data engineer

full stack engineer

senior software engineer

backend engineer (m/f/x)

devops engineer

build and deployment engineer

Helsing

<div>
 
 Who We Are
 
 
 
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 
 
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 
 
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 
 The role
 
 
 
 Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.
 
 
 For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing&rsquo;s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.
 
 
 
 The day-to-day
 
 
 
 In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing&rsquo;s software and AI capabilities in simulations or with real systems.
 
 
 
 You should apply if you
 
 
 
 <ul>
 <li>
 Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.
 </li>
 <li>
 Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing&rsquo;s toolbox of world-class talent.
 </li>
 <li>
 Prefer asking questions over stipulating answers.
 </li>
 <li>
 Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.
 </li>
 <li>
 Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.
 </li>
 <li>
 Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.
 </li>
 <li>
 Can navigate and configure Linux systems and have an understanding of network stacks and database systems.
 </li>
 <li>
 If applying for Germany- it is a requirement that you are able to speak business level or fluent German
 
 
 </li>
 </ul>
 
 Note: We operate at an intersection where women, as well as other minority groups, are systematically
 
 
 under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
 
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Rust and Python.
 </li>
 <li>
 Experience with container-based, cloud-native and edge application architectures.
 </li>
 <li>
 Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.
 </li>
 <li>
 Experience with SQL, NoSQL, and streaming database systems.
 </li>
 <li>
 Experience with production ML systems.
 </li>
 <li>
 Bonus points: you have professional experience working in a defence context.
 
 
 </li>
 </ul>
 
 Join Helsing and work with world-leading experts in their fields
 
 
 
 <ul>
 <li>
 Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
 </li>
 <li>
 The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
 </li>
 <li>
 Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
 </li>
 <li>
 In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
 </li>
 <li>
 We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A focus on outcomes, not time-tracking
 </li>
 <li>
 Competitive compensation and VSOP options
 </li>
 <li>
 Relocation support
 </li>
 <li>
 Social and education allowances
 </li>
 <li>
 Regular company events and all-hands to bring together employees as one team across Europe
 </li>
 <li>
 A hands-on onboarding program (affectionately labelled &ldquo;Infraduction&rdquo;), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
 
 
 </li>
 </ul>
 
 Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
 
 
 
