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Écrire du code assisté par IA, tout le monde le fait. Livrer un système IA qui tient la charge, qui ne coûte pas une fortune en tokens et qui ne raconte pas n'importe quoi à l'utilisateur final : c'est un autre métier. C'est le tien. Chez SFEIR, tu conçois et déploies des applications robustes, scalables et intelligentes — et tu mets l'IA au cœur de ta propre méthodologie de delivery. Bienvenue dans l'ère du Sfeirian 10x. SFEIR en 30 secondes 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles Partenaire Anthropic Select (+ 100 certifiés) 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts Ta mission Concevoir et développer des APIs robustes, performantes et évolutives en Python / FastAPI Garantir l'excellence du code par l'écriture de tests unitaires / d'intégration, le TDD et la participation active aux revues de code Architecturer des services Cloud-Native (principalement GCP) en utilisant des approches Serverless ou conteneurisées (Kuberntes, Docker) Contribuer à l'industrialisation de nos produits en élaborant la stratégie CI/CD et les pratiques DevOps (GitHub Actions) Intégrer des solutions d'IA/GenAI pour transformer des processus métier complexes Assurer le Run des applications en production (observabilité, monitoring, optimisation des performances). Ce qu'on cherche chez toi 4 ans minimum en Software Engineering, avec une maîtrise avancée de Python et FastAPI Une expérience concrète avec l'API d'Anthropic et l'écosystème d'agents / frameworks L'obsession des best practices — tu sais que l'IA peut halluciner et générer de la dette technique. Ton rôle est d'encadrer cette puissance avec une rigueur absolue. La curiosité — tu veux comprendre comment ça marche, pas juste consommer Ton évolution Un Engineering Manager dédié qui t'accompagne — pas un manager que tu vois deux fois par an Une trajectoire au choix : Staff Engineer / Principal Engineer ou Engineering Manager SFEIR Institute & C4E : formation continue et certifications (Claude Code, Dev Augmenté, Google Cloud) Le programme AI Champions : 6 mois pour rejoindre notre cercle d'ambassadeurs IA et propulser ton impact, en interne comme en externe Prêt(e) à devenir un(e) Sfeirian 10x ? SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Platform Department The Platform team (~20 people) brings together multidisciplinary teams working on the scientific core of Aqemia's drug discovery engine. Its mission is to build scalable and reproducible workflows enabling multiple drug discovery programs to run in parallel with minimal manual intervention. The team combines expertise across Artificial Intelligence and Machine Learning (both research and applications), data science, statistical physics and molecular simulations, computational chemistry (CADD), and other scientific disciplines. Together, they develop predictive models, physics-based simulations, and robust scientific pipelines that power AQEMIA's discovery platform. At the center of this ecosystem is the "Rocket Launcher" process: an industrialized workflow continuously launching, testing, and improving drug discovery projects through iterative scientific feedback loops. The role We are looking for an Applied AI Research Scientist to join Aqemia's Drug Discovery Platform, working at the intersection of ML and molecular science. You'll split your time between: 50% AI Research: Develop cutting-edge ML models (e.g., GNNs, generative models, physics-informed AI) to predict molecular properties and protein-ligand interactions. 50% Applied AI: Build ML models that drive real decisions in our internal and partnered drug discovery programs, working hand in hand with chemists, biologists and project leads. Responsibilities AI Research & Development (50%) Design and implement novel Deep Learning algorithms (GNNs, generative, physics-based models). Take part in cutting-edge research and bibliographic exploration Collaborate with research and drug discovery teams to translate models into actionable insights. Applied ML for Discovery Programs (50%) Develop robust ML models (regression, ranking) from molecular and biological data. Collaborate with chemists and biologists; deliver results that drive compound prioritization. Own ML workstreams from start to finish: goals, timelines and stakeholder communication. Deliver models and predictions that scientists can use in their everyday workflows. Qualifications MSc or PhD in Computer Science, Machine Learning, Computational Chemistry, or related field. Strong problem-solving skills, autonomy and a collaborative mindset. ~3-5 years of experience applying ML in scientific or industrial settings. Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Solid Python programming skills and experience working with scientific computing libraries. Nice‑to‑Have Experience in drug discovery, computational chemistry, or physics. Experience with generative models (e.g., diffusion models, VAEs, autoregressive models) applied to structured data. Familiarity with structure-based drug design and protein-ligand interactions. Familiarity with high-performance computing (HPC) and cloud-based ML pipelines. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Engineering Department The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia's drug discovery engine. Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia's scientific and AI teams to experiment, train, deploy, and run models at scale. Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience. As Engineering Manager of the Compute team, you will lead a team of 5 engineers responsible for building and evolving the compute platform that powers AQEMIA's scientific simulations, machine learning workloads, and large-scale experimentation. You will combine strong engineering leadership with technical credibility to grow a high-performing team while delivering reliable and scalable platform capabilities. Responsibilities Lead and grow the Compute Engineering team Lead, coach and develop a team of Software Engineers through regular feedback, career development and mentoring. Foster a collaborative, inclusive and high-performing engineering culture built on ownership, trust and continuous improvement. Recruit, onboard and retain exceptional engineering talent. Help engineers grow both technically and professionally while creating clear development paths. Deliver Compute roadmap Partner with Product, Staff Engineers and Engineering Leadership to define priorities and execute the Compute roadmap. Drive predictable delivery by supporting scientific computing, AI workloads and internal developer platforms. Balance new capabilities, operational excellence and technical debt reduction. Identify and proactively manage delivery risks, dependencies and execution challenges. Ensure operational excellence Drive high engineering standards across architecture, testing, observability, reliability and maintainability. Improve the scalability, resilience and performance of production systems supporting research and platform teams. Promote modern engineering practices including automation, CI/CD, Infrastructure as Code and AI-assisted software development. Continuously improve engineering processes, team effectiveness and operational maturity. Partner across Engineering and Science Collaborate closely with Platform, Data, AI and Scientific teams to translate research needs into scalable engineering solutions. Facilitate communication between technical and non-technical stakeholders. Ensure engineering execution remains aligned with AQEMIA's scientific objectives and business priorities. Support cross-functional planning, architecture discussions and technical decision-making. Contribute to Engineering leadership Partner with Engineering Leadership on organizational planning, hiring strategy and team evolution. Help define engineering standards, operating principles and best practices across the organization. Contribute to long-term platform strategy and engineering scalability. Foster knowledge sharing, technical excellence and continuous learning across teams. Qualifications 8+ years of experience in Software Engineering, including experience building production systems at scale. Previous experience leading engineering teams as an Engineering Manager or Tech Lead with people management responsibilities. Strong experience delivering distributed systems, cloud-native applications or compute-intensive platforms. Solid software engineering background with hands-on experience in Python and modern backend development. Experience working with AWS, Kubernetes, PostgreSQL, Snowflake and modern cloud infrastructure. Strong understanding of software architecture, scalability, observability and operational excellence. Experience leading roadmap execution and coordinating cross-functional engineering initiatives. Excellent communication skills with the ability to influence across engineering, scientific and business stakeholders. Strong coaching mindset with a passion for developing engineers and building high-performing teams. Pragmatic approach to balancing delivery, technical excellence and organizational priorities. Nice-to-have Experience leading Platform Engineering, Infrastructure, Compute or SRE teams. Exposure to scientific computing, machine learning infrastructure or AI platforms. Familiarity with large-scale compute environments, GPU infrastructure or distributed training systems. Experience with workflow orchestration systems and developer platforms. Experience implementing AI-assisted engineering workflows and spec-driven development practices. Track record of scaling engineering organizations in fast-growing technology companies. Interest in computational chemistry, life sciences or scientific research environments. Our Recruitment Process Talent Acquisition Interview (30 min) Role Alignment & Leadership Interview with Hiring Manager (45 min) Technical Assessment with a member of Engineering team (60 min) Candidate Presentation + Q&A / Coffee (90 min) Culture Fit Interview with Emmanuelle, Co-founder & COO (60 min) Final interview with Maximilien, Co-founder and CEO (60 min) Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. Responsibilities Challenge and drive program purpose & progress Ensure programs remain relevant, focused, and outcome-oriented through their lifecycle, Critically challenge scientific reasoning and technological applications to ensure rigor and relevance, Smoothen tech usage and change management Strategic program assessment & governance Conduct regular 360° program assessments, incorporating KPIs, Program Leaders team and stakeholder inputs, and market insights. Recommend program continuation, acceleration, or discontinuation based on robust, data-driven evaluation. Lead resource allocation discussions, ensuring optimal deployment of talent, capital, and time. Provide structured progress reporting