Remote Jobs

Du bist jemand, der gerne Verantwortung übernimmt und Projekte von der Planung bis zum erfolgreichen Abschluss begleitet? Bei uns wirst du zentrale:r Ansprechpartner:in für unsere Kunden, steuerst deren Projekte und trägst aktiv dazu bei, Leuchtturmprojekte zu schaffen, die unser Wachstum vorantreiben. In enger Zusammenarbeit mit unseren Produktentwickler:innen stellst du sicher, dass Zeit, Budget und Qualität stets im Einklang bleiben und Risiken proaktiv gemanagt werden. Du suchst eine neue Herausforderung in einem ambitionierten Team auf dem Weg, die 360° Plattform für die Energiewende weiterzuentwickeln? Dann freuen wir uns auf deine Bewerbung! epilot digitalisiert die Energiewirtschaft mit einer einzigartigen Cloud-Software. Wir sind ein wachsendes Scale-Up im Herzen von Köln. Unsere Mission: epilot revolutioniert die Zusammenarbeit von allen Marktpartnern, die in der Energiewelt zur Erbringung von Produkten und Dienstleistungen zusammenarbeiten. Wir bieten innerhalb der Cloudwelt ein großes Netzwerk aus Partnern, welches durch die Community ständig erweitert wird. Wir „epiloten“ sind ein Team aus Experten aus den Bereichen Softwareentwicklung, Energiewirtschaft, Produktmanagement und Sales. Um unsere Lösung noch schneller in der Energiewelt an die Spitze zu bringen, suchen wir ab sofort dich als Senior Project Manager (m/w/d) .

Baue mit uns die Plattform, die den Energiemarkt verändert epilot digitalisiert die Energiewirtschaft mit einer Cloud-Plattform, die Stadtwerke, Energieversorger und Netzbetreiber mit ihren Partnern vernetzt. Als wachsendes Scale-Up aus Köln arbeiten wir daran, die Zusammenarbeit aller Marktpartner neu zu denken – von der Produktentwicklung bis zur Serviceerbringung. Als Customer Success Engineer bist du die technische Seele im CS-Team. Nicht nur wissen, wie unsere Plattform funktioniert – sondern aktiv mitgestalten, wie sie funktionieren sollte. Visionär denken, hands-on in Leuchtturm-Projekten arbeiten und Best Practices als Blueprints skalieren: Das ist dein Alltag. Du bist nicht verantwortlich für die Durchführung von Standard-Onboardings. Das übernehmen andere Teams. Du konzentrierst dich auf das, was komplex, visionär und skalierbar ist. Ob Solutions Engineer, Technical Consultant oder Technical Account Manager – wenn du heute in einer dieser Rollen arbeitest, wirst du hier vieles wiedererkennen: komplexe Kundensetups, technische Beratung, Presales-Unterstützung. Bei epilot nennen wir diese Rolle Customer Success Engineer , weil sie all das verbindet – mit einem klaren Fokus auf die technische Umsetzung: Du konfigurierst komplexe Setups hands-on in der Plattform, überführst bewährte Lösungen in wiederverwendbare Templates und gibst dem Product Teams strukturiertes Feedback, das direkt in die Weiterentwicklung einfließt.

