(junior) full-stack software engineer - supply chain management applications (m/f/d)

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

(senior) cloud engineer / linux-spezialist (m/w/d)

ai engineer (m/f/d)

full stack engineer

senior data engineer

(junior) full-stack software engineer - supply chain management applications (m/f/d) Jobs in Berlin

(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

senior stack engineer

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)

Axel Springer SE

<div>Company Description 
Join a team that builds and evolves the technical foundation for our premium subscription business across multiple brands. Together, we create scalable solutions for acquisition, checkout, payments, entitlements, and partner integrations, combining engineering excellence with business impact. As a Senior/Staff Engineer, you will help shape architecture, drive technical improvements, and contribute to systems that enable sustainable growth and exceptional user experiences. 
 
We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and our compass in our commitment to freedom. 
Job Description 
<ul><li>
own and evolve the technical foundation of our Authentication &amp; Profile domain across account creation, login, registration, single sign-on, profile data, and secure access to user information</li><li>
design, build, and operate scalable full-stack services that enable millions of users to access our brand products and premium content reliably across all channels</li><li>
shape the future of our identity platform by improving security, user experience, performance, and maintainability across authentication and profile-related services</li><li>
challenge existing systems and drive well-founded improvements that reduce complexity, increase reliability, strengthen data security, or unlock better product and business outcomes</li><li>
work closely with product, engineering, security, data, and business stakeholders to turn authentication, profile, and user data requirements into pragmatic technical solutions</li><li>
design and improve APIs, service architectures, frontend integrations, and data access patterns used by internal services across our multi-brand ecosystem</li><li>
build and operate cloud-native infrastructure on AWS with serverless architectures, CI/CD, observability, infrastructure automation, strong production ownership, and hands-on mentoring</li></ul> 

Qualifications 
<ul><li>
10+ years of software engineering experience with strong expertise in full-stack development, distributed systems, and cloud-native architectures</li><li>
strong hands-on production experience with Java as a primary language, ideally combined with TypeScript and modern web technologies</li><li>
deep experience building and operating scalable applications on AWS, particularly with AWS Lambda, serverless architectures, CI/CD, observability, and infrastructure automation</li><li>
solid understanding of modern software architecture, APIs, distributed systems, security, resilience, and high-availability web applications</li><li>
experience with authentication, identity, single sign-on, user profiles, secure data access, privacy, or security-sensitive product domains</li><li>
strong ability to work across the stack, including backend services, frontend integrations, and the user-facing flows that connect them</li><li>
pragmatic, analytical mindset with strong English and German communication skills, confident AI tool usage, and curiosity for technologies such as Go or Rust where they add value</li></ul> 

Additional Information 
<ul><li>
your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills</li><li>
Employee offers that suit you and your life situation: Whether it's a discounted public transport ticket or JobRad leasing, a bicycle garage (incl. regular bicycle service), childcare facilities or two modern in-house kindergartens</li><li>
30 days vacation plus 10 days work from abroad</li><li>
our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens</li><li>
we offer guidance on the administrative side of relocation and visa processes through our relocation agency</li><li>
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working</li><li>
from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/</li></ul><div></div>
The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq 
 
Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity. 
 
You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde</div>

Senior / Staff Fullstack Developer – Authentication & Profile

Parloa

<div>
 
 About Parloa
 
 
 
 Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
 
 
 
 About the role:
 
 
 
 As a
 
 Senior Backend Engineer,
 
 you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP. Managed access to business systems dramatically increases their value while controlling for security and risk. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript.
 
 
 
 Areas of ownership:
 
 
 
 <ul>
 <li>
 Design, build, and maintain secure and scalable backend services
 </li>
 <li>
 Optimize system performance for low latency, high throughput, and reliability
 </li>
 <li>
 Collaborate across teams to integrate machine learning components into production systems
 </li>
 <li>
 Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon)
 </li>
 <li>
 Drive initiatives to improve operational excellence
 </li>
 <li>
 Contribute to the evolution of our architecture and engineering culture
 </li>
 <li>
 Set cultural standards for fearless iteration, bias for action, and pragmatic perfectionism&mdash;design for tomorrow, build for today.
 
