DevOps Engineer for Automated Driving, Cluj/Bucharest

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Employer: Bosch Romania
Domain:
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • Cluj Napoca
  • Updated at: 02.11.2022
    Remote work: On-site

    Company Description

    At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Whether in areas of Automated Driving, Electric & Connected Mobility, IoT or Connectivity, our ideas make driving safer and more comfortable than ever before. This is only possible with the help of our colleagues from Bosch Engineering Center - with offices in Cluj and Bucharest - specialized in software, hardware & mechanics and reliability engineering. We work closely together with other international mobility development teams and with the local Bosch Cluj Plant in order to offer unique products and AIoT solutions to our clients from around the world. 

    So, are you ready to shape the future of the mobility together with us? Let us tell you more. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

    Qualifications

    • You have at least 2-3 years of experience in Cloud Infrastructure or DevOps roles;
    •  You have good knowledge of Linux operating systems;
    • You have strong expertise with public cloud platform  (Azure is a plus) and agile methodologies;
    • You have hands on experience with IaaC tools like Terraform, ARM;
    • You have hands on experience and good understand of Docker, Kubernetes and cloud based solutions;
    •  You have experience in implementing CI/CD Pipelines and hands on experience with  Azure DevOps or Jenkins;
    • You have very good understanding of Continuous Delivery and DevOps ways of working;
    • You have proven experience in operations for Java, Python cloud based solutions;
    •  Proficiency in English is mandatory. German know-how is a plus;

     Technology stack:

    Technologies we use: C++, C#, .NET, Java, Spring Boot, Scala, Python, Docker, Kubernetes, Azure suite (eg. Databricks, Azure Devops, ), AWS suite (eg. AWS Lambda), CI/CD pipelines (eg. Jenkins, Concourse, GitLab, GitHub Enterprise), IaaC tools (Terraform, ARM), machine learning related (Tesorflow, Keras, CUDA).

    Nice to have:

    • C++ Programming skills are a plus;
    • A public Cloud / Kubernetes Certification(s);
    • Relevant experience in working in high-performant agile software teams with a DevOps mindset;
    • Willingness to travel;

     You are a perfect match for our team if:

    • You are a very good communicator, capable to connect the various stakeholders;
    • You have excellent at prioritization, time management, excellent follow-through skills;
    • You are a strong team player;
    • You show passion for new technologies and innovation;


    Additional Information

    #LikeABosch Benefits:

    Your work-life balance is valuable to us, so we offer you:

    • Annual leave, because work-life balance is essential to us;   
    • Flexible working hours, but if you want to work from somewhere else, feel free, our Home Office program helps you do that; 

    Your health and well-being is important to us, so we have you covered:

    • Medical subscription
    • Accident insurance
    • Sport activities and well-being initiatives

    We believe in a Life-Long Learning approach, so you can take advantage of:

    • Technical and soft skills trainings;
    • Access to e-learning platforms
    • Local and Global career development programs
    • Opportunity to attend conferences
    • Bookster subscription

    You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

    On top of these, we are offering:

    • A monthly budget which can be used for several different services on an online benefit platform
    • Annual bonus
    • Lunch discounts
    • Relocation bonus

    Ready to work #LikeABosch?

    We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members. You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

    Job Description

    We are currently looking for a DevOps Engineer for Automated Driving o work within our team.

    You will be part of the team that develops technology solutions for Big Data Management in driver assistance and autonomous driving, creating internal tools, cloud functionalities for car fleet management or high definition maps with the final goal of improving the algorithms on the sensors.

    You will cover topics in the area of mobility and AIoT like data engineering for automated drivingconnected validation for automated driving, synthetic video scenes, vehicle services or high definition maps.

    In your role you will:

    • Plan and implement a stable, highly available, high-performance and secure infrastructure - using a multiservice architecture;
    • Specification, development and operation of serverless (AWS Lambda) and containerized (Spring Boot) cloud micro services in the area of mobility and AIoT (Scala / Java / Python / ...) in public cloud environments (AWS, Azure);
    • Operation of the services ('You build it, you run it') including monitoring, incident management, maintenance of infrastructure as a code (IaaC), analysis and resolving of bugs or security scan findings;
    • Analysis of existing services (AWS, Azure, extern) and assessment regarding usability for our solutions with the goal of system automation;
    • Work close with architects and data analysts and create scripts and tools for process automation;
    • Automate testing environment and manage system resources with IaaC
    • Development and maintenance of our CI/CD environment and pipelines (Jenkins , Azure DevOps, Concourse, GitLab, GitHub Enterprise, ...);
    • Operating ETL(Extract Transform Load) pipelines;
    • Assess and choose cloud specific services for data science (Databricks)
    • Working with Big Data;
    • Administer services and virtual machines and ensure communication between them in cloud;
    • Leave a mark by giving training and coaching others;

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