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
</div>

Deployed AI Engineer

Zauber

<div>Referral bonus: If you know someone exceptional feel free to connect us via LinkedIn (Dennis Agidigbi), if we end up hiring them for a full-time role, you'll receive 10,000&euro;.
About Zauber
After co-founding and scaling Forto to over $600M in funding, I took a step back to reflect on what&rsquo;s still broken in global logistics. The answer was clear: it&rsquo;s still a human-first, spreadsheet-heavy industry, full of repetitive processes and broken system interoperability.
With the rise of AI agents, we now have the tools to rethink that from the ground up. Zauber builds autonomous agents for the global logistics industry, AI workers that handle operational tasks, talk to systems and humans alike, and get better every day.
We're already live with global logistics leaders in Europe and Asia
Backed by P9 - one of Europe's top early-stage funds
Growing fast and hiring exceptional engineers to join early
Now we are looking for an exceptional Forward Deployed Engineer to help us build with and for customers right in the field. Probably the hottest role in startups right now.
What You'll Do
You'll be the bridge between customer pain and product reality. You will:<ul><li>Sit with logistics teams, understand workflows, and turn chaos into clear system design</li><li>Build fast, AI-powered tools across the stack (Node.js, TypeScript)</li><li>Integrate with enterprise ecosystems (ERP, TMS, SFTP, event queues) and build solid pipelines for messy data</li><li>Shape product direction and tech decisions with the founding team</li><li>Travel with us to key accounts in Europe and Asia</li></ul>
You Might Be a Fit If You...<ul><li>Thrive in early-stage environments and take full ownership of outcomes</li><li>Write clean, fast code and love getting things into production</li><li>Communicate clearly with both technical and non-technical stakeholders</li><li>Are willing to work hard, to create something new and groundbreaking</li><li>Enjoy traveling and working directly with customers</li></ul>
What You Bring<ul><li>Fluency in TypeScript/Node.js; frontend React is a plus</li><li>Experience with APIs, external integrations, and enterprise data systems</li><li>Ability to design and scale backend infrastructure</li><li>Familiarity with cloud infra (Docker, Terraform, GCP or AWS)</li><li>Bonus: experience working with GenAI/LLM architectures (RAG, evals, orchestration)</li></ul>
Location &amp; Logistics<ul><li>Berlin office preferred, but open for hybrid setups</li><li>Annual offsite (last year we took the team for 4 weeks to San Francisco)</li><li>Start: As soon as possible</li></ul>
What We Offer<ul><li>Top-of-market compensation and meaningful early equity</li><li>Direct exposure to customers and decision-making</li><li>A small team of excellent engineers and operators with high autonomy</li><li>A mission that matters: building intelligent systems to power the future of global trade</li></ul>
Why Now
We&rsquo;re not a demo company. We&rsquo;re in production with real customers, in one of the world&rsquo;s most critical and complex industries. Demand is not our bottleneck, execution is. This is your chance to join extremely early, shape the company, and build what will become the core infrastructure for global logistics automation.
We envision a world where every shipment is proactively managed by intelligent agents. Where operators have superhuman capabilities at their fingertips and trade never stalls.
Building from Europe
What drives us personally is the belief that Europe&rsquo;s long-term prosperity and sovereignty depend on a strong economic engine. We need more AI product-first European global champions on the world stage.
Our mission is to build one of the biggest automation companies in the world - from Europe. While our HQ will be in Europe, we will relentlessly benchmark ourselves with the best globally and sell internationally from the beginning.</div><div></div>

Forward Deployed Engineer

Juna

<div><h4 class="jobSectionHeader">Practicalities</h4><ul><li>
Berlin-based, on-site. We work together in person.</li><li>
Working language is English. Other languages are a plus, not a requirement.</li></ul><h4 class="jobSectionHeader">
About Juna AI</h4>
We bring cutting-edge AI to the physical world. We operate on the factory floor, which means that you will see your software run on real machines, in real industrial plants. If you want to build AI products that change how the world runs, you will love it here. 
 
Recognised as a leading industrial AI company globally by Gartner and Forbes. Backed by Kleiner Perkins and Norrsken, the investors behind Google, Amazon and Anthropic. Our founders have led engineering teams of up to 2,500 people, launched more than 50 internet companies, and built apps used by over a 100 million people.<h4 class="jobSectionHeader"> 
Life At Juna AI</h4>
We are a small team taking on a massive challenge. Heavy industry accounts for a huge share of global emissions and runs on workflows unchanged in decades. We are building the agents to change that. 
 
We move fast, work face-to-face, and care about outcomes, not optics. This is not for everyone. If you want to work alone with predictable sprints, this will not fit. If you want to ship every day, raise the bar, and never stop learning, it will. 
 