Einleitung 100 % Remote · unbefristet · deutschsprachiges Software-Produktunternehmen Du schreibst Code nicht mehr Zeile für Zeile, du dirigierst KI-Agenten, die ihn schreiben, und entscheidest, was davon Produktqualität erreicht. Unser Mandant ist ein etabliertes deutsches Softwarehaus, das eine KI-basierte Dokumentenmanagement- und Enterprise-Plattform entwickelt – im Einsatz bei hunderten Unternehmen, die ihre Prozesse darauf betreiben. Das Kernteam baut die Produktlandschaft konsequent zu einem agentisch entwickelten System um. Dafür wird kein weiterer klassischer Entwickler gesucht, sondern eine Person, die GenAI-Engineering bereits als tägliche Praxis lebt: Du nutzt Claude Code als primäres Entwicklungswerkzeug, koordinierst mehrere Agenten parallel und multiplizierst damit deinen Output um ein Vielfaches gegenüber manueller Programmierung. Deine Aufgaben • AI-Orchestrierung als Kernkompetenz: Du denkst in Agenten-Pipelines statt in Einzel-Prompts. Du steuerst Claude Code (und vergleichbare agentische Frameworks) so, dass mehrere Agenten parallel an Features, Refactorings und Tests arbeiten und du bewertest, kuratierst und korrigierst ihre Ergebnisse gezielt. • Produktlandschaft maximal optimieren: Du identifizierst, wo sich die bestehende Codebasis (Java-Backend, JavaScript-Frontend) durch KI-gestützte Neu- und Weiterentwicklung schneller, robuster und wartbarer machen lässt und setzt das eigenverantwortlich um. • Architektur & Qualitätskontrolle: Du verstehst, validierst und integrierst KI-generierten Code sicher in bestehende Architekturen. Du definierst die Guardrails (Tests, Reviews, Best Practices), die aus Agenten-Output verlässliche Software machen. • Technische Konzeption im Kernteam: Du entwickelst gemeinsam mit dem Kernteam neue Ideen und Technologien für Backend und Frontend und bringst KI-Workflows in den gesamten Entwicklungsprozess ein. • Performance & Skalierung: Du konzipierst und führst Maßnahmen zur Qualitätssicherung und Performance-Optimierung durch. • Technischer Sparringspartner: Als Last-Level-Support und Ansprechpartner für Produktverantwortliche und Vertrieb übersetzt du zwischen Geschäftsanforderung und technischer Lösung. Dein Profil • Mehrjährige, fundierte Erfahrung in der Softwareentwicklung mit Java und ggf. mit JavaScript (oder vergleichbaren Sprachen). Du kennst sauberen Code, weil du jahrelang selbst geschrieben hast. • Routinierter, produktiver Einsatz agentischer KI-Tools im Entwicklungsalltag, idealerweise Claude Code , Cursor oder vergleichbar – nicht als Experiment, sondern als primäres Arbeitsmittel. • Erfahrung im Prompt- und Context-Engineering für präzise Code-Generierung sowie im Bewerten, Härten und Integrieren von KI-generiertem Code. • Abgeschlossenes Studium der (Wirtschafts-)Informatik oder vergleichbare Qualifikation (z. B. Fachinformatiker mit einschlägiger Erfahrung). • Sehr gute Deutschkenntnisse in Wort und Schrift (zwingend) sowie gutes Englisch. • Strukturierte, eigenverantwortliche Arbeitsweise und Erfahrung mit agilen Methoden (Scrum). Benefits • Unbegrenzte KI-Power: Voller Zugang zu KI-Tools ohne Token-Limit, du arbeitest mit der vollen Kraft moderner Modelle, ohne Budget-Bremse. • 100 % Remote: Vollständig remote möglich, eigenverantwortlich in einem hilfsbereiten Kernteam, kein Pendeln als Voraussetzung. • Sicherheit: Unbefristeter Vertrag, betriebliche Altersvorsorge und Zuschüsse. • Top-Ausstattung: High-End-Hardware und höhenverstellbarer Schreibtisch, auch fürs Homeoffice. • Echtes Sparring: Regelmäßige Sessions mit einem erfahrenen Kernteam für dein fachliches Wachstum. Auf Augenhöhe, nicht zur Einarbeitung von Junioren. • Strukturierter Start: Onboarding mit Buddy-System.

About Us Flying Bisons is a leading Strategic Design & Digital Consulting company based in Warsaw, with projects across Europe and the Middle East. Our mission is to help our clients Unleash Digital Potential™ . We work at scales where real impact happens: enterprise platforms, government services, and corporate ecosystems used by millions of people. Our projects include national workforce platforms (Qiwa, Ajeer), education ecosystems (Madares), major banks (Bank Pekao, Alinma), global telecoms (Ooredoo, Salam), and international brands (KFC, Hebe, NaTemat, Enel-Med). Our uniqueness comes from going beyond design craft. As we wrote in our manifestos - Strategic Design - Manifest and Strategic Design - The Future of Design - design craft is only 10% of success . The other 90% - the Invisible 90% - is about navigating politics, aligning stakeholders, and protecting fragile visions until they reach reality. That’s why we’re building the discipline of Strategic Design - and we want you to be part of it. Role context We're looking for a UX Researcher to work with us on client projects, on a B2B basis. In this role, you will lead and support research initiatives across a variety of digital products and services, helping clients make informed product and business decisions through user-centered insights. You will work closely with designers, strategists, developers, data analysts and stakeholders to identify user needs, validate solutions and shape exceptional customer experiences. Scope of services • Preparing and executing research processes, from mapping research problems to analyzing