Remote Dev Jobs
117 jobs available
yannick.digital GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
Wir entwickeln aktuell ein neues B2B-SaaS-Produkt im Stealth Mode. Die technische Basis steht, erste zentrale Produktfunktionen sind bereits entwickelt und jetzt beginnt die für uns spannendste Phase: Aus einer starken Basis ein marktreifes Produkt zu bauen, das wir anschließend skalieren können. Dafür suchen wir einen Senior Full-Stack Product Engineer (m/w/d), der nicht einfach Anforderungen abarbeitet, sondern technische und produktseitige Verantwortung übernimmt. Du arbeitest direkt mit dem Gründer zusammen, hast großen Einfluss auf Produkt und Architektur und begleitest Features von der ersten Idee bis zum produktiven Einsatz. Aufgaben Weiterentwicklung unserer bestehenden B2B-SaaS-Plattform im Frontend und Backend Konzeption und Umsetzung neuer Features von der Datenstruktur bis zur Benutzeroberfläche Weiterentwicklung komplexer, interaktiver Web-Interfaces Entwicklung und Integration von AI-gestützten Funktionen und Workflows Konzeption und Anbindung externer APIs und Services Weiterentwicklung unserer Datenmodelle und Backend-Architektur Sicherstellung von Codequalität durch Testing, Reviews und eine saubere Architektur Verbesserung von Performance, UX, Security und Skalierbarkeit Technische Bewertung neuer Produktideen und eigenständige Entwicklung von Lösungsvorschlägen Aktive Mitgestaltung unserer zukünftigen Produkt- und Technologie-Roadmap Qualifikation Mehrjährige Erfahrung in der Entwicklung moderner Webanwendungen oder SaaS-Produkte Fundierte Erfahrung in moderner Softwareentwicklung – idealerweise mit TypeScript, React und Next.js – sowie die Fähigkeit, dich schnell in neue Technologien und Frameworks einzuarbeiten Sicherer Umgang mit APIs, Datenmodellen sowie modernen Authentifizierungs- und Autorisierungskonzepten Gutes Verständnis für Softwarearchitektur, Testing, Performance und Security Erfahrung mit modernen Deployment- und CI/CD-Prozessen Fähigkeit, dich schnell in eine bestehende Codebase einzuarbeiten und Verantwortung dafür zu übernehmen A
YLD.com · 🇩🇪 Berlin, GermanyRemote57y ago
Location: Remote (EU based, GMT timezone) Department: Engineering Employment Type: Contract Contract Length: 6 months (with potential for extension) About YLD: Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done. About the role: As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects. Preferred Skills: Strong backend engineering experience, with Go as a primary or preferred language; Comfortable working in cloud environments such as AWS, Azure, or Google Cloud; Experience building and maintaining APIs and backend services, including SaaS platforms; Familiarity with modern infrastructure and distributed systems; Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes; Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization; Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer. You should apply i
Lumiform · 🇩🇪 Berlin, GermanyRemote57y ago
At Lumiform, we help companies digitise and automate their frontline operations, from inspections to trainings and workflows, so they can meet the highest safety, quality, and efficiency standards every day. Over 1,000 paying customers and 45,000 active users rely on Lumiform to operate safety and efficiently across manufacturing, retail, logistics, hospitality, healthcare, and other compliance-heavy industries. Backed by leading investors like Capnamic and 42CAP, and with over €10 million raised, we are scaling fast and building the category-defining platform for AI-powered frontline safety and efficiency in Europe and beyond. Our product will evolve into the leading software for meeting quality and safety standards. Our incredible team works passionately to help other companies deliver quality and make workplaces safe. Tasks Develop and maintain Android applications using Kotlin Work closely with QA engineers on testing and issue investigations to ensure app stability and quality Collaborate with Product and Design teams, providing technical input and feasibility insights Ensure the performance, quality, and responsiveness of applications Write clean, maintainable, and testable code Stay up-to-date with the latest Android development trends and technologies Identify and fix bugs and performance bottlenecks Participate in code reviews and provide constructive feedback Requirements Must-haves: 3+ years of Android experience Strong proficiency in Kotlin Solid understanding of coroutines and concurrency principles Familiarity with Room and general database concepts Experience with MVVM architecture and awareness of design patterns Proficient in working with RESTful APIs and backend services Good knowledge of Jetpack components Strong grasp of data structures and algorithms Nice-to-haves: Experience with Jetpack Compose Knowledge of writing unit and integration tests for Android applications iOS experience Benefits Work 100% remotely with flexible working hours Annual