We are a team of people from different backgrounds and identities. We act like owners. We think full-stack. We co-design with our customers. We care for quality and design. We believe a job is done when it&rsquo;s done well. We are optimists.<h4 class="jobSectionHeader"> 
What you get</h4><ul><li>
Close proximity to founders. Work face-to-face with founders who have done this before. You will learn faster here than anywhere else.</li><li>
Real influence on strategy. As one of our first engineers, you will shape product direction. Best idea wins, regardless of seniority.</li><li>
Low bureaucracy. Lean, autonomous teams. Decisions get made in hours, not weeks. Rapid experimentation is the default.</li><li>
Career compounding. As we are a fast growing, seed-stage company, your scope and responsibility grow with the company.</li><li>
Meaningful equity and competitive salary. You are one of the first to build this, and you share in the upside.</li></ul><h4 class="jobSectionHeader"> 
About The Role</h4><ul><li>
Build AI agents for real factories. You will build agents that plant operators trust. That means LLM-powered features and agent workflows operating on industrial data.</li><li>
Own customer projects end-to-end. You will work directly with industrial engineers and managers to turn their hardest problems into production software. Scope, design and ship, in small teams with real autonomy.</li><li>
Get on-site. Cement kilns, chemical reactors, paper machines. You get to see physical AI in places most engineers never get to. Typically, our FDEs travel to the sites they are working on every 1-2 months.</li><li>
Ship across the stack. Backend, data pipelines, frontend, whatever the customer problem needs.</li><li>
Shape the product. What you learn at customer sites feeds straight into the platform roadmap.</li></ul><h4 class="jobSectionHeader"> 
About You</h4><h2 class="jobSectionHeader">
What we look for</h2><ul><li>
Willingness to learn matters more than title. You do not need to be a senior software engineer. We are open to candidates from other quantitative disciplines, who are keen to learn.</li><li>
Energised by hard, complex problems, comfortable making calls with incomplete information, and at home in fast-changing environments.</li><li>
You would enjoy working directly with customers and translating ambiguous problems into shipped software.</li><li>
You take ownership. You see problems through, from the first customer conversation to running code in production.</li></ul><h2 class="jobSectionHeader"> 
Nice to have</h2><ul><li>
Hands-on experience with LLMs and agent frameworks</li><li>
Background in ML, simulation, or optimization</li><li>
Solid React skills and care about polished product UX</li><li>
Experience with messy industrial data: ETL, time-series, OT systems</li><li>
Prior exposure to manufacturing, process industries, or operational technology</li></ul></div>

Juna AI

<div>
 
 Practicalities
 
 
 
 <ul>
 <li>
 Berlin-based, on-site. We work together in person.
 </li>
 <li>
 Working language is English. Other languages are a plus, not a requirement.
 
 
 </li>
 </ul>
 
 About Juna AI
 
 
 
 We bring cutting-edge AI to the physical world. We operate on the factory floor, which means that you will see your software run on real machines, in real industrial plants. If you want to build AI products that change how the world runs, you will love it here.
 
 
 Recognised as a leading industrial AI company globally by Gartner and Forbes. Backed by Kleiner Perkins and Norrsken, the investors behind Google, Amazon and Anthropic. Our founders have led engineering teams of up to 2,500 people, launched more than 50 internet companies, and built apps used by over a 100 million people.
 
 
 
 Life At Juna AI
 
 
 
 We are a small team taking on a massive challenge. Heavy industry accounts for a huge share of global emissions and runs on workflows unchanged in decades. We are building the agents to change that.
 
 
 We move fast, work face-to-face, and care about outcomes, not optics. This is not for everyone. If you want to work alone with predictable sprints, this will not fit. If you want to ship every day, raise the bar, and never stop learning, it will.
 
 
 We are a team of people from different backgrounds and identities. We act like owners. We think full-stack. We co-design with our customers. We care for quality and design. We believe a job is done when it&rsquo;s done well. We are optimists.
 
 
 
 What You Get
 
 
 
 <ul>
 <li>
 Close proximity to founders. Work face-to-face with founders who have done this before. You will learn faster here than anywhere else.
 </li>
 <li>
 Real influence on strategy. As one of our first engineers, you will shape product direction. Best idea wins, regardless of seniority.
 </li>
 <li>
 Low bureaucracy. Lean, autonomous teams. Decisions get made in hours, not weeks. Rapid experimentation is the default.
 </li>
 <li>
 Career compounding. As we are a fast growing, seed-stage company, your scope and responsibility grow with the company.
 </li>
 <li>
 Meaningful equity and competitive salary. You are one of the first to build this, and you share in the upside.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 <ul>
 <li>
 Build AI agents for real factories. You will build agents that plant operators trust. That means LLM-powered features and agent workflows operating on industrial data.
 </li>
 <li>
 Own customer projects end-to-end. You will work directly with industrial engineers and managers to turn their hardest problems into production software. Scope, design and ship, in small teams with real autonomy.
 </li>
 <li>
 Get on-site. Cement kilns, chemical reactors, paper machines. You get to see physical AI in places most engineers never get to. Typically, our FDEs travel to the sites they are working on every 1-2 months.
 </li>
 <li>
 Ship across the stack. Backend, data pipelines, frontend, whatever the customer problem needs.
 </li>
 <li>
 Shape the product. What you learn at customer sites feeds straight into the platform roadmap.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 
 What we look for
 
