full stack engineer

senior data engineer

senior product engineer

(junior) cloud site reliability engineer (network) (m/f/x) Jobs in Berlin

senior javascript engineer

Ströer SE & Co. KGaA

<div><div><div>Gehalt:
</div><div><div><ul><li> Berlin</li></ul>
<ul><li> Berufserfahrene</li></ul>
<ul><li> Software Engineering</li></ul></div></div></div></div>
 <div><div>Unternehmensbeschreibung</div> 
 
M&ouml;chtest Du digitale L&ouml;sungen entwickeln, die den Journalismus auf das n&auml;chste Level bringen? In der Str&ouml;er Content Group Product &amp; Tech arbeiten &uuml;ber 150 Expert:innen an innovativen Konzepten.
Unser Herzst&uuml;ck ist t-online.de, Deutschlands f&uuml;hrende Nachrichten- und Ratgeberplattform. Mit einem einzigartigen Multiscreen-Konzept erreicht t-online Millionen Nutzer:innen &uuml;ber alle digitalen Kan&auml;le und setzt auf multimediales Storytelling, das sich an aktuellen Trends und Nutzer:innenverhalten orientiert.
Unsere Verticals wie Giga.de und kino.de erg&auml;nzen unser Angebot f&uuml;r die Generation Y. Wir schaffen Premium-Inhalte, die von Digital Natives konsumiert werden.
Denkst Du kreativ und m&ouml;chtest deine Ideen einbringen? Gestalte mit uns die Zukunft des digitalen Publishings!
In dieser Rolle entwickelst Du Anwendungen und Workflows, die unsere Redaktion bei der Erstellung, Bearbeitung und Ver&ouml;ffentlichung von Content unterst&uuml;tzen und echten Einfluss auf journalistische und redaktionelle Arbeit haben. Ein besonderer Fokus liegt dabei auf der Transformation redaktioneller Prozesse durch den Einsatz von AI und Agentic Engineering.
 
 
Wir suchen einen Senior Fullstack Engineer (m/w/d) mit starker Frontend-Expertise, technischem Gesamtverst&auml;ndnis und Lust darauf, Verantwortung f&uuml;r produktive Anwendungen zu &uuml;bernehmen &ndash; von der Idee &uuml;ber die Entwicklung bis zum stabilen Betrieb. 
 
<div>Stellenbeschreibung</div> 
 
<ul><li>Du entwickelst moderne Web-Anwendungen f&uuml;r redaktionelle Produkte und unterst&uuml;tzt damit unsere Teams bei der effizienten Erstellung und Ver&ouml;ffentlichung von Content</li>
<li>Du gestaltest und implementierst AI-gest&uuml;tzte Workflows, die redaktionelle Prozesse vereinfachen, automatisieren und qualitativ verbessern</li>
<li>Du bringst Deine Erfahrung im Bereich Agentic Engineering ein und hilfst dabei, neue Ans&auml;tze f&uuml;r AI-basierte Produktentwicklung in die Praxis zu &uuml;bertragen</li>
<li>Du arbeitest mit Technologien wie JavaScript, TypeScript sowie mit modernen Frameworks wie Vue, React oder Angular</li>
<li>Du arbeitest eng mit Produkt, Redaktion, UX/UI und weiteren technischen Teams zusammen, um nutzerzentrierte und skalierbare L&ouml;sungen zu entwickeln</li>
<li>Du &uuml;bernimmst Ownership f&uuml;r Anwendungen und Features &ndash; von der technischen Konzeption &uuml;ber die Umsetzung bis zum Betrieb</li> 
</ul> 
<div>Qualifikationen</div> 
 
<ul><li>Du verf&uuml;gst &uuml;ber sehr gute Kenntnisse in JavaScript, TypeScript sowie in einem modernen Frontend-Framework wie React, Vue oder Angular</li>
<li>Du hast Erfahrung in der Entwicklung produktiver Web-Anwendungen mit Fokus auf Wartbarkeit, Performance und User Experience</li>
<li>Du bringst erste Erfahrungen mit Agentic Engineering, AI-gest&uuml;tzten Entwicklungsprozessen oder der Integration von AI-Funktionalit&auml;ten in Softwareprodukte mit</li>
<li>Du kennst Public-Cloud-Plattformen wie AWS oder Google Cloud Platform und nutzt diese sicher in Entwicklungsprojekten</li>
<li>Du begeisterst Dich daf&uuml;r Produkte zu bauen, technische Herausforderungen zu l&ouml;sen und gemeinsam im Team Wirkung zu erzielen</li>
<li>bist offen f&uuml;r neue Technologien und zeichnest Dich durch pragmatisches Denken aus</li> 
</ul> 
<div>Zus&auml;tzliche Informationen</div> 
 