 
 </li>
 </ul>
 
 OUR TECH STACK:
 
 
 
 TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS
 
 
 
 Who you are:
 
 
 
 <ul>
 <li>
 7+ years of experience as a software engineer
 </li>
 <li>
 Experience in Typescript, Node (ideally NestJS); or experience with comparable frameworks in other languages, and a willingness to learn and code in Typescript
 </li>
 <li>
 Experience with developing and maintaining highly scalable and reliable microservices
 </li>
 <li>
 Deep understanding of distributed systems, event-driven architectures, and APIs
 </li>
 <li>
 Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS)
 </li>
 <li>
 A bias for action, strong ownership, and a passion for clean, pragmatic code
 </li>
 <li>
 Experience in leading technical projects (3-9 months horizon)
 </li>
 <li>
 Strong spoken and written communication skills in English
 </li>
 <li>
 Curiosity and openness to work with AI-assisted coding tools
 </li>
 <li>
 Thrives in ambiguous, high-stakes environments with a strong sense of urgency.
 </li>
 <li>
 Embodies Parloa's ambition: to build Europe's leading engineering culture and a world-class AI platform.
 </li>
 <li>
 Motivated by making the impossible possible and building something iconic.
 
 
 </li>
 </ul>
 
 Our engineering values:
 
 
 
 At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You'll thrive here if you:
 
 
 <ul>
 <li>
 
 Earn Trust
 
 &ndash; act with transparency and reliability.
 </li>
 <li>
 
 Obsess Over Customers
 
 &ndash; always start with the customer problem.
 </li>
 <li>
 
 Think Big
 
 &ndash; set bold goals and pursue them fearlessly.
 </li>
 <li>
 
 Have Integrity
 
 &ndash; do the right thing, especially when it's hard.
 </li>
 <li>
 
 Disagree &amp; Commit
 
 &ndash; debate with candor, align fast, and deliver.
 </li>
 <li>
 
 Own It
 
 &ndash; take full responsibility for outcomes, not just tasks.
 </li>
 <li>
 
 Dive Deep
 
 &ndash; master the details without losing sight of the big picture.
 </li>
 <li>
 
 Bias for Action
 
 &ndash; move fast, decide quickly, iterate fearlessly.
 </li>
 <li>
 
 Deliver Value
 
 &ndash; measure success by customer and business impact.
 </li>
 <li>
 
 Insist on the Highest Standards
 
 &ndash; raise the bar continuously.
 </li>
 <li>
 
 Go the Extra Mile
 
 &ndash; make the impossible possible.
 </li>
 <li>
 
 Hire &amp; Elevate the Best
 
 &ndash; raise the bar with every hire
 
 
 </li>
 </ul>
 
 Our recruiting process:
 
 
 
 Recruiter Call &rarr; Technical Peer Interview &rarr; 360&deg; Tech Interview Loop &rarr; Bar Raiser
 
 
 
 Why Parloa?
 
 
 
 We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale&mdash;and want your work to matter in real, everyday moments&mdash;this is where you do it.
 
 
 At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
 
 
 We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
 
 
 Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
 
 
 Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
 
 
 Parloa is an e-verify employer in the USA. Please click here to learn more.
 