HÄNG Outdoors · 🇩🇪 Berlin, GermanyRemote57y ago
HARDFACTS : Wir zahlen 1 8€ Stundenlohn. Wir brauchen dich für 7,5 Stunden in der Woche (100% Homeoffice/freie Zeiteinteilung). In dieser Zeit kümmerst du dich ausschließlich um das Email-Marketing bei uns. Klingt gut? Dann lies gern weiter: Gestatten, HÄNG:COM . Seit 2014 stellen wir ultraleichtes und ausgefallenes Outdoor-Gear her. Neben Partnerschaften mit RedBull, Der Bahn, Payback, American Express u.v.m. vertreiben wir diese weltweit. Seit 2017 vermieten wir außerdem unsere Hängematten und eigene Lounge-Lösungen an Festivals in ganz Europa. 100% REMOTE Home-Office ist bei uns der Normalzustand. Alle arbeiten immer 'remote'. Das gilt auch für dich. Du kannst arbeiten wann , wo und wie du möchtest. DEINE AUFGABE - Email-Newsletter Marketing Shopify steht. Die Liste steht. Kampagnen und Automationen gibt es bereits. Was uns fehlt, ist schlicht jemand, der konsequent dranbleibt: ungefähr 1–2 Kampagnen pro Woche , selbst gute Themen und Ideen entwickelt, die Newsletter umsetzt und nebenbei unsere bestehenden Flows und Automationen Stück für Stück verbessert. Aufgaben Du planst und verschickst ca. 1–2 Newsletter pro Woche Du überlegst dir selbst passende Themen, Hooks, Produkte und Angebote Du baust die Kampagnen eigenständig in Brevo Du wählst sinnvolle Zielgruppen und Segmente Du schaust dir nach dem Versand die Ergebnisse an Du testest Betreffzeilen, Inhalte, Angebote und Versandzeitpunkte Du arbeitest dich regelmäßig durch unsere bestehenden Automationen und Flows Du findest kleinere Optimierungsmöglichkeiten und setzt sie um Du bringst eigene Ideen ein, statt darauf zu warten, dass wir dir jede Kampagne vorgeben Qualifikation Wichtiger als fünf Jahre Berufserfahrung ist uns, dass du die Basics bereits praktisch beherrschst. Du darfst ausdrücklich junior sein. Erfahrung mit Shopify/Email-CRMs & Workflows sind von Vorteil mit Brevo, Klaviyo, Mailchimp oder einem vergleichbaren Tool gearbeitet haben einen Newsletter selbst gebaut und verschickt haben mit Segmenten
ShopifyLegalhero · 🇩🇪 Berlin, GermanyRemote57y ago
What You'll Do You’ll identify open AI opportunities, build them from start to finish, and bring them to real users. As a Senior AI Product Engineer, you’ll work across our three product squads: You’ll single-handedly turn unaddressed topics into products, hand them off once they’re up and running, and serve as a sparring partner for the squad PMs on all AI-related topics. For us, “senior” refers to your approach to work, not your years of experience. You’ll report directly to Product Leadership. Your Responsibilities Independent AI projects (about half of your time) You’ll identify high-impact AI opportunities in our legal workflows - in areas where no specific squad is responsible Validation happens quickly: discussions with attorneys, Legal Ops, and insurers; prototypes built in days You’ll bring the winning solutions into production yourself: routing, chaining, summarization, and agent-based loops You’ll hand off mature features to the squad - complete with documentation, evaluations, and a handover plan Support for the squads (the other half) Feasibility, costs, model selection, risks: You’ll answer these questions before every AI feature is launched You support the teams in designing evaluations, golden datasets, and guardrails You review concepts before they go into the roadmap - including prompt injection and compliance risks (GDPR, Section 203 of the German Criminal Code) You advance AI best practices: prompt engineering standards, LLM observability, and agent-based coding workflows What you bring Must-have Multiple production-ready AI/LLM systems that you’ve shipped to real users and taken responsibility for - no prototypes Demonstrable product ownership: from a vague problem to a finished product Strong Python skills and a solid foundation in software engineering (Git, testing, CI/CD, code review) In-depth experience with LangGraph, LangChain, or similar - including an understanding of what’s happening under the hood Proficiency with LLM provider APIs: fu
