8 beste Stellen als python developer in dachau – aktuell auf Personalsuche

Software Engineer II, Google Cloud
Google —München
- 86.000 € – 88.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
1 Tag
AI Systems Engineer (m/f/d)
welevel GmbH —München
- Vollzeit
- Umzugskostenzuschuss
4 Std.
Product Engineer
Finto —München
- 30.000 € – 130.000 € pro Jahr
- Vollzeit
Solutions Architect
MongoDB —München
- Homeoffice
- Bachelor
- Ohne Hochschulabschluss
- Mit Reiseanteil
AI Test Engineer (m/f/d)
Harman International —Garching bei München
- Informatik
- Master
- Bachelor
12 Std.
AI Developer Intern (m/w/d)
TRUSTEQ GmbH —München
- Vollzeit
- Datenanalyse
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
3 Std.
Technical Program Manager, AI Systems
Google —München
- 128.000 € – 131.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
8 Std.
AI (Senior) Developer (m/w/d)
TRUSTEQ GmbH —München
- Vollzeit
- Datenanalyse
- Java
- Master
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
2 Std.

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Software Engineer II, Google Cloud

Google -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
86.000 € – 88.000 € pro Jahr
vor 1 Tag

Qualifikationen

Doktorat
Informatik
Datenstrukturen
Master
Bachelor

Vollständige Stellenbeschreibung

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures and algorithms.
1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.
Experience in backend coding languages such as GOLang, Rust, or Java.
Experience in ML model coding languages (e.g., Python).

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €86000 - €88000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and develop the features and components to enable Resource Quality Provisioning (RQP), a highly impactful project to make Google's use of data centers even more efficient.
Embed within the Spatial Flexibility team and collaborate closely with teams in the Flex space and Resource Optima, utilizing Java and Go as primary programming languages.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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