 
 <ul>
 <li>
 We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
 </li>
 </ul>
</div>

Senior Backend Engineer

Cortea AI

<div><h1 class="jobSectionHeader">About us</h1>
We&rsquo;re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
Backed by top-tier VCs with &gt;15m funding, with a working product and paying customers, we&rsquo;re rapidly scaling.
We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office.<h2 class="jobSectionHeader">
Your Role</h2>
We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it.
A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works.
Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless</li><li>
Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them</li><li>
Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently</li><li>
Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind</li><li>
Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
You'll fit here if you:<ul><li>
Have 5+ years shipping production web applications across the stack</li><li>
Write production APIs and model the data behind them so it holds up under multi-tenancy and load</li><li>
Are strong on the frontend and can build genuinely complex UI</li><li>
Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals</li><li>
Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster</li><li>
Bring a strong product mindset and real ownership of outcomes</li><li>
Make architectural decisions, weigh trade-offs, and build things other engineers can extend</li><li>
Are comfortable with ambiguity and work things out from fundamentals when there's no established answer</li></ul>
Nice-to-haves that are a plus:<ul><li>
Hands-on experience building agents, harnesses, or eval pipelines</li><li>
Data-dense or workflow-heavy B2B products</li><li>
Scaling multi-tenant systems as data and traffic grow</li><li>
Audit, finance, compliance, or another domain where being wrong is expensive</li><li>
Early-stage startup or fast-moving engineering environment</li></ul>
No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk.<h2 class="jobSectionHeader">
Our tech</h2><ul><li>
React, TS, Tailwind, TanStack</li><li>
Python, Postgres, Temporal, Kafka, Redis</li><li>
GCP, Azure, k8s</li><li>
GitHub, Linear, Slack, Notion</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
High impact &amp; growth: Front-row seat to scaling an AI startup with real ownership from day one</li><li>
Mission-driven culture: First-principles thinking, bold ideas, and a supportive team</li><li>
Attractive compensation: competitive salary + meaningful equity</li><li>
Personal development: Learning budget for courses and conferences</li><li>
True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation</li></ul><h1 class="jobSectionHeader">
Interview process</h1><ul><li>
First Call &mdash; Intro to Cortea with our Founders Associate Liza</li><li>
Second Call &mdash; Technical interview with our Member of Technical Staff Jendrik</li><li>
Third Call &mdash; Deep dive into our culture with our Co-Founder Philipp</li><li>
On-site Half-Day (Berlin) &mdash; Meet the team and work on a real problem together</li></ul></div><div></div>

Senior/Staff Fullstack Engineer (m/f/x)

Control Risks

<div>As Senior AI Engineer you will own the AI and data layer of the platform. You will design and implement the knowledge graph architecture, build agentic pipelines that enrich entity data through AI web research, and develop the graph interrogation layer that translates natural language compliance questions into structured graph queries.
You will work closely with the CTO and a small AI team including a data engineer and a junior AI engineer. You will have significant technical autonomy and direct influence over how the product evolves.
Please submit yoru CV in English. 
Requirements 
 