Distribusion Technologies · 🇩🇪 Berlin, GermanyRemote57y ago
Distribusion is the world’s leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail and ferry operators in 70+ countries with the biggest online retailers including Google Maps and Booking.com. We are shaping the future of travel and building the largest global network of transport providers and retailers. We are one of the fastest growing startups in travel, backed by leading venture capital investors including TQ Ventures, Lightrock, Creandum, and Northzone, and are headquartered in Berlin, Germany. Following our recent $80m Series C funding, we are ready to push beyond. We are looking for our first dedicated Application Security Engineer to build our AppSec practice from the ground up. This is a greenfield opportunity with a real attack surface: public partner-facing APIs, payment flows, and active bug bounties. You will own secure development, define what gets reviewed, implement security gates, build the "paved road" for ~150 engineers, and see the impact of your work in production within weeks. What you will do: Lead threat modeling and secure design reviews for high-risk changes, partner integrations, and payment flows. Implement, tune, and enforce security gates in GitLab CI/CD (SAST, SCA, secrets scanning, and DAST) while minimizing developer friction. Act as the primary technical owner for triaging, reproducing, and prioritizing findings from bug bounties, partner pentests, and automated scanners. Work hands-on with the DevOps team to implement GCP organizational policies, IAM least-privilege architectures, and Cloud Armor (WAF/rate limiting). Establish a security-champions network across engineering squads and leverage automation/AI-assisted tooling to scale code reviews effectively. Workplace: We are a remote-first company with teams located around the Globe. Also, the HQ office is in Berlin,
Norman AI GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
Norman builds an AI agent that helps small businesses manage invoicing, accounting, and taxes. We are a small team based in Berlin. As our Customer Success Manager, you will be the first point of contact for people who want to understand and use Norman. You'll spend most of your time on calls with inbound leads from our website and new customers. You will understand their needs, show relevant features, and guide their first steps. You will also work with the product team to improve what does not yet work well for customers. Full-time, remote within Germany. Tasks • Lead product demos and onboarding calls in German, tailored to each person's questions and workflows. • Understand what inbound leads need, explain honestly whether Norman fits, and help suitable customers get started. • Guide new customers through setup and their first tasks so they can use the product independently. • Answer follow-up questions, agree on next steps, and keep track of open issues and commitments. • Use the product yourself, try new features, and report problems to the product team with clear examples. • Document recurring questions, objections and friction, and turn them into better demos, help content and onboarding flows. Requirements • Native-level spoken and written German: you can lead natural, confident customer conversations and explain complex workflows clearly. • Experience working directly with customers in customer success, onboarding, consulting, support or inbound sales. • Strong listening skills: you ask useful questions and explain software patiently without jargon. • Ability to learn a product quickly and curiosity about why customers get stuck. • Reliable organization: you manage calls, notes and next steps independently and follow through on commitments. • Good English for working with the team. • Based in Germany and available full-time for customer calls during German business hours. Nice to have: • Experience with SaaS, fintech, or software for the self-employed and
RedMimicry GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