research materials. • Creating reports and delivering key project insights to the team. • Conducting research using techniques such as user testing, in-depth interviews, IDIs, occasionally focus group interviews, FGIs, tree testing and card sorting. • Preparing and facilitating workshops with clients and internal teams. • Synthesizing and communicating findings to inspire design and product decisions and create visibility across departments. • Creating personas, user journey maps and blueprints as outputs of the research conducted. • Collaborating with other researchers and with an interdisciplinary team, including designers, strategists, developers and data analysts. What we are looking for • Commercial experience as a UX Researcher working on digital products and services. • Strong knowledge of qualitative and quantitative research methodologies. • Deep understanding of the digital product development lifecycle. • Ability to independently plan and execute research projects. • Excellent communication, storytelling and presentation skills. • Ability to navigate multiple stakeholder groups and influence others. • Strong organizational skills and attention to detail. • Proactive, solution-oriented mindset. • Fluency in Polish and professional proficiency in English. • Knowledge and experience in working with AI. Nice to have • Experience working in consulting, agency or multi-project environments. • Familiarity with tools such as Dovetail, TheyDo, Lookback, Figma and FigJam. Cooperation terms • B2B cooperation for independent contractors. • Suggested commercial range: 10 000 to 12 000 PLN net + VAT per month, depending on experience, expertise, scope and availability. • Remote cooperation. • Cooperation in an Apple and Google Workspace-based environment. • Access to selected project tools, systems and environments where required for project delivery, security or client compliance. • For long-term B2B collaborators, there may be an option to purchase selected benefits, such as a MultiSport card or enel-med medical packages, on preferential group terms, subject to provider availability and applicable conditions. • Possibility to cooperate with experienced specialists from strategy, design, research, product, analytics, technology and delivery areas. • The cooperation is based on agreed project outcomes, delivery quality and clear communication.

The role is about: We are expanding our engineering capabilities and looking for a Senior Backend Developer to join our Core Gateway team. This is a unique, dual-track role where you will play a central part in both the present and future of our infrastructure. You will support, maintain, and extend our existing Perl-based payment gateway ensuring stability and high performance in a live financial production environment while simultaneously leading the architecting and building of our next-generation Python microservices platform. In this role, you will work in a fast-paced environment where system performance, scalability, and 99.9% reliability are critical to our core transaction flow. • Location: Remote from Poland (Contractor arrangement) or Cyprus Onsite (employment arrangement) • Reporting to: Technical Lead What you will do: • Dual-Track Maintenance: Support and extend the existing Perl-based payment gateway debugging production issues and adding features while the migration is ongoing. • Modernization: Design, develop, and maintain modern server-side components in Python, ensuring high performance and scalability. • Integrations: Integrate third-party APIs and external payment services into both legacy and modern platform layers. • Agile Collaboration: Maintain clean and strong English communication to effectively collaborate with multiple stakeholders across departments working in agile sprints. • Product Thinking: Go beyond the "what" and "how" of the code bring a product-focused mindset to understand the business logic and user impact of what you build. • Engineering Standards: Participate in code reviews, uphold high code quality standards, and contribute to a culture of continuous improvement. • Infrastructure: Work closely with DevOps on CI/CD pipelines, containerization, and cloud deployments. What we need: • Python Expertise: 5+ years of backend engineering experience with strong Python mastery (AsyncIO and FastAPI preferred). • Legacy Flexibility: Experience with Perl (or a genuine eagerness to learn and work within Perl production code). We value polyglot engineers who can read and refactor legacy code. • API Mastery: Solid experience integrating third-party APIs and a deep understanding of webhooks, callbacks, and retry policies. • Tech Stack: Experience with CI/CD pipelines (GitLab preferred), Docker containerization, and familiarity with AWS (Lambda, cloud services). • Architecture: Exposure to event-driven architectures (Kafka, message queues, etc.). • Clean & Intentional Code: We value deep engineering logic over AI-generated snippets. You should be a "clean code" advocate who can explain the reasoning behind every line you ship. • Curiosity for Product: You care about the "why" behind a feature. You are interested in how a product works for the end-user and the business. • English Proficiency: Strong English communication skills—both written and verbal—to