    • Understanding of instrumentation, logging levels, and system/software troubleshooting
    • Functional 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
    • Valid US Driver's License

Preferred Qualifications:

    • Experience working in an Agile organization
    • Scripting skills (PowerShell, Python, Bash)
    • 2+ years of experience with Amazon Web Services (AWS), Microsoft Azure or other Major cloud based technologies including administration and automation of tasks
    • Can use VM based infrastructure as substitute skill
    • Experience with Kubernetes or similar container platform

    • Bonus skills, not Required:
    • Exposure to Juniper, Palo Alto, F5 appliances
    • Experience working with Android OS CDK
    • Experience working with embedded device firmware and support
    • Understanding of mobile network architectures and concepts
Why should you apply?
 
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. Our benefits include medical, dental and vision insurance, 401k savings plan, tuition and fitness reimbursement programs and much more.  We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
 
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce.
 
MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location.  MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Thank you for your interest in Mercedes-Benz Research & Development North America. Please be aware the impact of COVID-19 could increase the amount of time it takes our HR and Hiring Team to process your application. We apologize for any inconvenience this may cause. We are dedicated to the health and safety of our employees and candidates. We appreciate your patience during this time.

Mercedes-Benz Research and Development North America, Inc.
 
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