We are building a new capability that turns fragmented, noisy security logs into explainable, AI-powered threat analysis, delivered inside the RedMimicry platform. As a Software Developer at RedMimicry, you will take a leading role in developing a new security analytics capability within our platform. You will build Go backend components and the application layer. Experience with web frontend frameworks is welcome, but not required for this role. This is a fixed term contract, running until 2027-10-31. Tasks Build the Analysis Backend: Implement the services that receive security telemetry, run analysis workflows, and store results and evidence. Design APIs: Define stable, versioned interfaces for ingestion, analysis, and reporting. Design Domain Models: Define maintainable data models for security events, analysis results, and supporting evidence. Handle Long-Running Jobs: Implement asynchronous processing, progress reporting, retries, cancellation, and useful failure states. Work at Volume: Move and process large telemetry sets with predictable memory, throughput, and backpressure behaviour. Integrate Model Inference: Build the interfaces between our services and our AI/ML components, including queuing, timeouts, partial results, and fallbacks. Keep Evidence Traceable: Preserve the path from an analysis result back to the exact source fields and log fragments behind it. Implement Reporting: Build consistent JSON and PDF reporting pipelines for machine-readable and human-readable outputs. Build Secure Multi-Tenant Components: Apply authentication, authorisation, tenant separation, and secure data-handling patterns. Maintain Engineering Quality: Add tests, review code, document interfaces, profile performance, and translate analyst feedback into concrete improvements. Requirements Go Strong practical Go experience and a clear sense of idiomatic Go Concurrency with goroutines, channels, and context, including cancellation and timeouts Profiling, benchmarking, and rea
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. </p> <p>Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.</p> <p>We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.</p> <p>We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><p>Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.</p> <p>Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!</p> <h2>What's the opportunity? </h2> <p>Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and techno
caronsale · 🇩🇪 Berlin, GermanyRemote57y ago
<h1>Senior Machine Learning Engineer (m/w/d)</h1> <p>Four models in production today. Fifteen to twenty by mid-2027. The shared pipeline that gets them there has to hold — and you own everything after handoff: packaging, deployment, drift detection, and the call on whether a model is fit to serve.</p> <p><strong>Location:</strong> Berlin Schöneberg — you work from our office, hybrid with 3 days office and 2 days home office.</p> <h3>About us</h3> <p>CarOnSale is the AI-powered platform for B2B used car trading in Europe. Over 40,000 buyers from more than 20 countries trade on our platform — and 85% of inventory is exclusive to us. We connect software, pricing intelligence, logistics and financing in one layer — as the operating system for an entire industry.</p> <p><em><strong>One Platform. One Profit Engine.</strong></em></p> <h3>The platform you build in</h3> <p>Our machine learning runs on one shared, central platform — not a separate pipeline per model. Five canonical stages: data extraction, validation, transformation, training and evaluation. A Snowflake data warehouse feeds a SageMaker managed feature store, and models reach production through governed CI/CD promotion lanes on Terraform-managed AWS infrastructure. Your job is to build inside it and make it stronger, so the next model costs less to ship than the last one.</p> <h3>Your responsibilities</h3> <ul> <li>You own models from handoff through to production: packaging, deployment, monitoring, and the decision on whether a model is ready to serve</li> <li>You keep production models reliable — drift detection, performance monitoring, alerting and incident response when something moves</li> <li>You own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring hooks and feature-store parity</li> <li>You review model design and evaluation methodology before anything ships, and catch data leakage, backward-window errors and weak evaluation during development, while they are
jetbrains · 🇩🇪 Berlin, GermanyRemote57y ago