to leadership to support effective decision-making and prioritization. Transversal program methodology Support the design, harmonization, and implementation of standardized methodologies for program governance, planning, and execution. Champion best practices and continuous improvement across all programs. Ensure programs comply with internal processes and external regulatory/industry requirements where applicable. Team management Lead, federate, mentor and grow a high-performing team of Program Leaders. Define role expectations, support development plans, and foster a strong culture of accountability and collaboration. Drive talent acquisition to build and scale the program management team in line with organizational needs. Qualifications Scientific background PhD (Chemistry, Biology) preferred, MD, PharmD or Engineer Experience in consulting in lifesciences (past or current experience) with a focus on asset positioning or R&D portfolio management Strategic thinker with strong analytical depth Experience in startup biotech or CRO is a plus Excellent leadership and people management capabilities, including experience managing, hiring and developing talent Exceptional communication and stakeholder management skills. Comfortable at navigating ambiguity. Curious, quick learner and problem solver Passionate about contributing to a mission-driven biotech company changing how drugs are discovered. Motivated by solving hard problems and making strategic decisions in uncertain environments. Eager to coach, mentor, and collaborate across disciplines. Highly organized and adaptable in a fast-paced, evolving setting. Our recruitment process 1 - First discussion with our Talent Acquisition 2 - Hiring Manager's interview : you'll meet directly with your future manager 3 - Technical assessment of your skills through a Business Case 4 - Cultural fit interview with our co-founder and COO Emmanuelle 5 - Final interview with our co-founder and CEO Maximilien Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Drug Discovery Team The Drug Discovery Sciences team (~20 people) combines expertise in medicinal chemistry, computational chemistry, biology, and translational science . Working at the intersection of AI-driven drug design, molecular simulations, and experimental science, the team is responsible for driving scientific excellence across Aqemia's drug discovery programs and delivering clinical candidates. They develop and apply innovative methodologies ensuring that scientific insights translate into high-quality therapeutic opportunities. Partnering closely with Platform, Engineering, and Program teams, they play a critical role in advancing novel small-molecule therapeutics from concept to clinical candidate. The role Join Aqemia in a role where you will help shape our rapidly expanding portfolio of small molecule programs across diverse therapeutic areas, beginning with oncology and immuno-oncology. This is a unique chance to build a pipeline working closely with the VP of biology, and multidisciplinary teams to accelerate the discovery of clinical candidates. You'll become part of a dedicated team focusing on providing biological support across the Aqemia portfolio. Responsibilities Drive the identification, validation, and selection of novel biological targets aligned with clear unmet medical needs Contribute to early-stage project ideation by providing deep biological insight and a strong understanding of the drug discovery value chain Guide programs from early discovery into the AQEMIA pipeline, supporting progression toward proof of concept Design, implement, and maintain screening cascades to enable efficient compound evaluation and decision-making Partner with project teams to provide biological expertise, identify risks, and support data-driven prioritization Manage and collaborate with external CROs to define experimental strategies and ensure generation of high-quality, decision-enabling datasets Foster cross-functional collaboration, integrating biology with chemistry, modeling, and platform teams Qualifications PhD in biological sciences (e.g., pharmacology, molecular biology, chemical biology, biochemistry) or equivalent industry experience Strong experience in small molecule drug discovery, including progression from hit identification to candidate nomination Significant industry experience (typically ~8+ years) in early-stage drug discovery and project ideation Demonstrated expertise in oncology and/or immuno-oncology Solid understanding of experimental biology, with hands-on wet lab experience to effectively guide and challenge external partners Proven ability to apply rigorous, data-driven thinking in a multidisciplinary environment Nice‑to‑Haves Experience working in a Contract Research Organization-based or highly outsourced R&D model Track record of contributing to innovative drug discovery strategies aligned with business objectives Experience in project or portfolio management across complex, cross-functional teams Strong ability to anticipate and mitigate scientific and strategic risks Familiarity with translational biology and biomarker strategies Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Engineering Department The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia's drug discovery engine. Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia's scientific and AI teams to experiment, train, deploy, and run models at scale. Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience. The role As our Senior Data Engineer, you'll own AQEMIA's data platform end to end — from ingestion through the pipeline to the trusted, model-ready datasets that power science, ML and analytics. What makes this role distinctive is the data itself: chemical structures, molecular conformations, physics- and ML-based predictions, and experimental results from CROs and partners. A core part of the work is modelling these scientific entities well — establishing canonical identity, provenance and trustworthy lineage across heterogeneous, often messy sources — so scientists, and increasingly AI agents, can rely on them. You'll work at the intersection of software engineering, data infrastructure and scientific research, with real scope to shape architecture rather than just execute against it. As AQEMIA moves toward more service and API-driven integration next year, you'll help make data fit for automation — expanding your impact from pipelines to the systems that consume them. Responsibilities Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery, maintaining lineage and traceability as data volume and complexity grow. Model canonical scientific entities — compounds, structures, assays, predictions — establishing identity, provenance and trustworthy lineage across heterogeneous and often messy sources. Set and uphold data quality standards through monitoring, validation, testing and alerting across critical pipelines, strengthening governance and observability so datasets stay trusted and accessible. Partner with ML engineers, data scientists and researchers to build curated, model-ready datasets, translating scientific and business requirements into scalable data solutions. Drive data architecture and engineering best practices — data modeling, testing, documentation, orchestration and deployment — in collaboration with the Engineering Manager and Staff Data Engineer on roadmap execution. Build self-service capabilities and, looking ahead, APIs that make data fit for automation as AQEMIA moves toward more service-based integration. Uphold engineering quality through code reviews, and mentor junior engineers by sharing knowledge and best practices as a senior individual contributor. Qualifications Deep experience in data engineering, with a track record of production systems that other teams depend on. We care about what you have built, not the year count. Strong software engineering skills. You code, you review code, and you hold a quality bar. Expert in Python and SQL. - Strong data modelling and relational database experience. You can defend an identity key. Production experience with a cloud warehouse (we use Snowflake) and a transformation framework (we use dbt). Experience with workflow orchestration (we use Airflow) and infrastructure-as-code (we use Terraform on AWS). Any STEM degree or equivalent experience. Nice-to-have Experience with AWS. Experience with infrastructure-as-code (Terraform) and modern data warehousing (e.g. Snowflake, BigQuery, Redshift) and object storage. Experience in drug discovery, biotech, pharma or deeptech environments. Exposure to AI-driven or data-intensive workflows, or experience working across disciplines (e.g. biology ↔ ML ↔ chemistry). Experience implementing data governance, lineage and metadata management solutions. Track record of improving platform scalability, reliability and operational maturity. Our recruitment process First discussion with our Talent Acquisition Hiring Manager's interview: you'll meet directly with your future manager Technical assessment of your skills in a deep-dive interview with the team VP interview to share wider team vision and align motivations Cultural fit interview with our co-founder and COO, Emmanuelle Final interview with our co-founder and CEO, Maximillien Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

Department Overview: The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. Key Responsibilities Embedded delivery Scope pod use cases that need engineering build, working directly with PMs, traders and quants. Build production-grade applications using AI-assisted development (e.g. Claude Code) on the firm's standard AI tooling: templates, CI/CD, the Institutional Knowledge Layer, MCP services and shared libraries. Engineering standards in the pod Pair with pod developers on live builds, sharing good practice in design, code review, testing and safe use of agentic coding tools. Leave the pod able to extend and maintain what has been built, rather than dependent on you. Shared capability and reuse Turn repeated pod requirements into reusable MCP servers, skills, agents and templates, available for use across the firm. Feed engineering gaps and requirements directly into the team's roadmap. Governance and graduation Build entitlements, per-user identity, audit and evaluation into every solution from day one. Take successful applications through graduation to Technology ownership, including evals, documentation and operational handover. Business outcomes Assist in tracking the business impact of what you deliver: time saved, risk reduced, decisions supported. Key Competencies: You are an experienced engineer who is credible on a trading desk. You understand how PMs and traders work, speak their language, and are comfortable challenging requests in order to deliver what actually adds value. You build quickly with AI tools but hold yourself to production