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Member of Technical Staff

Haven't found your dream job yet? If you are looking for new career opportunities and can't seem to find the right one in our listed job advertisements, simply submit your application. Even if we are not currently offering any pos...

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Ambrosys Careers Potsdam (hybrid) Source published Oct 6, 2022 Verified 10 minutes ago
✓ 92% verification score · Source: Ambrosys Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Member of Technical Staff at Ambrosys Careers
EmploymentPermanent · Full Or Part Time
DepartmentProduct & Tech

Overview

Haven't found your dream job yet? If you are looking for new career opportunities and can't seem to find the right one in our listed job advertisements, simply submit your application. Even if we are not currently offering any positions that tailor with your career or job requirements, we would be happy to hear from you. Please select the job title of your interest, fill out the form and attach your application documents.

Full job description

Description

About The Position

Haven't found your dream job yet?

If you are looking for new career opportunities and can't seem to find the right one in our listed job advertisements, simply submit your application. Even if we are not currently offering any positions that tailor with your career or job requirements, we would be happy to hear from you. Please select the job title of your interest, fill out the form and attach your application documents.

Qualifications And Requirements

  • you like working in dynamic, cross-functional & international teams
  • are motivated and passionate about what you do
  • have self-driven personality
  • thrive in challenging work environment
  • enjoy diverse tasks, flat hierarchies and open communication channels
  • speak English (German is a plus)
  • Bachelor’s degree in a relevant field (such as Business, STEM, or a related area). Higher degrees are preferred.

Domain Our domain spans traffic analysis, tolling systems, and applied machine learning and AI, focusing on data-driven solutions for complex mobility challenges.

Impact Work on smart cities, AI-driven systems, and sustainable mobility solutions. Engage with leading industry events and communities. Be part of an AI-first culture where you can experiment with tools and actively modernize processes.

Our team includes people contributing in a variety of roles, such as:

  • Software developers building applications, systems, and APIs.
  • DevOps/SRE professionals managing cloud infrastructure, deployments, and reliability.
  • ML engineers developing machine learning models and data-driven solutions.
  • Data analysts analyzing large datasets to uncover trends, patterns, and anomalies
  • Solution architects and technical consultants designing and implementing systems.
  • Business analysts bridging technical solutions and business needs.We work with modern backend and cloud-native technologies to build scalable, data-intensive systems, with a strong focus on streaming technologies and user-facing real-time analytics.

If you believe your skills or background could contribute to our company in any way, we encourage you to submit an application. We’d love to hear from you!

Why Us?

As a new member of our team, you can look forward to:

  • Exciting and diverse tasks and close collaboration in small teams
  • A flexible work schedule and location, with up to 4 days a week from home
  • The ability to work from abroad for a total of 10 days per year
  • A personal training and career development plan, including a generous €1,500 yearly learning budget for further education
  • Regular company and team events, including our monthly meetup to connect, exchange ideas, and have fun together
  • A flat hierarchy and open communication channels with direct access to the CEO
  • A dedicated feel-good manager providing best-in-town coffee, refreshments, fresh fruit/vegetables, snacks, and a monthly company breakfast
  • Optional bike leasing with a discount for a stress-free commute
  • A subsidised Deutschlandticket for easy commuting
  • Additional days off for special occasions or if your child is ill

As an equal opportunities employer, we welcome and value diversity and inclusivity. We encourage applications from all qualified individuals, regardless of gender, sexual orientation, origin, religion, belief, or age.

Important note: We manage our recruitment process entirely in-house and do not collaborate with external recruiters. Please refrain from sending unsolicited profiles or outreach.

Requirements and qualifications

  • you like working in dynamic, cross-functional & international teams
  • are motivated and passionate about what you do
  • have self-driven personality
  • thrive in challenging work environment
  • enjoy diverse tasks, flat hierarchies and open communication channels
  • speak English (German is a plus)
  • Bachelor’s degree in a relevant field (such as Business, STEM, or a related area). Higher degrees are preferred.

Domain Our domain spans traffic analysis, tolling systems, and applied machine learning and AI, focusing on data-driven solutions for complex mobility challenges.

Impact Work on smart cities, AI-driven systems, and sustainable mobility solutions. Engage with leading industry events and communities. Be part of an AI-first culture where you can experiment with tools and actively modernize processes.

Our team includes people contributing in a variety of roles, such as:

  • Software developers building applications, systems, and APIs.
  • DevOps/SRE professionals managing cloud infrastructure, deployments, and reliability.
  • ML engineers developing machine learning models and data-driven solutions.
  • Data analysts analyzing large datasets to uncover trends, patterns, and anomalies
  • Solution architects and technical consultants designing and implementing systems.
  • Business analysts bridging technical solutions and business needs.We work with modern backend and cloud-native technologies to build scalable, data-intensive systems, with a strong focus on streaming technologies and user-facing real-time analytics.

If you believe your skills or background could contribute to our company in any way, we encourage you to submit an application. We’d love to hear from you!

Requirements & qualifications

  • you like working in dynamic, cross-functional & international teams
  • are motivated and passionate about what you do
  • have self-driven personality
  • thrive in challenging work environment
  • enjoy diverse tasks, flat hierarchies and open communication channels
  • speak English (German is a plus)
  • Bachelor’s degree in a relevant field (such as Business, STEM, or a related area). Higher degrees are preferred.

Domain Our domain spans traffic analysis, tolling systems, and applied machine learning and AI, focusing on data-driven solutions for complex mobility challenges.

Impact Work on smart cities, AI-driven systems, and sustainable mobility solutions. Engage with leading industry events and communities. Be part of an AI-first culture where you can experiment with tools and actively modernize processes.

Our team includes people contributing in a variety of roles, such as:

  • Software developers building applications, systems, and APIs.
  • DevOps/SRE professionals managing cloud infrastructure, deployments, and reliability.
  • ML engineers developing machine learning models and data-driven solutions.
  • Data analysts analyzing large datasets to uncover trends, patterns, and anomalies
  • Solution architects and technical consultants designing and implementing systems.
  • Business analysts bridging technical solutions and business needs.We work with modern backend and cloud-native technologies to build scalable, data-intensive systems, with a strong focus on streaming technologies and user-facing real-time analytics.

If you believe your skills or background could contribute to our company in any way, we encourage you to submit an application. We’d love to hear from you!

Tips for this job

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Verification notes

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