<p>Are you a senior software developer who views LLMs not as a magic fix, but as components of a larger, complex system? Do you want to move past superficial prompt engineering to design deep, asynchronous workflows that make AI agents reliably useful for real-world developers and take ownership of technical decisions in a culture that treats engineering as a craft?</p> <p><strong>About JetBrains</strong></p> <p>We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.</p> <p><strong>What you’ll do</strong></p> <p>AI coding agents are shifting how software is built, but making them truly effective within an IDE requires solving difficult orchestration and integration problems. Within the Air ADE Agents & Integrations team, our goal is to take existing agents – such as Claude Code, Gemini, and Junie – and integrate them deeply into the Air ecosystem across desktop, web, and cloud surfaces.</p> <p>This is a backend-oriented engineering role where you will influence the core business logic that connects AI agent capabilities with everyday developer workflows. Rather than focusing solely on LLM training, you will solve problems around context management, tool orchestration, and error recovery. You will work closely with our core product engineers and specialized AI/ML teams to translate open-ended developer interactions into highly responsive, concurrent technical architectures. You will have full ownership over how these systems are built, directly impacting how millions of developers interact with AI tools.</p> <p><strong>Day to day, you will:</strong></p> <ul> <li>Design, implement, and develop the core product and business logic for agent-based developer workflows in Air.</li> <li>Build deep integrations between Air produ
jetbrains · 🇩🇪 Berlin, GermanyRemote57y ago
<p><strong>JetBrains </strong>creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale.</p> <p>We are currently looking for a <strong>Software Developer </strong>to join our<strong> Web Development team</strong>. The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support.</p> <h3><strong>In this role, you will:</strong></h3> <ul> <li>Design and develop internal company-wide web applications and services.</li> <li>Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions.</li> <li>Build and maintain services running in AWS and Kubernetes-based environments.</li> <li>Develop tools and platforms for localization workflows and integrate them with third-party systems.</li> <li>Improve the reliability, scalability, and observability of our systems.</li> <li>Collaborate with other teams to evolve shared infrastructure and internal platforms.</li> </ul> <h3><strong>We’ll be happy to have you on our team if you have:</strong></h3> <ul> <li>Strong 3- 5 years experience in backend web development using Kotlin or Java.</li> <li>Experience with Node.js.</li> <li>A solid understanding of modern backend frameworks (e.g. Ktor and Spring).</li> <li>Experience designing and building production-grade systems.</li> <li>An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability).</li> <li>Experience working with cloud environments (AWS or similar).</li> <li>Familiarity with containerization and orchestration.</li> <li>The ability to write clean, maintainable, and well-structured code.</li> <li>A willingness to take ownership of systems in
Finom · 🇩🇪 Berlin, GermanyRemote57y ago
About Finom Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain. At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole. Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom. This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initi
Bling · 🇩🇪 Berlin, GermanyRemote57y ago
Deine Mission Wir bauen den ersten Payment-Dienstleister, mit dem Schulen und Kitas in Deutschland wirklich alles bargeldlos abwickeln können und suchen Verstärkung. Als Product Engineer im Bling Schule Team übernimmst du von Tag eins an echte Ownership: viel Freiheit, kurze Wege und die Chance, ein Produkt von Grund auf mitzugestalten und unsere bestehenden Systeme weiterzuentwickeln. Du shippst Features end-to-end, bist also von der ersten Idee über die Entwicklung bis zum Launch verantwortlich. Dabei triffst du gemeinsam mit unserem CTO und unserem Lead Developer die technischen Entscheidungen, die zählen und ihr funktioniert dabei wie ein eigenes kleines Startup im Startup. Am Ende trägt deine Arbeit direkt dazu bei, dass Bling Schule zu der robusten, sicheren und skalierbaren Plattform wird, auf der Zahlungen für tausende Familien und Schulen reibungslos laufen. Deine Aufgaben Du entwickelst gemeinsam mit unserem CTO und unserem Lead Developer Bling Schule weiter, von ersten Ideen über die technische Konzeption bis zum Go-live neuer Features. Du gestaltest und optimierst die technische Infrastruktur (u. a. Node.js/TypeScript-Services, Datenbanken, AWS-Umgebung), die bargeldlose Zahlungen zuverlässig, sicher und skalierbar macht. Du bringst dich aktiv in Architekturentscheidungen ein und denkst mit, wie sich Bling Schule technisch weiterentwickeln sollte, statt nur Tickets abzuarbeiten. Du stehst im direkten Austausch mit unseren Kund:innen, sammelst Feedback aus dem Schul- und Kita-Alltag und setzt daraus Lösungen um, die einen echten Unterschied machen. Du übernimmst Ownership für die Themen, die du mitgestaltest – inklusive Code-Qualität, Tests und einem sauberen, wartbaren Setup. Dein Profil Du hast bereits praktische Erfahrung als Full Stack Web Developer gesammelt und schon einmal eigenverantwortlich Software gebaut, von der Idee bis zum Release, egal ob im Job oder in einem eigenen App- bzw. Software-Projekt. Du bringst Kenntnisse in modernen Web-Technolo