<ul><li>Feelgood: Ob frisches Obst &amp; M&uuml;sli zum gemeinsamen Fr&uuml;hst&uuml;ck mit Blick auf die Speicherstadt am Standort Hamburg, Recreation Rooms in Frankfurt/Main &amp; M&uuml;nchen, Lounge mit Playstation in Berlin - jeder Standort hat seinen eigenen Charme</li>
<li>Flexibility: Keine Lust auf Rush Hour? Bei uns hast Du die M&ouml;glichkeit auch aus dem Home Office zu arbeiten</li>
<li>Community: Wir &uuml;bernehmen Verantwortung und sorgen f&uuml;r mehr Nachhaltigkeit und Diversit&auml;t am Arbeitsplatz &ndash; engagiere Dich z.B. in unserer Nachhaltigkeitswerkstatt oder werde Mitglied in einer unserer Communities wie LGBTQ+ oder unserem Frauennetzwerk</li>
<li>Company: Sie oder Du? Bei uns findest Du ein kommunikatives und respektvolles Miteinander per &bdquo;Du&ldquo;, das durch eine offene Kultur gepr&auml;gt ist. Als Konzern legen wir besonderen Wert auf die berufliche Gleichstellung unserer Mitarbeiter:innen</li>
<li>Learn &amp; Grow: Gestaltungsspielraum f&uuml;r Deine kreativen Ideen sowie fachliche und pers&ouml;nliche Weiterentwicklungsm&ouml;glichkeiten, z.B. in unserem internen Talenteprogramm, zeichnen die bunte Str&ouml;er-Welt aus
</li><li>On Top: Profitiere durch unsere Benefits und nutze die M&ouml;glichkeit eines bezuschussten Mittagessens oder lease Dir verg&uuml;nstigt ein Fahrrad und genie&szlig;e exklusive Rabatte in vielen Shops</li></ul></div>

Senior Fullstack Engineer (m/w/d)

Wolters Kluwer

<div>As a Senior Full Stack Engineer (m/f/d) , you will be working for our Legal &amp; Regulatory division where we help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we&rsquo;re transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role
We are looking for exceptional engineers to join our fast-growing team automating knowledge work for legal professionals. As a Full Stack Engineer, you&rsquo;ll play a central role in developing our product and have high impact and ownership over key product features. You&rsquo;ll work end-to-end across the stack, contributing to both backend and frontend development in a lean, agile environment.
This is a unique opportunity to shape the future of legal tech by building intelligent, scalable solutions that empower professionals and transform workflows. 
In your role you&rsquo;ll be part of high skilled technology organization and a fast growing product organization. An ambitious and thrilling place to be as you&rsquo;ll be essential to both strategic alignment and local execution. You&rsquo;ll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you&rsquo;ll do:<ul><li>
Design, implement, and maintain product features across the stack&mdash;from backend APIs to frontend interfaces.</li><li>
Collaborate closely with product and design teams to deliver intuitive, high-performing user experiences.</li><li>
Ensure code quality, security, and scalability through best practices and thoughtful architecture.</li><li>
Contribute to technical decision-making and help shape the engineering culture.</li><li>
Explore and integrate AI tools and agents to enhance developer productivity and product capabilities.</li></ul> 
What you&rsquo;ll bring: 
Education<ul><li>
Bachelor's degree preferred in Computer Science or Software Engineering or similar disciplines.</li></ul> 
Experience<ul><li>
Minimum 4 years of relevant experience working within product software engineering.</li><li>
Strong experience with Python, particularly FastAPI and asynchronous programming.</li><li>
Solid proficiency in TypeScript; experience with Svelte is a strong plus.</li><li>
Familiarity with software engineering best practices and security principles.</li><li>
Experience using AI coding agents like Cursor or Claude Code.</li><li>
Bonus: You&rsquo;ve built or contributed to LLM-powered products.</li></ul> 
Skills<ul><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. It&rsquo;s more important to you to solve the problem than to use new/hyped technology.</li><li>
Accountability and commitment to high-quality outcomes.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment from day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we&rsquo;ve established ourselves as Europe&rsquo;s fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers, As part of Wolters Kluwer&rsquo;s Legal &amp; Regulatory Division, Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid
<h2 class="jobSectionHeader">Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior Full Stack Engineer (Libra - Legal AI Assistant) (m/f/d)

wolt

<div><div><h2 class="jobSectionHeader">About Wolt</h2>

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. 
 
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.</div>
Analytics at Wolt is a business-critical area that covers three different teams &mdash; data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting!