standards: tested, governed, maintainable and reviewable. You understand the limitations of LLMs and design around them rather than over-promising. You look beyond the immediate request, spotting when a pod's problem is really a firm-wide one and building it once so others can reuse it. You are comfortable with ambiguity, take ownership, and measure success by business outcomes. Key Experience and Qualifications: The ideal applicant will have: Essential 5+ years in software engineering, with strong Python and SQL. Direct front office experience at a hedge fund or bank, working day to day with traders or PMs, ideally in Rates or Emerging Markets. Hands-on experience building LLM applications: retrieval (RAG), tool use and agents, context engineering, and evaluation of output quality. Heavy daily use of agentic coding tools, with a clear view of where they fail and how to review their output. A track record of shipping production systems: APIs, containers, CI/CD and cloud (Azure or Kubernetes preferred). The ability to turn loosely defined desk requests into scoped deliverables, and the confidence to push back when something should not be built. Desirable Building MCP servers or similar tool integrations. Market data and time-series work (e.g. Bloomberg, Snowflake). Integrating where required with existing front office tooling and working effectively with the teams that support them. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. About the Role As a Software Engineer on the founding Connected Supply Chain team, you will build and run the core services extending Kpler's real-time trade intelligence platform beyond marine coverage into North American inland supply chains. Operating on a high-autonomy "you build it, you run it" model, you will carry sensor telemetry from field hardware to paying customers through streaming ingestion pipelines, robust APIs, and user-facing features. By uniting crude pipeline remote sensors, rail, and waterway data with existing maritime tracking, your work will directly deliver a single connected view from production basin to export terminal. Key Responsibilities Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow. Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue. Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete. Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation. Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption. Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code. Experience & Background What you'll need (Must-haves) 2 to 4 years of professional software engineering experience building and supporting production software. Strong proficiency with Python and relational databases (SQL / Postgres). Proven experience deploying, debugging, and operating backend services in cloud environments (AWS preferred). Hands-on exposure to message queues, streaming platforms (e.g., Kafka), and RESTful API development. Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code. Nice-to-haves Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch. Prior exposure to time-series, IoT, remote sensor, or geospatial datasets. Domain interest in energy, commodities, or logistics supply chains. We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice Find more English Speaking Jobs in United Kingdom on Arbeitnow

Join Our Team as a Senior Full-Stack Software Engineer (HawkAI) at Hawk-Eye Innovations Location: Hybrid working – minimum 2 days per week in the office Office: Budapest, Váci út 144-150, 1138 Hungary Contract: Permanent, Full-Time At Hawk-Eye, we build technology that powers some of the most exciting and critical moments in sport, from instant replays and broadcast augmentation to officiating systems trusted by leagues, federations, broadcasters, and millions of fans worldwide. Our HawkAI team builds the foundational machine learning infrastructure that powers the future of sports intelligence. This is a build-from-zero role designed to bridge the gap between machine learning engineering and real-world application. You will be responsible for building the first-pass applications and services that sit on top of the HawkAI Engine, translating cutting-edge ML models and data pipelines into working, demonstrable software. If you thrive on autonomy, rapid execution, and leveraging modern AI-assisted workflows to build products from scratch, this is where you belong. We're looking for a Senior Full-Stack Software Engineer who can comfortably navigate the entire stack to get credible first versions into the hands of users. You won't be handed a fully scoped brief; instead, you'll work closely with ML engineers to figure out what a credible first pass looks like, making high-leverage architectural choices and proving out new product opportunities. What You'll Be Doing Build-from-Zero Applications: Move across the entire stack to design, build, and deploy the first working software applications and services powered by the HawkAI Engine. Bridge ML and Product: Translate complex ML models and real-time data pipelines into responsive, high-throughput APIs and intuitive user interfaces. AI-Accelerated Development: Maximize your build velocity by deeply integrating modern AI-assisted and agentic development tools into your day-to-day workflow, while retaining strict human oversight on software architecture and data integrity. Real-Time Visualization: Design and implement high-performance interfaces to stream and visualize 2D sports