 
 
 <ul>
 <li>
 Willingness to learn matters more than title. You do not need to be a senior software engineer. We are open to candidates from other quantitative disciplines, who are keen to learn.
 </li>
 <li>
 Energised by hard, complex problems, comfortable making calls with incomplete information, and at home in fast-changing environments.
 </li>
 <li>
 You would enjoy working directly with customers and translating ambiguous problems into shipped software.
 </li>
 <li>
 You take ownership. You see problems through, from the first customer conversation to running code in production.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Hands-on experience with LLMs and agent frameworks
 </li>
 <li>
 Background in ML, simulation, or optimization
 </li>
 <li>
 Solid React skills and care about polished product UX
 </li>
 <li>
 Experience with messy industrial data: ETL, time-series, OT systems
 </li>
 <li>
 Prior exposure to manufacturing, process industries, or operational technology
 </li>
 </ul>
</div>

REPLY

<div><div>Aufgaben<div><ul><li>
Als Forward Deployed Engineer (m/w/d) arbeitest du direkt beim und mit dem Kunden &mdash; eingebettet in dessen Teams bringst du unsere AI- und Cloud-L&ouml;sungen vom ersten Prototyp bis in den produktiven Einsatz</li><li>
Du verstehst die fachlichen Probleme unserer Kunden vor Ort, &uuml;bersetzt sie in technische L&ouml;sungen und implementierst diese hands-on auf Basis von AWS (z.B. Amazon Bedrock, AWS Lambda, Amazon SageMaker)</li><li>
In kurzen Iterationen entwickelst du Proof of Concepts und MVPs, validierst sie gemeinsam mit den Anwender*innen beim Kunden und h&auml;rtest erfolgreiche L&ouml;sungen f&uuml;r den Produktivbetrieb</li><li>
Du bist das Bindeglied zwischen Kunde und unseren Engineering-Teams: Feedback, Anforderungen und neue Use Cases tr&auml;gst du zur&uuml;ck und pr&auml;gst damit die Weiterentwicklung unserer L&ouml;sungen und Frameworks</li><li>
Auch in komplexen oder regulierten Umgebungen (z.B. On-Premise-Anbindung, hybride Architekturen) findest du pragmatische Wege, um schnell Mehrwert zu liefern</li></ul></div></div><div>
Benefits<ul><div><div><div>
BEZAHLTE ZERTIFIZIERUNGEN</div></div></div><div><div><div>
MODERNE TECHNOLOGIEN</div></div></div><div><div><div>
HYBRIDES ARBEITEN</div></div></div><div><div><div>
JOBRAD</div></div></div></ul><div><ul><li>
Bei uns kannst du deine Ideen einbringen und die Weiterentwicklung der Firma mitgestalten</li><li>
Wir bieten dir einen modernen Arbeitsplatz mit super Hardware (nach Wahl) und eine internationale und famili&auml;re Arbeitsumgebung mit flachen Hierarchien. Bei uns l&auml;sst sich der Job gut mit der Familie verbinden</li><li>
Bei uns kannst du ein JobRad bekommen, wir beteiligen uns an deinen sportlichen Aktivit&auml;ten und &uuml;ber die Reply Gruppe bekommst du Zugriff auf zahlreiche weitere Benefits</li><li>
Team Building ist bei uns ein wichtiger Faktor: Im Jahr finden diverse Events statt</li></ul></div></div><div>
Qualifikationen<div><ul><li>
Erfolgreich abgeschlossenes Hochschulstudium in Informatik, Ingenieurwesen, Mathematik, Physik oder einem vergleichbaren technischen Studiengang und erste einschl&auml;gige Berufserfahrung in der Softwareentwicklung, idealerweise im direkten Kundeneinsatz</li><li>
Sehr gute Kenntnisse in modernen Programmiersprachen (z.B. Python, Typescript) und im AWS-&Ouml;kosystem (z.B. AWS Lambda, Amazon Bedrock, Amazon DynamoDB), AWS Zertifizierungen sind ein Plus</li><li>
Erfahrung mit Generativer KI (z.B. RAG-Architekturen, Agenten) und die F&auml;higkeit, daraus in kurzer Zeit produktionsreife L&ouml;sungen zu bauen</li><li>
Ausgepr&auml;gte Kommunikationsst&auml;rke und Kundenorientierung - du f&uuml;hlst dich in Workshops genauso wohl wie im Code</li><li>
Hohe Eigenst&auml;ndigkeit, Pragmatismus und Spa&szlig; daran, dich schnell in neue Dom&auml;nen und Systemlandschaften einzuarbeiten</li><li>
Sehr gute Kommunikationsf&auml;higkeit in deutscher und englischer Sprache sowie Bereitschaft zu regelm&auml;&szlig;igen Reisen zu unseren Kunden runden dein Profil ab</li></ul></div></div><div>
Develop yourself and the digital future &ndash; at Reply!<div>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</div></div></div>