Interlead GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
Was wir suchen Die #1 Plattform für Neukunden Jedes Unternehmen braucht laufend neue Kunden – und genau dieses Problem lösen wir. Mit Interlead bauen die #1 Plattform für Leads, Termine und Aufträge und machen die Kundengewinnung für unsere Partner damit einfacher, transparenter und planbarer. Zum nächstmöglichen Zeitpunkt suchen wir daher einen Head of IT (m/w/d) für unser IT Team, zu 100 % aus dem Home-Office (Deutschland) oder bei uns im Bremer Office! Das sind deine Aufgaben Du führst unser Tech-Team (aktuell 8 Personen aus Entwicklung, Daten und Infrastruktur) disziplinarisch und fachlich – inklusive 1:1s, Zielvereinbarungen, Weiterentwicklung und Recruiting neuer Teammitglieder. Du übernimmst das operative Tagesgeschäft des CTO: Priorisierung, Ressourcenplanung, Eskalationen und alle Entscheidungen, die heute noch an ihm hängen bleiben. Du verantwortest die Umsetzung unserer Roadmap über alle vier Bereiche hinweg – Product, Daten, Software und Infrastruktur – und sorgst dafür, dass zugesagte Termine gehalten werden. Du sorgst für planbare Lieferfähigkeit: Du etablierst klare Prozesse für Planung, Entwicklung, Testing und Release und machst den Fortschritt für alle Bereiche im Unternehmen sichtbar. Du baust eine belastbare Datenbasis auf: Du bringst unsere Kennzahlen zu Leads, Terminen und Aufträgen in eine Form, der Sales, Marketing und Geschäftsführung vertrauen können. Du verantwortest Stabilität, Security und Skalierbarkeit unserer Plattform – von Monitoring und Incident-Management über Backups und Zugriffsrechte bis zu DSGVO-Themen. Du bleibst technisch nah dran: Du bewertest Architekturentscheidungen, liest Code-Reviews mit und kannst im Zweifel selbst in den Code schauen – auch wenn du nicht mehr die Mehrheit deiner Zeit dort verbringst. Du steuerst technische Schulden aktiv: Du machst sie sichtbar, bewertest sie wirtschaftlich und verhandelst mit den Fachbereichen, wann wir sie abbauen. Du bist der Ansprechpartner der Fachbereiche für alle technischen T
MOTOR Ai · 🇩🇪 Berlin, GermanyRemote57y ago
Driving the transition to autonomous mobility: Our mission is to spearhead the deployment of Level 4 autonomous systems in Germany and beyond. By combining cutting-edge AI with the expertise of our multidisciplinary team, we are set to introduce the first certifiable solution of its kind to European roads. Since 2017, we have remained dedicated to one goal: shaping a future that is already in motion. Tasks Design and implement motion planning algorithms that generate safe and efficient vehicle trajectories under diverse driving conditions Optimize planned trajectories for safety, comfort, and efficiency, balancing competing constraints in real time Validate motion planning behavior in simulation and on real-world test data, identifying and resolving edge cases Work closely with perception and software integration teams to ensure motion planning outputs integrate reliably into the overall driving stack Ensure motion planning algorithms meet defined performance benchmarks and safety requirements for autonomous operation Requirements A completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification 3+ years of experience in motion planning, robotics, or autonomous vehicle software Proven experience developing motion planning/trajectory generation algorithms for robotics or autonomous vehicles, with a solid background in optimization techniques (e.g. model predictive control, sampling-based planners) Strong C++ and/or Python skills, with experience in motion planning frameworks/libraries (e.g. OMPL, MoveIt) and optimization solvers for trajectory optimization/MPC (e.g. CasADi, OSQP, IPOPT) Experience with ROS/ROS2 and simulation environments (e.g. CARLA, Gazebo), plus a solid grounding in control theory and state estimation (e.g. Kalman filters), linear algebra, and numerica
APT-ONE GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