data with minimal latency. End-to-End Delivery: Own the end-to-end lifecycle of early-stage applications, from cloud infrastructure (AWS) and CI/CD deployment to frontline delivery. What We're Looking For Versatile Full-Stack Expertise: Broad hands-on experience moving fluidly across backend, frontend, and deployment, specifically with Java, TypeScript, React, Node.js, Python, and modern responsive web technologies (HTML5/CSS3). AWS & Infrastructure: Demonstrated experience designing, building, and deploying end-to-end cloud solutions on AWS infrastructure. CI/CD & DevOps: Proven capability deploying production-ready CI/CD pipelines using Docker and GitHub Actions. Data Streaming & 2D Rendering: Experience streaming, processing, and visualizing dynamic data using 2D rendering engine tools. ML Integration: Experience building APIs and microservices that integrate directly with ML models, keeping latency and throughput constraints front-of-mind. Pragmatic Quality: The ability to write high-quality, testable, and maintainable code that accounts for edge cases, even when executing at high speeds. Bonus Points For Experience with 2D rendering libraries like PixiJS or mobile frameworks like React Native. Hands-on experience with AWS SageMaker, AWS Bedrock, SQL, Redis/Valkey, or infrastructure-as-code using Terraform. Familiarity with building or working alongside agentic AI systems. What This Role Is Not Not an ML Engineering Role: You will work directly with ML engineers, but your focus is building product services on top of their models. Not a Fixed Roadmap Role: You won't execute against rigid specs; a key part of your initial phase is defining what the product should actually be. Not a Management Role: This is a dedicated, high-impact individual contributor position. Not a Long-Term Maintenance Role: You focus on turning 0 to 1; once opportunities are proven, dedicated teams scale and maintain them. Hungary Benefits Annual Leave: Standard according to local labour law. Flexible Working: Hybrid model (2 days in our Budapest office per week). Access to Sporting Events: Priority access and tickets to major sporting events. Sony Group Discounts: Generous discounts across Sony Group products and services. Other Benefits: Flexible Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), Private Medical Insurance, Life & Accident Insurance, MindentMent Dental Clinic discounts, Seniority Awards, and an Employee Assistance Program. Equal Opportunity Employer We're committed to creating an inclusive and diverse workplace. Everyone is treated fairly, regardless of gender, race, religion, age, disability, or background. We want you to be your best and truest self here. Apply Today If you're excited by the idea of shaping the future of sports technology through cutting-edge R&D, we'd love to hear from you. Find Jobs in United Kingdom on Arbeitnow

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Anaplan is the leading enterprise decision-making platform, powering the world's largest enterprises with our proprietary Hyperblock™ technology and cloud infrastructure. We are seeking an Engineer IV to join our team in York, UK. This role is hybrid, requiring on-site collaboration at our York office two days a week. Your Impact Lead the design, delivery, and architecture of platform capabilities powering Anaplan's enterprise-scale API gateways, edge routing, and developer acceleration. Build and scale high-throughput backend engines that manage core request orchestration, seamless multi-tenant isolation, and API-first solutions serving thousands of tenants and tens of thousands of users. Partner with architects and senior engineers across the Platform Experience domain to set technical direction, aligning implementation patterns for complex initiatives (like Vanity URLs, JWT auth flows, and cross-service proxying). Drive the evolution of our deployment infrastructure, championing modern GitOps workflows (ArgoCD, Helm) and highly available containerized orchestration. Own foundational features end-to-end—from design through to production—while continuously improving system observability, implementing intelligent rate-limiting, and solving complex concurrency challenges (e.g., database locks and connection starvation). Deliver thought leadership and coding excellence across Java/Kotlin, ensuring seamless integration between backend microservices and UI components (including resolving complex CORS and distributed edge proxy requirements). Mentor and elevate engineers across global teams through design reviews, pair programming, and hands-on leadership to foster a resilient engineering culture. Your Qualifications Extensive background in software engineering within enterprise-scale, high-throughput platform or data-centric environments. Understand, leverage, and integrate modern AI tools and concepts—including agentic programming patterns and LLM-assisted workflows—to accelerate platform engineering and developer velocity. Deep expertise in backend JVM languages (Java and/or Kotlin) with a strong understanding of distributed systems internals. Proven track record of delivering API-first infrastructures, API Gateways (e.g., Traefik), and edge routing solutions that guarantee enterprise reliability under sustained traffic loads (2K+ requests per second). Hands-on experience with Kubernetes, containerized deployments, and managing complex CI/CD pipelines (strong familiarity with GitOps, ArgoCD, and