FORWARD DEPLOYED ENGINEER - AI SOLUTIONS (M/W/D) AMAZON WEB SERVICES

Bundesdruckerei-Gruppe

<div>Zum n&auml;chstm&ouml;glichen Zeitpunkt suchen wir Sie als DevOps Engineer f&uuml;r den Standort Berlin.
Ihr Aufgabenbereich
<ul><li>Automatisierung von IT-Prozessen (Continuous Integration, Continuous Delivery, Continuous Deployment) sowie eigenst&auml;ndige Durchf&uuml;hrung von Administrations- und Konfigurationst&auml;tigkeiten, u. a. mit Ansible, Terraform, Helm, Kustomize und ArgoCD</li><li>
Containerisierung moderner Anwendungen (Microservices)</li><li>
Standardisierung und Automatisierung von Build-, Test- und Deployment-Prozessen unter Ber&uuml;cksichtigung h&ouml;chster Qualit&auml;ts- und strenger Datenschutzanforderungen</li><li>
Fachliche und technologische Beratung der Product-Owner- und Software-Engineering-Teams bei Produkt- und Projektanforderungen</li><li>
Evaluierung neuer Technologien sowie kontinuierliche Weiterbildung im entsprechenden Fachgebiet</li><li>
Bugfixing, Bugtracking sowie 2nd-/3rd-Level-Support in Zusammenarbeit mit anderen Betriebsabteilungen</li><li>
Erstellung technischer Dokumentationen</li></ul>
Ihr Profil
<ul><li>Erfolgreich abgeschlossenes informationstechnisches, naturwissenschaftliches, mathematisches oder ingenieurwissenschaftliches Hochschulstudium sowie einschl&auml;gige Berufserfahrung im Bereich DevOps Engineering oder in einer vergleichbaren Position</li><li>
Verst&auml;ndnis der DevOps-Prinzipien sowie Interesse an deren Umsetzung in der Praxis</li><li>
Berufspraxis in der Implementierung von CI/CD-Pipelines sowie beim Deployment gro&szlig;er Softwareanwendungen</li><li>
Kenntnisse im Umgang mit Docker und Kubernetes, idealerweise erste Erfahrungen mit Red Hat OpenShift und Istio</li><li>
Vertrautheit mit Java, Microservice-Architekturen und API-Design (REST, Messaging)</li><li>
Erfahrungen mit Logging (Elasticsearch, Kibana, Splunk) und Monitoring (Prometheus, Grafana, Alertmanager)</li><li>
Analytische, serviceorientierte und selbstst&auml;ndige Arbeitsweise</li><li>
Sehr gute Deutschkenntnisse in Wort und Schrift (mindestens Niveau C1</li></ul></div>

DevOps Engineer (m/w/d)

NexTexAI

<div>
 
 NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.
 
