Jobs / Germany / Applied

Applied

Software Engineer - Cloud Infrastructure

Munich Posted today

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Skills this job asks for

AWSGoogle CloudAzureCI/CDPythonC++KubernetesGoJavaReactDocker

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Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934).
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Can’t check pay against the visa rules
No salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934). Source: https://www.make-it-in-germany.com/en/visa-residence/types/eu-blue-card, rules effective 2026-01-01.

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the role

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the role Modern autonomous system development is heavily reliant on daily, realistic, and large scale simulations to test constant software changes. Join our cloud platform team to ensure we're building efficient and reliable systems for managing these large-scale workloads. As a cloud infrastructure engineer you'll be improving the development and deployment of our large-scale simulation infrastructure. The compute and data generation scale of our product workloads pushes the boundaries of standard cluster deployments, and you'll be at the forefront of helping build out and ensure reliability of this system. All while ensuring the deployment infrastructure is interoperable with various custom autonomy software and infrastructure used across the world. You will work closely across the entirety of the engineering team to ensure the operational success of our backend and a variety of customer deployments. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied Intuition, you will: • Create and implement best practices for deploying and maintaining software for multiple customers across all three major cloud providers (AWS, GCP, Azure) with minimal downtime and high reliability • Monitor Applied Intuition software on deployed machines and architect solutions to any bottlenecks that are encountered • Improve developer efficiency by building internal tooling and optimizing our CI/CD systems We're looking for someone who has: • A Bachelor's degree in Computer Science, Software Engineering, or equivalent • 5+ years of experience in a software engineering role working on infrastructure, monitoring, or a large scale software product • 5+ years of coding experience from shell scripting (e.g., Bash) to higher-level languages (e.g., Python, C++) • Experience with microservice orchestration frameworks such as Kubernetes • Experience in the following: Golang, Python, Java, React, and C++ • Experience working with containerized systems (e.g., Docker) Nice to have: • Experience utilizing open source tooling • Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every quali

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