Die APT-ONE GmbH in Berlin ist ein auf Cyber Security spezialisiertes Beratungshaus. Wir schützen die IT-, OT-, Cloud- und KI-Systeme unserer Kunden wirksam vor digitalen Bedrohungen. Unser Ansatz ist anders: KI-gestützte Werkzeuge übernehmen Discovery, Routine-Analysen und Mustererkennung – unsere Berater:innen validieren, interpretieren und konzentrieren sich auf Strategie und maßgeschneiderte Lösungen. Das ergibt tiefere Analysen und belastbare Entscheidungsgrundlagen in kürzerer Zeit, bei 40–60 % weniger Aufwand für Routinearbeit. KI nur mit höchster Sensibilität für Kundendaten: Datenschutz steht über jedem Effizienzgewinn. KI ausschließlich auf vertraglich abgesicherten, datenschutzkonformen Plattformen, minimierte und anonymisierte Daten, niemals Kundendaten im Modelltraining. Diesen Umgang – und die Bereitschaft, unsere Prozesse und Produkte kontinuierlich mit KI weiterzuentwickeln – erwarten wir von allen Berater:innen. Bei uns bist du richtig, wenn: du ein attraktives Fixgehalt plus überdurchschnittliche Gewinnbeteiligung willst. du ortsunabhängig an hochrelevanten Projekten in Security Operations und KI-Sicherheit arbeiten willst. du KI als Hebel siehst und Sicherheitsberatung neu denken willst – ohne Kompromisse beim Datenschutz. du deine Expertise in SOC-Plattformen, Detection Engineering und Automatisierung ausbauen willst. Aufgaben Entwurf und Weiterentwicklung von Sicherheitsarchitekturen über IT-, OT-, Cloud- und KI-Systeme hinweg Design sicherer Cloud- und Hybrid-Architekturen (Azure, AWS, GCP) inkl. Landing Zones, Identity- und Netzwerkdesign, Verschlüsselung und Security Baselines Erstellung von Zielarchitekturen, Security-Roadmaps und Migrationspfaden – insbesondere für Cloud-Transformationen und Multi-Cloud-Szenarien Durchführung von Threat Modeling, Architektur-Reviews und Risikoanalysen für Anwendungen, Netzwerke, Cloud-Workloads und Plattformen Design von Netzwerk- und Perimetersicherheit inkl. Segmentierung, Firewalling und Zero Trust Netwo
APT-ONE GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
Die APT-ONE GmbH in Berlin ist ein auf Cyber Security spezialisiertes Beratungshaus. Wir schützen die IT-, OT-, Cloud- und KI-Systeme unserer Kunden wirksam vor digitalen Bedrohungen. Unser Ansatz ist anders: KI-gestützte Werkzeuge übernehmen Discovery, Routine-Analysen und Mustererkennung – unsere Berater:innen validieren, interpretieren und konzentrieren sich auf Strategie und maßgeschneiderte Lösungen. Das ergibt tiefere Analysen und belastbare Entscheidungsgrundlagen in kürzerer Zeit, bei 40–60 % weniger Aufwand für Routinearbeit. KI nur mit höchster Sensibilität für Kundendaten: Datenschutz steht über jedem Effizienzgewinn. KI ausschließlich auf vertraglich abgesicherten, datenschutzkonformen Plattformen, minimierte und anonymisierte Daten, niemals Kundendaten im Modelltraining. Diesen Umgang – und die Bereitschaft, unsere Prozesse und Produkte kontinuierlich mit KI weiterzuentwickeln – erwarten wir von allen Berater:innen. Schwerpunkt dieser Rolle ist Detection Engineering: SIEM- und XDR-Plattformen, Log-Qualität, Detectionas-Code und Automatisierung – sicher in KQL, Sigma und MITRE ATT&CK. Bei uns bist du richtig, wenn: du ein attraktives Fixgehalt plus überdurchschnittliche Gewinnbeteiligung willst. du ortsunabhängig an hochrelevanten Projekten in Security Operations und KI-Sicherheit arbeiten willst. du KI als Hebel siehst und Sicherheitsberatung neu denken willst – ohne Kompromisse beim Datenschutz. du deine Expertise in SOC-Plattformen, Detection Engineering und Automatisierung ausbauen willst. Aufgaben Aufbau, Betrieb und Weiterentwicklung von SOC-Plattformen (SIEM, SOAR, EDR/XDR) Onboarding neuer Logquellen inklusive Parsing, Normalisierung und Sicherstellung der Datenqualität Entwicklung und Optimierung von Detection-Regeln und Use Cases (Sigma, KQL, SPL) auf Basis von MITRE ATT&CK Automatisierung von Analyse- und Response-Prozessen durch Playbooks und Skripting (Python, PowerShell) Aufbau von Detection-as-Code-Pipelines inkl. Versionierung, Testing un
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>Principal Engineers at Intercom have the opportunity to lead the definition and execution of key strategic initiatives.<strong> </strong>You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.</p> <p>Learn more about our engineering culture at <a href="http://intercom.engineering/">intercom.engineering</a></p> <h2>What will I be doing? </h2> <p>As an experienced engineer you will:</p> <ul> <li>Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects.</li> <li> <p>Provide assessments of project progress, risk