 
 
 Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.
 
 
 
 We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.
 
 
 
 We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
 
 
 Tasks
 
 
 As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.
 
 
 
 You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.
 
 
 
 Your responsibilities include:
 
 
 
 &bull; Building cloud-native infrastructure and deployment pipelines
 
 
 
 &bull; Designing and developing scalable backend services and APIs
 
 
 
 &bull; Building dashboards, analytics systems and internal tools
 
 
 
 &bull; Developing industrial data pipelines for machine, sensor and camera data
 
 
 
 &bull; Supporting edge-to-cloud communication and industrial integrations
 
 
 
 &bull; Supporting AI model deployment, monitoring and inference workflows
 
 
 
 &bull; Structuring textile production data, defect classifications and sustainability KPIs
 
 
 
 &bull; Working directly with pilot factories and industrial partners
 
 
 
 &bull; Contributing to product architecture and technical strategy
 
 
 Requirements
 
 
 Strong software engineering background
 
 
 
 &bull; Strong Python and C++ programming skills
 
 
 
 &bull; Experience with FastAPI, Django, Flask, Node.js or similar frameworks
 
 
 
 &bull; Experience with PostgreSQL or similar database systems
 
 
 
 &bull; Experience with Docker and containerized environments
 
 
 
 &bull; Experience with AWS, Azure or Google Cloud
 
 
 
 &bull; Understanding of REST APIs and scalable software architectures
 
 
 
 &bull; Fluent English
 
 
 
 &bull; Ability to work independently in an early-stage startup environment
 
 
 
 Preferred Qualifications
 
 
 
 &bull; Located in Berlin or willing to relocate to Berlin
 
 
 
 &bull; Professional working proficiency in German (prior work experience in a German-speaking environment preferred)
 
 
 
 &bull; Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)
 
 
 
 &bull; Experience with MLOps and model deployment pipelines
 
 
 
 &bull; Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)
 
 
 
 &bull; Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments
 
 
 
 &bull; Startup or founding-team experience
 
 
 
 &bull; Interest in textile manufacturing, sustainability and Industry 4.0
 
 
 Benefits
 
 
 &bull; 10% equity participation as a founding team member
 
 
 
 &bull; Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year
 
 
 
 &bull; Significant compensation increase planned following successful MVP validation and funding milestones
 
 
 
 &bull; Opportunity to build a deep-tech startup from day one
 
 
 
 &bull; Direct impact on product, technology and company strategy
 
 
 
 &bull; Access to real industrial production environments and pilot textile factories
 
 
 
 &bull; Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence
 
 
 
 &bull; Direct collaboration with experienced founders, academic advisors and industry partners
 
 
 
 &bull; Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin
 
 
 
 &bull; Opportunity to shape both the product and company from an early stage
 
 
 
 &bull; Flexible working environment
 
 
 
 &bull; Potential CTO-level growth opportunities as the company scales
 
 
 
 We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.
 
 
 
 To apply, please submit:
 
 
 
 &bull; Your CV
 
 
 
 &bull; LinkedIn profile
 
 
 
 &bull; A short introduction explaining why you are interested in joining NexTex AI
 
 
 
 Selected candidates will be invited to:
 
 
 
 1. Introductory discussion with the founders
 
 
 
 2. Technical discussion and architecture review
 
 
 
 3. Final founder meeting
 
 
 
 If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.
 
 
 
 We look forward to hearing from you.
 
</div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

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Forward Deployed Engineer

Forward Deployed Engineer

FORWARD DEPLOYED ENGINEER - AI SOLUTIONS (M/W/D) AMAZON WEB SERVICES

DevOps Engineer (m/w/d)

Founding Software Engineer (Backend, Cloud & AI Infrastructure)