collaborate across multi-functional teams. Hiring Process: • Step 1 – Thinking in Action (40 minutes) Your first conversation will be with our Talent Acquisition team. We'll explore your background, career journey, motivations, and overall fit for the role. As part of this discussion, you'll also complete a short technical screening that will be reviewed by our engineering team. This stage helps us understand both your experience and how you approach technical challenges. • Step 2 – Build in Production (60–90 minutes) Meet with the Team Lead and technical experts for a practical assessment. Depending on the role, this may involve a live coding exercise or a real-world scenario designed to evaluate your technical skills, problem-solving approach, and ability to work through challenges similar to those faced by our teams. • Step 3 – Final Interview (45 minutes) The final stage is a group interview with senior members of our Technology squad, which may include the CTO, CPO, and Team Lead. Together, we'll discuss team fit, collaboration style, expectations from both sides, and any remaining questions about the role, team, or technology domain. This is also an opportunity for you to learn more about our culture and ways of working. The perks of being a payabl.er: • Future-Proof Your Finances: Once you’ve passed probation, we’ll kickstart your Provident Fund to secure your future. • Grow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is our growth. • Wolt Your Way Through Lunch: €150 monthly Wolt allowance to keep you fueled and happy. • Stay Active Your Way: Enjoy a SportsBenefits membership giving you access to a wide variety of gyms and sports facilities to support your active lifestyle. • Drive in Style: After one year with us, you may be eligible for a company car—performance and availability permitting. • Park with Ease: Complimentary parking space just steps from the office, so your commute is as smooth as your workday. • Max Out Your …

We are looking for a Senior Full Stack Engineer who is comfortable working on high-load, distributed systems and making architectural decisions, not just implementing tasks. At MMDSmart, you will work on a CPaaS/CCaaS platform handling messaging and voice communication at scale. This is not a typical CRUD product: you’ll deal with real-time flows, external integrations, billing complexity, and systems where design mistakes surface quickly in production. You will be expected to take ownership from design to delivery and challenge assumptions when needed. Since 2007, MMDSmart has been a leading supplier in cloud-based business communications , delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions . These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated. Requirements What will you do at MMDSmart? • Design and implement new platform capabilities across backend and frontend (not just “features” but system-level improvements); • Contribute to architecture decisions in a microservices environment (Go-based services, event-driven patterns, APIs); • Build and evolve React-based interfaces used by enterprise customers and internal teams; • Work on integrations with external vendors (messaging providers, voice, billing systems); • Investigate production issues in a high-scale environment and drive them to resolution—not just patch them; • Participate in technical discussions, trade-off analysis, and system design reviews; • Occasionally lead initiatives or own a domain end-to-end. You are a perfect match if you have: • 4+ years of real production experience as a Full Stack Engineer; • Strong backend expertise with Go (3+ years), not just syntax, but concurrency, performance, and system design; • Solid frontend experience with React + TypeScript (2+ years); • Experience building or maintaining distributed systems / microservices; • Good understanding of data modeling (SQL + NoSQL) and when to use each; • Ability to debug complex issues across services (not limited to your own code); • Comfortable working in an environment where requirements evolve and not everything is predefined. Will be a plus: • Experience with real-time systems, messaging, or telecom domains; • Familiarity with event streaming (Kafka or similar); • Experience with cloud platforms (GCP preferred); • Exposure to billing systems or high-throughput APIs. What you get: • Work on systems that actually operate at scale and have real business impact; • A team where senior engineers are expected to influence architecture, not just execute; • Remote work. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities. Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. *Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

