Technology, Information and Internet

PARTSCLOUD GmbH

11-50

Remote EU/Hybrid in Berlin – SaaS
“Is vibe coding the future of engineering?” That’s the buzz on social media lately, AI everywhere, structure nowhere. 
We’re all in on using AI to work smarter, from automating the boring stuff to speeding up delivery. But we don’t see it replacing solid engineering anytime soon. Clean architecture, scalable systems, and maintainable code still need thoughtful humans behind them. 
If you see AI as a tool, not a shortcut, you’ll feel right at home here.
<h2>Tasks</h2>
What you’ll be working on
Reporting directly to the CTO you’ll join a small but growing founding team of 5, consisting of mostly senior engineers working BE/FE and full stack. You’ll work with data pipelines and have an understanding of DS and DevOps. You don’t have a problem working across the stack when needed and you’ll get involved in all parts of the platform.
<ul>
<li>Backend brilliance: Build and maintain backend services using Python (Django), shaping a scalable platform architecture that powers our frontend and integrates with external systems</li>
<li>Seamless integration: Design, develop, and document RESTful APIs to ensure smooth communication between modules and teams</li>
<li>Data science meets engineering: Implement algorithms for our planning and optimization engine and ensure data flows cleanly with robust ETL pipelines</li>
<li>Clean code, clean data: Import, validate, and transform data efficiently to support forecasting and inventory logic</li>
<li>Ship fast, sleep well: Contribute to our CI/CD pipeline, write meaningful unit and integration tests, and help deploy backend and frontend services with confidence</li>
<li>Own your work: Take initiative, work across the stack when needed, and own features end-to-end in a lean, ambitious team</li>
</ul>
<h2>Requirements</h2>
Who you are
<ul>
<li>You have several years experience working in either a BE position or a data position which included BE Engineering</li>
<li>We are remote first but we are collaborative, if you prefer working silo’d &amp; alone we’re probably not for you</li>
<li>Experience with large platform systems and distributed architectures</li>
<li>Strong data engineering and data science capabilities</li>
<li>Proficiency in Python, Django, REST framework</li>
<li>Entrepreneurial mindset (startups/freelancing experience)</li>
</ul>
Nice to have:
<ul>
<li>Startup or freelance experience • Background in e-commerce, logistics, or finance platforms • Some frontend skills (e.g. reviewing PRs, understanding UI flow) • Experience with ML/AI for forecasting or planning systems</li>
</ul>
<h2>Benefits</h2>
Why should you
<ul>
<li>Your work will result in impact, you will see how you’re moving the needle from a product and growth perspective</li>
<li>A well-funded and fast growing start-up with a disruptive product digitizing a traditional industry</li>
<li>Remote or hybrid in Berlin with a collaborative start-up culture</li>
<li>Great package including VSOP &amp; Unlimited holiday allowance in some locations (Within reason) </li>
<li>Allowance for personal development (Training/Conferences etc)</li>
<li>Support in co working space if you’re feeling a touch of cabin fever (Location dependant)</li>
</ul>
Our Tech Stack in a nutshell
Python/Postgresql/Pandas/Dagster/Vue.js/Docker/Linux servers 
Apply here, everyone will get a response
At PartsCloud, we’re transforming the way service and spare parts teams operate with our innovative, cloud-based software, PartsOS. By streamlining inventory management and fulfilment for industrial spare parts, we help businesses meet the challenges of unpredictable demand, reduce excess inventory, and improve service delivery.
Join us at PartsCloud and be part of a solution that’s future-proofing businesses in a rapidly evolving market!
Follow us on Linkedin here: <a href="https://www.linkedin.com/company/partscloud-gmbh/">Linkedin Page</a>

Remote EU/Hybrid in Berlin – SaaS
“Is vibe coding the future of engineering?” That’s the buzz on social media lately, AI everywhere, structure nowhere. 
We’re all in on using AI to work smarter, from automating the boring stuff to speeding up delivery. But we don’t see it replacing solid engineering anytime soon. Clean architecture, scalable systems, and maintainable code still need thoughtful humans behind them. 
If you see AI as a tool, not a shortcut, you’ll feel right at home here.
<h2>Tasks</h2>
What you’ll be working on
Reporting directly to the CTO you’ll join a small but growing founding team of 5, consisting of mostly senior engineers working BE/FE and full stack. You’ll work with data pipelines and have an understanding of DS and DevOps. You don’t have a problem working across the stack when needed and you’ll get involved in all parts of the platform.
<ul>
<li>Backend brilliance: Build and maintain backend services using Python (Django), shaping a scalable platform architecture that powers our frontend and integrates with external systems</li>
<li>Seamless integration: Design, develop, and document RESTful APIs to ensure smooth communication between modules and teams</li>
<li>Data science meets engineering: Implement algorithms for our planning and optimization engine and ensure data flows cleanly with robust ETL pipelines</li>
<li>Clean code, clean data: Import, validate, and transform data efficiently to support forecasting and inventory logic</li>
<li>Ship fast, sleep well: Contribute to our CI/CD pipeline, write meaningful unit and integration tests, and help deploy backend and frontend services with confidence</li>
<li>Own your work: Take initiative, work across the stack when needed, and own features end-to-end in a lean, ambitious team</li>
</ul>
<h2>Requirements</h2>
Who you are
<ul>
<li>You have several years experience working in either a BE position or a data position which included BE Engineering</li>
<li>We are remote first but we are collaborative, if you prefer working silo’d &amp; alone we’re probably not for you</li>
<li>Experience with large platform systems and distributed architectures</li>
<li>Strong data engineering and data science capabilities</li>
<li>Proficiency in Python, Django, REST framework</li>
<li>Entrepreneurial mindset (startups/freelancing experience)</li>
</ul>
Nice to have:
<ul>
<li>Startup or freelance experience • Background in e-commerce, logistics, or finance platforms • Some frontend skills (e.g. reviewing PRs, understanding UI flow) • Experience with ML/AI for forecasting or planning systems</li>
</ul>
<h2>Benefits</h2>
Why should you
<ul>
<li>Your work will result in impact, you will see how you’re moving the needle from a product and growth perspective</li>
<li>A well-funded and fast growing start-up with a disruptive product digitizing a traditional industry</li>
<li>Remote or hybrid in Berlin with a collaborative start-up culture</li>
<li>Great package including VSOP &amp; Unlimited holiday allowance in some locations (Within reason) </li>
<li>Allowance for personal development (Training/Conferences etc)</li>
<li>Support in co working space if you’re feeling a touch of cabin fever (Location dependant)</li>
</ul>
Our Tech Stack in a nutshell
Python/Postgresql/Pandas/Dagster/Vue.js/Docker/Linux servers 
Apply here, everyone will get a response
At PartsCloud, we’re transforming the way service and spare parts teams operate with our innovative, cloud-based software, PartsOS. By streamlining inventory management and fulfilment for industrial spare parts, we help businesses meet the challenges of unpredictable demand, reduce excess inventory, and improve service delivery.
Join us at PartsCloud and be part of a solution that’s future-proofing businesses in a rapidly evolving market!
Follow us on Linkedin here: <a target="_blank" rel="noopener nofollow" href="https://www.linkedin.com/company/partscloud-gmbh/">Linkedin Page</a>

Back End Engineer - Python - (F/M/X) - 75K + Based on seniority - Remote in EU

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