Systems Development Engineer, Customer Deployments, Cloud

vor 15 Stunden


Munich, Bayern, Deutschland Google Vollzeit 60.000 € - 120.000 € pro Jahr
Minimum qualifications:
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 3 years of experience with systems automation, and with systems design and implementation and technical infrastructure (e.g., deployment, maintenance, troubleshooting).
  • Experience in TCP/IP and networking concepts (PXE boot, Subnets, VLANs, Jumbo Frames, LACP, NIC Teaming, Unicast/Broadcast/Multicast, ACLs, DNS, DHCP, SSH, etc.) and in one or more areas of infrastructure: Linux, Kubernetes, Networking, Storage, etc.
  • Due to the sensitive nature of this role, candidates must be able to obtain and maintain a Level 2 security clearance (SÜ2) under the German Classification Act (SÜG).
Preferred qualifications:
  • Experience as a Customer Solution Engineer.
  • Experience in scripting (e.g., Bash, Perl, Python, Ruby, etc.) to help with automation of routine tasks.
  • Experience in Site Reliability Engineer or IT production systems engineering.
  • Understanding of physical server, storage and network devices.
  • Ability to travel internationally up to 25% of the time.
  • Excellent relationship-building skills and the ability to empathize with customers.
About the job:
Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don't just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it's hard to control what you can't measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

As a Systems Development Engineer, you will be responsible for deploying Google Distributed Cloud Hosted (GDCH) solutions at customer sites as well as internal reference deployments. You will build expertise in deploying and operating GDCH solutions.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities:
  • Troubleshoot and resolve day-to-day Infrastructure issues like Network, Storage, Servers,OS, Kubernetes, etc.
  • Collaborate with customers and internal development organizations to accomplish shared goals.
  • Deploy to Customer, Partner, and Internal team environments with training that require international travel.
  • Train Google partners through train-the-trainer programs, equipping them with the knowledge and skills to effectively conduct customer deployments.
  • Support escalations from client deployments and internal reference deployments through participation in the 24x7 on-call rotation.


  • Munich, Bayern, Deutschland Google Vollzeit 80.000 € - 120.000 € pro Jahr

    Minimum qualifications:Bachelor's degree in Computer Science or equivalent practical experience.5 years of experience working in production distributed environments.Experience in TCP/IP and networking concepts (PXE boot, Subnets, VLANs, Jumbo Frames, LACP, NIC Teaming, Unicast/Broadcast/Multicast, ACLs, DNS, DHCP, SSH, etc.).Experience in one of the areas of...


  • Munich, Bayern, Deutschland Google Vollzeit 80.000 € - 120.000 € pro Jahr

    Minimum qualifications:Bachelor's degree in Computer Science or equivalent practical experience.8 years of experience working in production distributed environments.Experience in TCP/IP and networking concepts (PXE boot, Subnets, VLANs, Jumbo Frames, LACP, NIC Teaming, Unicast/Broadcast/Multicast, ACLs, DNS, DHCP, SSH, etc.).Experience in one of the areas of...


  • Munich, Bayern, Deutschland VoiceLine Vollzeit 90.000 € - 120.000 € pro Jahr

    About UsVoiceLine is an AI assistant for sales teams. We help our customers capture high-quality data with minimal effort, integrate it seamlessly into their CRM, and provide insights that drive revenue. We are VC-funded, based in Munich (Glockenbachviertel) and growing rapidly with a variety of customers in the German SME and enterprise segment.Your...


  • Munich, Bayern, Deutschland Allianz Insurance Vollzeit 60.000 € - 120.000 € pro Jahr

    Key responsibilitiesAs an Forward Deployment Engineer within Advanced Analytics (DA3), Chief Data Office Area - Allianz Partners, you report to the Head of Advanced Analytics. You embed with internal business units and product teams to turn AI opportunities into production outcomes.You scope on real workflows, prototype quickly, and ship full-stack...


  • Munich, Bayern, Deutschland AZGROUPPROD Vollzeit 80.000 € - 120.000 € pro Jahr

    Key responsibilitiesAs an Forward Deployment Engineer within Advanced Analytics (DA3), Chief Data Office Area - Allianz Partners, you report to the Head of Advanced Analytics. You embed with internal business units and product teams to turn AI opportunities into production outcomes.You scope on real workflows, prototype quickly, and ship full-stack...

  • Cloud Engineer

    Vor 6 Tagen


    Munich, Bayern, Deutschland TeleClinic GmbH Vollzeit 80.000 € - 100.000 € pro Jahr

    We want to enable the access to digital medical consultation for everyone in Germany. Really for everyone To reach that, we are building the leading on-demand platform for telemedicine. And your impact matters.Are you seeking more than just a job, but a meaningful mission that fills you with pride? Welcome We are TeleClinic, Germany's leading telemedicine...


  • Munich, Bayern, Deutschland Devoteam | AWS Partner Vollzeit 45.000 € - 65.000 € pro Jahr

    Wir fördern Dein persönliches Wachstum, gemeinsamen Erfolg und neue Innovationen.Mit über 25 Jahren Erfahrung, mehr als Tech-und Business Leadern weltweit und rund 5.000 unterschiedlichen Zertifizierungen sind wir ein internationales technologieungebundenes Beratungsunternehmen mit Schwerpunkt auf digitaler Strategie, Plattformtechnologien,...


  • Munich, Bayern, Deutschland Devoteam Vollzeit 40.000 € - 60.000 € pro Jahr

    Unternehmensbeschreibung Wir fördern Dein persönliches Wachstum, gemeinsamen Erfolg und neue Innovationen. Mit über 25 Jahren Erfahrung, mehr als Tech-und Business Leadern weltweit und rund 5.000 unterschiedlichen Zertifizierungen sind wir ein internationales technologieungebundenes Beratungsunternehmen mit Schwerpunkt auf digitaler Strategie,...

  • Cloud Engineer

    vor 12 Stunden


    Munich, Bayern, Deutschland TeleClinic Vollzeit 60.000 € - 120.000 € pro Jahr

    We want to enable the access to digital medical consultation for everyone in Germany. Really for everyone To reach that, we are building the leading on-demand platform for telemedicine. And your impact matters.Are you seeking more than just a job, but a meaningful mission that fills you with pride?  Welcome We are TeleClinic, Germany's leading telemedicine...


  • Munich, Bayern, Deutschland Agile Robots SE Vollzeit 120.000 € - 150.000 € pro Jahr

    About the roleAs a Senior ML Platform Engineer, you will take ownership of designing, building, and maintaining the infrastructure that powers our Generative AI framework. You will architect scalable, secure ML environments across development, testing, and production, while automating the entire ML lifecycle—from data ingestion and model training to...