Now we are looking for an experienced Senior Analytics Engineer to join our Merchant Analytics Engineering team. You can work in Berlin, Helsinki, or Stockholm.
<h2 class="jobSectionHeader">
About the role</h2>

The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders from business and product, and transforming them into actionable data. Data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant experiments, a/b tests, and analyses.
<h3 class="jobSectionHeader">
Your daily work will include</h3>
<ul><li>Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.</li>
<li>Working on our centrally maintained data integrations and data pipelines powering our Data Warehouse, our data models, and dashboards. You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).</li>
<li>Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.</li>
<li>Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.</li>
<li>Increase data literacy across the domain and expertise through hands-on training and documentation.</li>
<li>Lead, mentor, and guide more junior team members.</li>
</ul><h2 class="jobSectionHeader">Our humble expectations</h2>
<ul><li>5+ years of experience working as an Analytics Engineer or BI Developer.</li>
<li>Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards.</li>
<li>Tech skills: Snowflake, SQL, Airflow, DBT, Looker, or other visualization tools like Tableau, Power BI, etc.</li>
<li>Advanced SQL skills and ability to write optimized queries for large data sets.</li>
<li>Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.</li>
</ul><h2 class="jobSectionHeader">What we offer</h2>
<ul><li>The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.</li>
You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. You have the chance to decide the ways of working &mdash; a hybrid, at the office, or remote within the location above.
<li>You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement.</li>
</ul><h2 class="jobSectionHeader">Next steps</h2>

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com
<div><h2 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h2>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</div></div>

Senior Analytics Engineer, Merchant

JetBrains

<div>
 At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
 
 
 The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.
 
 
 Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don&rsquo;t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and prototype machine learning solutions to improve the software development workflow.
 </li>
 <li>
 Apply existing open-source models or train custom ones as needed.
 </li>
 <li>
 Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
 </li>
 <li>
 Stay up to date with the latest advancements in applying machine learning to source code.
 </li>
 <li>
 Collaborate with colleagues and provide mentorship when appropriate.
 
 
 </li>
 </ul>
 
 We&rsquo;ll be happy to have you on our team if you:
 
 
 
 <ul>
 <li>
 Have experience designing machine learning systems from scratch.
 </li>
 <li>
 Have a background in natural language processing or code modeling.
 </li>
 <li>
 Have a proven track record of delivering machine learning projects.
 </li>
 <li>
 Know how to design reproducible ML experiments.
 </li>
 <li>
 Enjoy working on projects with high uncertainty.
 </li>
 <li>
 Are proficient in Python, Java, or Kotlin.
 </li>
 <li>
 Have hands-on experience with modern ML frameworks.
 
 
 </li>
 </ul>
 
 It Would Be Nice If You
 
 
 
 <ul>
 <li>
 Have experience applying machine learning to programming languages.
 </li>
 <li>
 Have hands-on experience building and improving AI agents.
 </li>
 <li>
 Have experience in A/B testing and general knowledge of statistics
 </li>
 <li>
 Have worked with large-scale data processing pipelines
 
 
 </li>
 </ul>
 
 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Senior ML Engineer (JetBrains Research)

Talon.One LinkedIn Jobs

<div><div>ABOUT TALON.ONE: 


Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.

Today, over 250 of the world's most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</div> 


ABOUT THE TEAM:

We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.

ABOUT THE ROLE:

As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions. 


ONCE YOU ARE HERE YOU WILL: 

<ul>
<li>Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery</li>
<li>Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration</li>
<li>Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.</li>
<li>Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&amp;D department, especially the DevOps team.</li>
</ul>
WHAT WE NEED YOU TO BRING TO THE TABLE:
<ul>
<li>3 -5 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects.</li>
<li>You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation.</li>
<li>You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc..</li>
<li>You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc..</li>
<li>You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.</li></ul> 


ABOUT TECHNOLOGY:
<ul>
<li>Kubernetes running on Google Cloud, ArgoCD, Terraform</li>
<li>PostgreSQL</li>
<li>Aiven Kafka Connect, Strimzi, Debezium</li>
<li>DBT cloud, GCP, BigQuery, Fivetran</li>
<li>We use Go for our API, core logic, and internal tooling</li>
<li>Cypress for automated end-to-end testing</li>
<li>Other odds &amp; ends in JavaScript and shell script</li></ul> 

<div>
WHAT'S IN IT FOR YOU:</div>
<ul><li>A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin</li>
<li>Leaders with 8+ years of experience building our promotions engine</li>
<li>&euro;1,000 annual learning budget and free German language courses to boost your skills</li>
<li>30 days of annual leave, plus extra paid days for your birthday and moving day</li>
<li>Home office setup budget, a monthly home office allowance</li>
<li>Freedom to work from abroad for up to 90 days worldwide!</li>
<li>Mental health support with nilo.health and a discounted Urban Sports Club membership</li>
<li>20% company subsidy on your pension contributions</li>
<li>Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome</li>
<li>Lease your ideal bike through BusinessBike</li></ul></div>

Senior Data Engineer

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors. 
 