You'll be part of a small, cross-functional data team that drives impact across Fabulous. We work closely with Product Growth, User Acquisition, and Finance. We take a full stack approach : every team member contributes across the full data spectrum. We don't specialize into Analytics Engineering or Data Science or Data Analysis. While we each have our own strengths, we contribute to projects across the entire spectrum of data work. This encourages strong ownership and drives impact. Practically, we work across three areas: • Analytics Engineering : Data modeling and transformations to build, maintain, and scale our analytics pipelines in dbt . Once an MVP is validated, we implement and improve it iteratively - with solid testing, data observability, and architecture that keeps tech debt manageable. • Applied Analytics : Data exploration, dashboard building in Omni, and ML model building. We aim for simplicity and interpretability but don't shy away from complexity when we face it. We work with highly data literate stakeholders - when building new models or dashboards we empower our users to continue to analyze the data themselves. • Data Science: ML model building to make predictions to inform the business quickly. Our stack: Fivetran · BigQuery · dbt · Amplitude · Omni This role is critical to the team's continued success: • Diverse, high-impact projects. You'll work on business-critical problems in close collaboration with business teams — improving metric accuracy, exploring new growth perspectives, building well-tested reporting pipelines, investigating data discrepancies, or applying statistics and ML where they add real value. • Building and maintaining our codebase. You'll contribute to solid analytics pipelines using SQL and dbt. Managing tech debt, improving engineering practices, and shaping the project's architecture are core to this role. • Growing into ownership. Over time, you'll own parts of the codebase, become the go-to person for at least one business team, and have a strong voice in how the analytics project evolves. • Leveling up the team. Share knowledge, and contribute to practices that help everyone grow. Speak up - we want you to shape the team's direction, cohesion, and mission. • Working autonomously. You'll manage your own projects and stakeholders. Clear, concise documentation is expected so future collaborators can build on your work. We embrace the age of AI. We use tools like Claude Code daily to write, review and ship code faster, while focusing our time on problem solving multiple projects in parallel. We are building out multiple entry points for our business stakeholders to interact with our data in natural language and believe this is the future of data work. You'll report to the Data Lead and be part of the Engineering team. Requirements Required: • University degree in Engineering, Computer Science, or Applied Mathematics • 4+ years of experience across data science, analytics, or analytics engineering - ideally with exposure to more than one of these • Excellent SQL skills, with experience building data models using dbt (or similar tools) • Strong engineering fundamentals: testing, clean code, peer review, CI/CD, git workflows • Passionate about the future of AI, researches the cutting edge, not afraid to experiment with new tools • Experience with cloud data warehouses and modern data stack tools • Self-starter who takes ownership, manages stakeholders, and communicates proactively • Excellent written and verbal English • Comfortable working remotely (we're remote-first) Great to have: • Hands-on experience with Digital Marketing / User Acquisition (attribution, iOS privacy & SKAN, UA metrics) or Product / Growth (A/B testing, retention, monetization) • Familiarity with our stack (Amplitude, dbt, BigQuery, Omni) • Good analytical and statistical intuition • Prior experience in an agile startup environment If you're excited about this role but don't check every box, we'd still love to hear from you. We value curiosity and growth mindset over a perfect resume. Benefits About Us An award-winning health, wellness, & coaching company that creates apps which fall the top ten internationally. Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives. Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better. Our History Three co-founders created the Fabulous app: Sami, Amine, and Taylor. Growing up in Tunisia, Sami and Amine were only 16 when they met. With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia. Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely. Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University. Our Approach We …

Description The Opportunity We are hiring a highly execution-focused Senior Technical Developer (Contract) to own the technical and systems layer of an enterprise project controls platform. Our software replaces the messy spreadsheet-and-email toolchain that dominates megaproject oversight with a single production-live system serving major capital construction programs. Because our data directly informs client decisions worth millions of dollars, absolute data accuracy and system reliability are core table stakes. This role is ideal for an implementation partner with expert-level TypeScript and React fundamentals who wants to step directly into a production codebase and build out real-world ML/AI infrastructure (including fine-tuned LLMs and voice interactive pipelines)—not just wrap basic APIs. You will work directly with the founder in an environment completely free of ticket theater and management layers. • Work Model: Remote | Contract • Time Commitment: 25–40 hours / week • Timezone Requirement: EST/CST • Compensation: Open What You’ll Own • Act as the primary implementation partner working directly in a production codebase. • Own the building, engineering, and feature deployment of full-stack system features. • Design, implement, and