high-velocity release workflows). Solid grounding in event-driven architecture, real-time data processing, and managing complex database transaction scopes at scale. Experience balancing rapid prototyping and fast iteration with long-term sustainability and quality—you have a bias for action and prefer to try and iterate rather than wait for perfect information. Exceptional technical communicator with a proven ability to align globally distributed teams. You are highly skilled at distilling complex concepts into clear, structured RFCs and architectural designs to build consensus. Understand, leverage, and integrate modern AI tools and concepts—including agentic programming patterns and LLM-assisted workflows—to accelerate platform engineering and developer velocity. Preferred Skills You have shaped architecture and platform strategy at an enterprise scale, navigating the trade-offs of hybrid and cloud-agnostic infrastructures. You bring a polyglot mindset, matching the right technology to the challenge rather than defaulting to a single stack (comfortable exploring React, Python, or Go when needed). Genuine curiosity—you're energized by learning new technologies and approaches to solve edge routing and platform enablement challenges. You enjoy mentoring others and raising the bar for engineering culture, without big egos. You're highly comfortable operating in distributed teams, embracing asynchronous collaboration, and driving consensus across distinct domains. #LI-SP1 Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper – this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an ----- email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to ----- before taking any further action in relation to the correspondence. Privacy & AI Notice C andidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice . This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications. Find more English Speaking Jobs in United Kingdom on Arbeitnow

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce – and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career! Cirrus Logic is looking for talented Summer and MEng Engineering Interns to join their experienced engineering teams in Edinburgh, Newbury and London, and work on industrial projects relevant to their degree. This exciting opportunity includes openings in the following areas: Embedded Firmware Software Tools Software Drivers System Test Summer placements are running between June and September. MEng placements running between April and January. Departmental Summary: Embedded Firmware - You should be comfortable writing code in C/C++ and familiar with interpreted languages such as Python. With a strong background in signal processing, mathematical modelling, or algorithm design, you will collaborate with hardware designers to develop, debug, and optimize firmware, enabling the integration of innovative solutions onto commercial product platforms. Software Tools - You will work alongside experienced software, hardware and UX engineers to create cross-platform desktop tools and developer workflows using technologies such as Java and Python. Your work could contribute to interactive configuration and tuning tools, automation, plugins or APIs used by engineering teams across the company. Experience with Java, Python, C++, C# or desktop application development is helpful, but not a must. Software Drivers - You should be comfortable writing code in C and familiar with Linux kernel development, debugging tools, and automated test frameworks. With a strong background in computer science, electrical, electronic, or software engineering, and an interest in operating systems and embedded hardware, you will develop, debug, and optimize Linux (and MCU) device drivers, build and run automated tests through CI systems such as Jenkins, and work closely with cross-functional teams to enable reliable integration of commercial and consumer product platforms. System Test - You should be comfortable writing code in Python and familiar with object-oriented languages like C++. With a background in electrical, electronic, computer, or software engineering and an interest in embedded systems and hardware/software integration, you will develop and run automated functional, system, and stress tests on real hardware, from FPGA emulation through to silicon. Skills and Requirements: Enrolled in MEng or BEng in Computer Science, Software Engineering, Electronics and Electrical Engineering or a related subject degree and on track for a 2:1 or better Some experience with development/evaluation of signal processing Good understanding of software development principles Interest in Embedded Systems Excellent problem-solving ability Excellent written and verbal communication skills What to expect from your internship with Cirrus Logic: Working on a detailed technical project relevant to your degree Mentoring, coaching and development by top engineers Interaction with other students and future leaders Learning about our values and goals and experiencing a culture that fosters innovation, creativity, and timely execution Develop your teamwork, planning, creative thinking, and problem-solving skills A modern, state-of-the-art office environment in Edinburgh or Newbury Competitive salary, great benefits, discounted lunches, on-site gymnasium, games area, jam room, happy hours, social events and free snacks, drinks & fruit Candidates for this role must meet