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them. 
 
Your job as Senior Product Engineer is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars. 
 
1. Build and ship with AI 
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul>
2. Lead technical communication with enterprise customers 
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul>
3. Help build the product org 
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><h4 class="jobSectionHeader">
Your profile</h4>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those. 
<ul><li>
Excellent written and verbal communication in English and in German (C1 or C2 must have, native not required). You can run a technical workshop with a German industrial customer end to end.</li><li>
Berlin-based or willing to relocate. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul>
Nice-to-have: background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</div>

Senior Product Engineer

Scalable

<div>Company Description 
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform. 
 
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. 
 
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). 
Job Description 
You will join the Client Technology Tribe and become part of our Client Success Platform team.
The team&rsquo;s mission is: to provide the technology for an outstanding customer support experience to millions of Scalable clients. Our foremost strategy is to proactively prevent support cases where feasible by empowering our clients to find solutions independently. We also provide tools and analytics that enable everyone within Scalable to effectively minimise support cases in their areas of expertise.
In this role, you will work on client-facing support journeys as well as internal platforms and services. You will help build and improve support workflows, document and case handling, chatbot and capability integrations, and the technical foundations needed to operate these systems securely and reliably in a regulated environment.
A big part of this role requires a strong product mindset: you will move fast to ship high-impact, client-facing experiences while maintaining a rigorous platform standard. Instead of choosing between quick one-off fixes or endless over-engineering, you will strike the right balance delivering immediate value to our Customers while designing the reusable capabilities, extensible workflows, and robust integration patterns that ensure long-term architectural quality.
AI is a core part of how we work and what we build: from internal engineering workflows to support automation and new client-facing capabilities, you will work hands-on with modern AI tooling and help deliver AI-powered features with real impact.
You will collaborate closely with Product, Operations, Support, Design, Data Science, and other engineering teams to deliver measurable improvements in support quality, case prevention, deflection, and operational efficiency.
Your Responsibilities<ul><li>
Build and improve high-quality client-facing experiences and internal tooling that support self-service, case prevention, and efficient support operations.</li><li>
Work across the stack on frontend applications, backend services, APIs, integrations, event-driven workflows, and cloud infrastructure.</li><li>
Design and implement scalable solutions for support workflows, document handling, automation, and cross-service orchestration.</li><li>
Partner closely with Product, Operations, Support, and other engineering teams to deliver solutions with clear business and client impact.</li><li>
Contribute to observability, analytics, experimentation where relevant, and operational excellence across support-related systems.</li><li>
Write clean, testable, maintainable, and well-documented code while treating security, privacy, and reliability as first-class concerns.</li><li>
Take ownership from idea to production, helping the team ship pragmatic solutions without compromising engineering quality.</li><li>
Contribute to continuous improvement in architecture, testing, monitoring, and developer experience.</li><li>
Help shape technical direction, mentor teammates, and raise the engineering bar within the team.</li></ul> 

Qualifications 
<ul><li>
A university degree in Computer Science, Engineering, or a related field, or comparable practical experience.</li><li>
Strong hands-on experience with TypeScript, React, Next.js and NestJS, building polished, production-grade customer-facing applications across frontend and backend systems.</li><li>
Solid frontend experience with modern web application development.</li><li>
Practical backend experience building and integrating production services experience with Java and/or Kotlin is a plus.</li><li>
Good understanding of REST APIs, GraphQL, authentication and authorisation patterns including JWT, and service-to-service integrations.</li><li>
Experience working with distributed systems, asynchronous workflows, queues, or event-driven architectures is a strong plus.</li><li>
Good working knowledge of AWS, Docker, Git, CI/CD, and observability/debugging in production.</li><li>
Experience delivering complex software with end-to-end ownership, ideally across internal tooling, platforms, or customer-facing products.</li><li>
Strong analytical thinking in both technical and product contexts, with the ability to make pragmatic trade-offs.</li><li>
Clear, open, and concise communication skills, with professional fluency in English.</li><li>
Experience in regulated environments, support tooling, workflow automation, or operationally critical systems</li></ul> 

Additional Information 
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

(Senior) Fullstack Engineer (TypeScript) - Client Success Platform (m/f/x)

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