submit clean Pull Requests (PRs) for review. • Build and maintain robust machine learning pipelines, covering training data preparation, fine-tuning scripts, and system evaluations. • Write complex raw PostgreSQL database schemas, queries (CTEs, window functions), and data migrations. • Develop, scale, and optimize high-throughput model inference steps and custom voice pipelines (STT/TTS). • Decompose feature briefs, propose structural technical architectures, and autonomously resolve backend production bugs. Requirements Experience • 3+ years of production experience with strict TypeScript/JavaScript (generics, type inference, discriminated unions). • Production React experience with clear ownership over shipping and maintaining real, live web applications. • Next.js App Router literacy , demonstrating deep familiarity with server vs. client components, middleware, and route handlers. • SQL Fluency with raw PostgreSQL ; you must have zero dependency on an ORM. • Python proficiency explicitly tied to data preparation, training, and evaluation for machine learning pipelines. • Strict Git workflow discipline , maintaining clean commits and structural code review habits. • Familiarity or deep learning trajectory inside ML infrastructure frameworks (personal projects, fine-tuning experiments, or coursework). Skills • Strong independent research skills to learn unfamiliar technical stacks and specialized domains without hand-holding. • Excellent written English communication skills for documentation, thorough code reviews, and technical notes. • High technical agency to fill the gaps given an ambiguous brief, proposing sensible fallback paths independently. • Meticulous attention to detail: you test your own edge cases and ensure work is right the first time. Nice-To-Have • Hands-on PyTorch and Hugging Face model fine-tuning (PEFT/LoRA, Transformers library). • Voice/speech ML engineering background (STT, TTS, or end-to-end voice pipeline tuning). • GPU infrastructure management capabilities (self-hosted GPU servers, CUDA, resource monitoring). • Front-end data visualization expertise (Tailwind CSS, Radix unstyled primitives, complex dashboard trend charting). • Automated document report generation systems (PDF, Excel, Word exports). • DevOps exposure: Docker containerization, multi-stage builds, and automated CI/CD pipelines. • Prior domain exposure to capital construction, industrial software, or engineering project controls. Success Metrics Ramp-Up Milestones • Day 30: Local environment completely running, 5–8 production PRs successfully merged, full data tracing verified from the database to the UI, and basic domain familiarity achieved. • Day 60: Autonomously implementing core features, writing raw SQL migrations confidently, handling active production bugs, and launching initial LLM fine-tuning experiments. • Day 90: Decomposing broad feature briefs into standalone technical tasks, proposing architecture modifications, showing full-stack comfort, and actively contributing to voice AI and ML infrastructure pipelines. Benefits Why This Role Stands Out • Fully remote flexibility across global talent pools. • Direct impact on enterprise assets: Your code directly influences active capital construction programs worth millions of dollars. • Production ML experience: Opportunity to fine-tune LLMs, build real voice pipelines, and manage GPU inference server clusters on actual running systems, not simple demo tools. • Specialized domain depth: Gain high-value expertise in a specialized, multi-billion dollar industrial sector that most developers never get to touch. • Modern, zero-bloat stack: Build with fresh, current tools …

The role is about: We are expanding our engineering capabilities and looking for a Senior Backend Engineer to join our growing team. In this role, you will play a key part in designing and building scalable, high-performance backend systems, contributing to the development of robust services that support a range of internal and customer-facing products. You will work in a fast-paced environment where system performance, scalability, and reliability are critical. Location: Remote from Poland (Contractor arrangement) or Cyprus Onsite (employment arrangement) Reporting to: Group CTO What you will do: • Design and implement scalable Python microservices in a distributed architecture. • Build and optimize high-performance backend systems, ensuring scalability and reliability under high load. • Integrate and manage third-party APIs and external services. • Collaborate with cross-functional teams to define technical solutions and system design approaches. • Work with AWS services (e.g. Lambda, cloud infrastructure) to architect and deploy solutions. • Improve and maintain CI/CD pipelines and deployment processes in collaboration with DevOps. • Lead and contribute to code reviews, ensuring high engineering standards. • Identify system bottlenecks and drive performance and scalability improvements. • Troubleshoot complex production issues in distributed systems. • Contribute to technical discussions and guide best practices within the team. What we need: • 5+ years of backend engineering experience with strong Python expertise. • Proven experience building and scaling microservices architectures. • Strong knowledge