What You&rsquo;ll Work On
Knowledge graph architecture and implementation<ul><li>Own and evolve the platform&rsquo;s knowledge graph data model &mdash; entities (Company, Person, Community, Episodic), relationships, and temporal attributes</li><li>Implement and extend custom entity and relationship extraction pipelines using LMs, with structured output validation and confidence scoring</li><li>Use Graphiti (Zep AI&rsquo;s temporal knowledge graph framework) as the memory layer, managing episode ingestion, entity resolution, and graph updates</li><li>Design and enforce graph schema standards, ensuring consistency across data sources and ingestion pipelines</li><li>Build evaluation frameworks to measure extraction quality, entity disambiguation accuracy, and graph coverage</li></ul>
Agentic AI pipelines<ul><li>Design and implement multi-step agentic workflows that orchestrate LLM calls, web search, database lookups, and graph writes</li><li>Integrate AI web search (Tavily, Perplexity, or similar) as a tool within agentic pipelines for real-time entity enrichment</li><li>Build retrieval-augmented generation (RAG) pipelines over the knowledge graph, translating compliance queries into Cypher and natural language answers</li><li>Implement the graph interrogation layer &mdash; a conversational interface for compliance analysts to query the knowledge graph without writing Cypher</li><li>Manage LLM API integrations (Anthropic Claude, Gemini) including prompt engineering, structured outputs, and cost/latency optimisation</li></ul>
Data pipelines and integrations<ul><li>Build and maintain Python-based data ingestion pipelines reading from Databricks, connecting to external APIs (sanctions lists, corporate registries, Polixis, Vantage), and writing to Neo4j</li><li>Implement NER (named entity recognition) and entity disambiguation logic for extracting structured facts from unstructured compliance documents</li><li>Develop topic modelling pipelines to classify extracted facts as knowledge graph relationship attributes</li><li>Integrate with the .NET backend via well-defined HTTP contracts, ensuring the AI layer is independently deployable and testable</li></ul>
Research and technical leadership<ul><li>Stay current with the fast-moving agentic AI and knowledge graph literature &mdash; evaluate new frameworks, models, and techniques for production applicability</li><li>Contribute to architectural decisions with evidence: benchmarks, prototypes, and documented trade-offs</li><li>Maintain Claude Code context files (CLAUDE.md, SKILLS.md) for the AI codebase, enabling AI-augmented development across the team</li><li>Write clear technical documentation in Notion covering design decisions, data models, and operational runbooks.</li></ul>
What We&rsquo;re Looking For
Must-have<ul><li>3+ years of professional experience in AI/ML engineering, with at least 1 year working on knowledge graphs or graph-based data systems in production</li><li>Hands-on experience with Neo4j &mdash; data modelling, Cypher query writing, schema design, and performance tuning</li><li>Deep familiarity with LLM APIs (OpenAI, Anthropic, or Gemini) &mdash; prompt engineering, structured outputs, function/tool calling, and cost management</li><li>Understanding the trade-offs between LLMs and smaller fine-tuned models (Hugging Face Transformers, sentence-transformers) &mdash; knowing when a purpose-built model outperforms a prompted general one on cost, latency, and accuracy</li><li>Experience building agentic pipelines &mdash; multi-step LLM workflows with tool use, memory, and state management</li><li>Python proficiency &mdash; you write clean, testable Python and understand async patterns for I/O-bound AI workloads</li><li>Experience with RAG architectures &mdash; vector search, hybrid retrieval, and integrating retrieval into LLM-powered applications</li><li>Ability to read and apply AI research papers &mdash; you can take a paper on narrative extraction or entity disambiguation and turn it into a working prototype</li><li>Strong English communication skills &mdash; written and verbal</li></ul>
Strong advantage<ul><li>Direct experience or knowledge with Graphiti (Zep AI) or other temporal knowledge graph frameworks</li><li>Familiarity with entity resolution and disambiguation techniques at scale</li><li>Experience with NER pipelines, topic modelling, or information extraction from compliance or financial documents</li><li>Knowledge of the third-party risk, sanctions screening, or KYC/AML domain</li><li>Experience with Databricks, Delta Lake, or similar data lakehouse platforms</li><li>Exposure to GCP (Vertex AI, Cloud Run, Pub/Sub, Cloud Storage)</li><li>Experience designing evaluation frameworks for LLM-generated structured outputs</li><li>Prior work in a RegTech, FinTech, or compliance-adjacent environment</li></ul>
What Good Looks Like in This Role
We are direct about what we expect. The person who thrives here will:<ul><li>Treat the knowledge graph data model as the product&rsquo;s most important artefact &mdash; they think carefully about schema decisions and document them</li><li>Read the literature. When evaluating a new approach to entity disambiguation or graph memory, they check what&rsquo;s been published, not just what&rsquo;s on GitHub</li><li>Write evaluation harnesses before scaling pipelines. They know that a pipeline that produces plausible-looking output is not the same as one that produces correct output</li><li>Communicate blockers and trade-offs early. Technical uncertainty is expected &mdash; silence is not</li></ul></div>

Senior AI 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)

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

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