U.S. export control eligibility requirements. Due to U.S. export control restrictions and the short duration of this internship, we are unable to sponsor or obtain deemed export licenses for this role. Cirrus Logic follows a 2+ day in-office work schedule but interns should expect to be in the office more often, up to 5 days per week, based on business needs and team preference. Interns must be based within commutable distance of the work location listed on the job posting, or willing to relocate prior to beginning their internship with Cirrus Logic. Diversity drives innovation at Cirrus Logic. Different approaches, ideas and points of view are both valued and respected, and employees are rewarded for their skills, experience and performance. Additionally, Cirrus Logic is an Equal Opportunity/Affirmative Action Employer, and we do not discriminate on the basis of race, color, national origin, pregnancy status, marital status, gender, age, religion, physical or mental disability, medical condition, veteran status, sexual orientation, gender identity, genetic information or any other characteristic protected by law. Find more English Speaking Jobs in United Kingdom on Arbeitnow

ResearchGate is the professional network for scientists and researchers. From climate change and emerging diseases to food security and the responsible development of AI, the challenges facing our world are complex. Still, we're optimistic about the power of millions of scientists working together to tackle them. We provide scientists with the help and support they need by connecting them to the world's most active scientific community. We've built a platform that gives the world's scientists the tools and services they need to connect, collaborate, and advance their research. Over 25 million members from 193 countries use ResearchGate to share, discover, and discuss research. Objective of the role We're looking for an enthusiastic frontend engineer with the skills and ability to turn great ideas into reality. You should have an in-depth understanding of current web technologies and front-end development, and be passionate about creating a great user experience. Your input will help us grow and maintain our React front-end. Join a team that encourages you to explore, learn, and go beyond, while seeing your work lead to actionable results. Put your creative problem-solving and development skills into action and make a positive impact on science and society. This is a full-time position based in Germany. The team You will be an integral part of the product team dedicated to enhancing ResearchGate's publisher-facing product. This role involves designing, constructing, and refining the platform to further our mission of facilitating global scientific connections and ensuring open access to research. At present, our team is working on making ResearchGate a great platform for publishers to connect with existing and future authors. Your immediate colleagues will consist of JavaScript and PHP engineers, an Engineering Manager, a Product Manager, a UX Designer, and a UX Writer. Our team places great value on our collaborative and communicative work culture and we eagerly anticipate integrating a new Engineer into this environment. Responsibilites Create web interfaces using TypeScript and React for new products and features. Seamlessly integrate our front-end with our back-end world using GraphQL and PHP. Maintain and improve existing features and related infrastructure. Collaborate with Product Managers, Designers, and Software Engineers to deliver compelling publisher-facing products. Requirements 5+ years frontend web development experience in TypeScript (React), CSS Demonstrated ability to create code that is easily comprehensible, maintainable, and testable. Eagerness to acquire new skills, delve into different technologies and programming languages, and a willingness to acknowledge areas where expertise may be lacking. Approach problem-solving thoughtfully, embracing curiosity and maintaining an open-minded perspective. You are comfortable incorporating AI-assisted development tools into your daily workflow and exercise strong engineering judgment when evaluating and refining their output. Knowledge of GraphQL. It would be a plus if you already had knowledge of relational and document-based databases (we use MongoDB and Postgres). What we're looking for You take responsibility over your own solutions and continuously improve them. You engage in proactive and efficient communication within our distributed work environment. You focus on building a great product. You excel at designing and creating coherent, user-centric interfaces that display complex information. The interview process We start with a short call with HR or an Engineering Manager to align on the details of the job inquiry. There will be a longer discussion about your technical and professional experience and expectations with an Engineering Manager and another colleague. We'll facilitate a technical interview with one or two engineers with some pair programming and technical discussion. You'll have a conversation with our VP of Product, Mark, and our VP of Engineering, Frank, to learn more about our product and engineering organization and discuss how your experience aligns with our goals. Last but not least, you will meet with our CEO, Ijad, and our VP of Finance & People team, Jess. Find more English Speaking Jobs in Germany on Arbeitnow