of FastAPI or Django. • Experience working with AWS (including services such as Lambda). • Strong experience with Docker and containerization. • Experience with CI/CD pipelines (GitLab preferred). • Strong understanding of distributed systems and high-load environments. • Experience designing and optimizing systems for performance and scalability. • Solid experience integrating third-party APIs. • Strong problem-solving and analytical skills. • Excellent communication skills and ability to work in a remote-first environment. • Experience in fintech, payments, or financial platforms. • Experience with high-throughput systems (e.g. trading, payments, real-time processing). • Familiarity with event-driven architecture (Kafka, messaging systems). • Experience mentoring or supporting other engineers. Hiring Process: • Step 1 – Thinking in Action (40 minutes) Your first conversation will be with our Talent Acquisition team. We'll explore your background, career journey, motivations, and overall fit for the role. As part of this discussion, you'll also complete a short technical screening that will be reviewed by our engineering team. This stage helps us understand both your experience and how you approach technical challenges. • Step 2 – Build in Production (60–90 minutes) Meet with the Team Lead and technical experts for a practical assessment. Depending on the role, this may involve a live coding exercise or a real-world scenario designed to evaluate your technical skills, problem-solving approach, and ability to work through challenges similar to those faced by our teams. • Step 3 – Final Interview (45 minutes) The final stage is a group interview with senior members of our Technology squad, which may include the CTO, CPO, and Team Lead. Together, we'll discuss team fit, collaboration style, expectations from both sides, and any remaining questions about the role, team, or technology domain. This is also an opportunity for you to learn more about our culture and ways of working. The perks of being a payabl.er: • Future-Proof Your Finances: Once you’ve passed probation, we’ll kickstart your Provident Fund to secure your future. • Grow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is our growth. • Wolt Your Way Through Lunch: €150 monthly Wolt allowance to keep you fueled and happy. • Stay Active Your Way: Enjoy a SportsBenefits membership giving you access to a wide variety of gyms and sports facilities to support your active lifestyle. • Drive in Style: After one year with us, you may be eligible for a company car—performance and availability permitting. • Park with Ease: Complimentary parking space just steps from the office, so your commute is as smooth as your workday. • Max Out Your Downtime: 25 days of vacation + public holidays + 10 days of sick leave. • Shop & Save: Exclusive local discount card + tickets for exciting events like Beonix, basketball games, and more. • Speak Like a Local: Join free Greek language classes, twice a week, open to all team members. • Celebrate Together: We bring colleagues from all offices together for unforgettable company celebrations. • Global Collaboration & Events: Opportunities to participate in international company events and initiatives, connecting with …

Einleitung Unternehmensvorstellung Ein etabliertes IT-Beratungsunternehmen mit über 25 Jahren Markterfahrung baut aktuell gezielt seine Softwareentwicklungsteams aus. Was lange stark im DevOps-Umfeld verankert war, entwickelt sich jetzt konsequent weiter in Richtung moderne Java-Softwareentwicklung und Cloud-Transformation . Mit rund 40 Mitarbeitenden , starken Partnerschaften zu großen IT-Playern und einer klaren Remote-First-Strategie bietet das Unternehmen ein Umfeld für Entwickler:innen, die stabil arbeiten und gleichzeitig etwas bewegen wollen . Deine Aufgaben • Mitarbeit an der Migration bestehender Systeme in eine Kubernetes-basierte Private Cloud • Re-Engineering bestehender Systeme in Richtung moderner Architekturen • Enge Abstimmung mit dem Software-Architekten zur sauberen Umsetzung fachlicher und technischer Vorgaben • Entwicklung performanter Backend-Lösungen im Java-Ökosystem • Integration von Messaging-Systemen und Datenbanken • Kein reines „Feature-Basteln“, sondern strukturierter Umbau im laufenden Betrieb mit klarem Zielbild Dein Profil • Mehrjährige Erfahrung in Java (idealerweise 5+) • Java Version 17-25 • Jakarta EE (JPA/Hibernate, JMS, REST/Webservices) • Erfahrung mit relationalen Datenbanken (Oracle ideal) • Messaging-Technologien (z. B. RabbitMQ) • Sicher im Umgang mit IntelliJ, Git, Jira & Confluence • Kubernetes, Helm, Quarkus & GraalVM, PostgreSQL, NoSQL • React & TypeScript, Jenkins + Groovy, Security-Know-how (Zertifikate, Verschlüsselung etc.) • Agile Arbeitsweise • Deutschkenntnisse auf C1-Niveau • Wohnort Deutschland Benefits • Remote First (Wohnsitz Deutschland zwingend) • 65.000 - 80.000€ Einstiegsgehalt (mit Entwicklungsoption) • Choose your own device (Notebook & Smartphone) • Unbefristete Festanstellung • Moderne Technologien & wachsendes Umfeld mit viel Stabilität • Strukturiertes Onboarding • Individuelle Weiterbildungen & Zertifikate

Your mission at Mercanis At Mercanis, we are building the Agentic AI Procurement Suite that powers the procurement of tomorrow, digital, transparent, and intelligent. We are looking for an experienced Agentic AI Engineer to join our growing AI team. In this role, you will design, build, and optimize agentic AI systems that automate complex procurement workflows and power intelligent decision-making across our platform. You will work with cutting-edge technologies in Python, LangGraph, and AWS, integrating and fine-tuning models from leading providers such as OpenAI, Anthropic, and AWS Bedrock. Your work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage. Your Responsibilities on this role • Strong professional experience in Python software development • Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks • Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data • Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock • Familiarity with cloud-based deployment and scaling, ideally using AWS services • Strong problem-solving skills with a focus on maintainable, efficient, and scalable code • A collaborative mindset and comfort working remotely with distributed teams • Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI • Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems) • Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking • Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements • Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities • Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures Role requirements Tech stack you will work with: • Languages: Python • Frameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix • Infrastructure: AWS (Lambda, S3, ECS, and more) • Models: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers Why to join us here at Mercanis? • The chance to shape the future of AI in procurement, designing intelligent systems that have real business impact A collaborative and innovative culture that values experimentation and continuous learning • Real ownership and autonomy in developing core AI components and system design • Career growth opportunities in applied AI engineering and architecture • Flexible remote setup in Spain • A team that values transparency, curiosity, and technical excellence

Einleitung Du sorgst gern dafür, dass komplexe SAP-Systemlandschaften stabil, sicher und performant laufen? Du denkst analytisch, arbeitest strukturiert und möchtest SAP-Basis-Themen nicht nur betreuen, sondern technisch aktiv weiterentwickeln? Dann bist Du bei uns genau richtig. Zur Verstärkung unseres Teams suchen wir einen Senior SAP Basis Administrator (m/w/d). Bei uns betreust Du anspruchsvolle SAP-Systemlandschaften im Kundenumfeld – von SAP ERP, HCM, S/4HANA und BW bis hin zu SAP HANA, Transportmanagement, Lifecycle-Themen und technischen Migrationen. DAS ERWARTET DICH: • Du verantwortest den stabilen, sicheren und performanten Betrieb komplexer SAP-Systemlandschaften, insbesondere in den Bereichen SAP ERP, HCM, S/4HANA und BW. • Du übernimmst Monitoring, Administration und Fehleranalyse von Applikationsservern, Mandanten, Jobs, Hintergrundverarbeitung und Schnittstellen. • Du administrierst SAP-HANA-Datenbanken inklusive Backup, Recovery, Kapazitäts- und Speicherverwaltung sowie Performance-Analyse und Tuning im HANA- und ABAP-Umfeld. • Du betreust das SAP-Transportwesen mit TMS/STMS und koordinierst Change-, Import- und Release-Prozesse inklusive technischer Abnahme, Rückfallplanung und Downtime-Optimierung. • Du planst und begleitest Kernel-Updates, Support Packages, SPS-Updates und HANA-Revision-Updates inklusive Wartungsfenstern, Testkoordination und Rollback-Planung. • Je nach Projekt unterstützt Du technische Migrationen und Infrastruktur-Transitionen, zum Beispiel AnyDB-nach-HANA-Migrationen, Systemkopien, System-Refreshes und Rehosting-Projekte inklusive Cutover-Planung, Datenkonsistenz und Downtime-Minimierung. DAS BRINGST DU MIT: • Du verfügst über mehrjährige Erfahrung in der SAP-Basis-Administration, idealerweise in komplexen Kunden- oder Projektumgebungen. • Du hast fundierte Kenntnisse im Betrieb von SAP-Systemlandschaften, insbesondere mit SAP ERP, SAP HCM, SAP S/4HANA und SAP BW. • Du bringst sehr gute Erfahrung in der Administration von SAP HANA mit, inklusive Backup, Recovery, Monitoring, Speicherverwaltung und Performance-Optimierung. • Du bist sicher im SAP-Transportmanagement mit TMS/STMS sowie in Change-, Release- und Patch-Prozessen. • Du hast praktische Erfahrung mit Kernel-, SPS- und HANA-Revision-Updates sowie idealerweise mit Systemkopien, System-Refreshes, Migrationen oder Rehosting-Projekten. • Du arbeitest analytisch, strukturiert und lösungsorientiert, kommunizierst sicher mit Kunden und Projektteams und verfügst über sehr gute Deutschkenntnisse. WAS WIR BIETEN: Eine unbefristete Vollzeitbeschäftigung mit attraktiver Vergütung und langfristiger Perspektive. Flexible Arbeitszeiten und eine moderne Home-Office-Regelung – je nach Projekt- und Team-Setup bis zu 100 % remote. Anspruchsvolle und abwechslungsreiche Kundenprojekte im SAP-Basis-, SAP-HANA- und S/4HANA-Umfeld. Vielfältige Entwicklungsmöglichkeiten, aktiven Wissenstransfer und Unterstützung beim Ausbau Deines SAP-Know-hows. Ein kollegiales Arbeitsumfeld mit kurzen Entscheidungswegen, flachen Hierarchien und wertschätzender Zusammenarbeit. Moderne Arbeitsmittel, Corporate Benefits sowie regelmäßige Team- und Firmenevents.