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About Impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: As we are growing our Tracking team, we're looking to hire a full stack software engineer who enjoys delivering products that operate at meaningful scale. You will build and evolve the services, APIs, and data workflows behind products used by many of the world's best-known brands. You will also be responsible for providing screens with smooth user experiences to connect these data flows to our customers. This is a hybrid role based in our Columbus, OH office, requiring in-office days on Tuesdays and Thursdays each week. What You'll Do: Own features from concept to production. Design, build, and evolve Java services, modules, and APIs that support high-volume tracking, data, and commerce workflows. Provide guidance and expertise for maintaining and creating the screens that help configure and drive our backend data processing Make sound technical decisions across service boundaries, relational data, asynchronous processing, reliability, and operational performance. Investigate and resolve production issues before they spoil your weekend. Integrate with external APIs and build clear, reliable interfaces for consumers. Share technical judgment with the team through design discussions, code review, and mentoring. Be part of a continuously improving, agile team. What You Bring: Java & Spring: Solid understanding of Java 8+, Spring frameworks, and Spring MVC. Database & Persistence: Experience with SQL, MySQL (or other RDBMS), and JDBC. Web Foundations: Expertise in vanilla JavaScript, HTML, CSS, DOM manipulation, and RESTful APIs. Modern Client-Side Frameworks: Applied experience with Vue preferred Comfortable in the Linux terminal, using command-line to troubleshoot systems. Clear communication and collaborative problem-solving skills, with a record of helping teams deliver high-quality software. Solid security practices: Working with JWTs, guarding against XSS, and preventing SQL injection. Nice To Have: Experience translating requirements and stakeholder feedback into features, and building interfaces from design mockups (e.g., Figma). Production delivery experience: Familiarity with CI/CD pipelines (such as Jenkins or GitHub Actions) and using CDNs to serve web assets. Experience building applications on public cloud platforms and working with cloud-native or serverless technologies (Google Cloud preferred). Experience using AI-assisted development tools, such as Claude Code, thoughtfully and effectively. Affiliate & Partnerships Industry Fundamentals Certification by PXA. Salary Range: $120,000 - $135,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

Vos missions Vos missions Rattaché(e) à la Direction Technique, vous pilotez l'ensemble de la fonction Produit. Vous définissez la stratégie produit, arbitrez les investissements, managez l'équipe et garantissez l'alignement des moyens engagés avec les objectifs de l'entreprise. En binôme avec le Product Lead, vous portez la vision, fixez le cadre stratégique et représentez le produit auprès de la Direction Générale. Principales responsabilités Définir la stratégie d'un portefeuille multi-produits : investissements, priorités, évolution et cycle de vie des produits. Appuyer chaque décision sur des données mesurables (revenus, usage, renouvellements, churn, coûts, risques). Manager l'équipe Produit (Product Lead, Product Owners, Business Analysts, Product Designers, QA Engineers) : recrutement, accompagnement, évaluation et développement des compétences. Fédérer les équipes autour d'objectifs clairs, stables et mesurables et faire vivre une culture produit orientée qualité et performance. Construire et piloter le budget de la fonction Produit ainsi que l'organisation des équipes et des squads. Garantir le respect des budgets et plannings, anticiper les risques et contribuer à la résolution des écarts. Piloter la veille concurrentielle afin d'alimenter les orientations stratégiques et les roadmaps. Développer l'innovation et l'usage de l'IA dans les pratiques produit (discovery, spécification, design, tests, documentation), dans un cadre sécurisé et conforme. Représenter le produit auprès des dirigeants et arbitrer les décisions majeures inter-équipes. Environnement : Jira, Figma, Confluence, outils de data produit et solutions d'IA. Vos compétences Votre profil Diplômé(e) d'une école de commerce ou d'ingénieur (Bac+5), vous justifiez d'au moins 10 ans d'expérience en direction produit ou management d'équipes produit dans un environnement B2B / éditeur de logiciels. Orienté(e) business et marché, vous savez transformer les besoins clients et les enjeux commerciaux en stratégie produit. Vous êtes à l'aise avec les équipes commerciales, la gestion d'investissements et les arbitrages à forte valeur ajoutée. Compétences clés Stratégie et vision produit multi-produits Analyse de marché et veille concurrentielle Leadership et management d'équipes Construction et pilotage budgétaire Culture data-driven et indicateurs business IA appliquée au produit Méthodologies Agile / Scrum Qualités attendues Vision stratégique et sens des priorités Leadership et capacité à fédérer Sens de la décision et de l'arbitrage Aisance avec les dirigeants et parties prenantes Vision long terme et approche systémique Atouts appréciés Gestion de produits à cycle de vie long ou de portefeuilles complexes Expérience en environnement réglementé ou à forts enjeux de sécurité Connaissance du secteur public, des élections ou certification Agile Pourquoi nous rejoindre ? Un poste de direction à fort impact stratégique Une participation clé à une refonte technologique ambitieuse Une équipe Produit complète et structurée Un environnement Agile favorisant innovation, IA et amélioration continue Un cadre de travail attractif à Meylan, près de Grenoble Conditions CDI - jusqu'à 3 jours de télétravail par semaine Rémunération selon profil, avec environ 20 % de variable liée à l'atteinte des objectifs stratégiques Localisation : Meylan (38) Avantages : tickets restaurant, intéressement, séminaires d'entreprise Prise de poste : dès que possible Find more English Speaking Jobs in France on Arbeitnow

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the CONSUMER & COMMUNITY BANKING Trust and Security Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Required Qualifications, Capabilities, And Skills A. Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we're built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You'll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption Serve as the customer's trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer's critical business workflows and objectives. Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer's high value use case. Upskill Seeq's partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. Ability to assess and position Seeq's benefits relative to competitive products in the marketplace or in the customer's ecosystem. Work with the product team to design, implement, and test new functionalities that meet customer needs. Industry Expertise Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy. Requirements Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered. Minimum of 5-7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities. Examples of industrial process industries are chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc. Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise. Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams. Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences. Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus. Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. Prior experience using Seeq is highly preferred. Python programming skills is a plus. Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.). Benefits Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers' expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work. The Perks of Working at Seeq Competitive salary €111,000 - 129,000 depending on experience. Variable bonus Benefits: Unlimited PTO Generous home office allowance The best co-workers (we've analyzed the data, so we know it's true.) Pet-friendly workspace (your dog will be so happy to have you home) You love your job! Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas Find Jobs in Germany on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role Due to rapid growth in our partner lab network, we are seeking a Scientific Product Manager to join our Product team and bring partner labs and their experimental workflows onto the CuspAI platform. Your impact This is an exciting opportunity to join the product team at CuspAI, working closely with materials scientists, ML researchers and platform engineers to make AI-driven experimentation work in real laboratories. As one of a small team of Scientific Product Managers, you will take ownership of a set of partner labs and the lab integration work around them, translating what each lab actually needs into requirements our engineers and ML researchers can build against. Alongside the product work, you will spend real time with your partners' teams and their experimental data. What You Will Do Product Requirements & Roadmap Shape and prioritise the roadmap for how experimental data, protocols and campaigns get into the CuspAI platform, together with your fellow Scientific Product Managers, the engineering lead and the wider product team. Write requirements, specifications and acceptance criteria that engineers can build from, covering experiment types, instrument integrations and LIMS/ELN connections, and work with the data team on the underlying data models and provenance. Contribute to decisions on what we build, what we integrate, and what we leave to partners' existing systems. Partner Lab Onboarding Lead technical discovery with the partner labs you take on: map their workflows, instruments, sample logic and data systems, and pin down the true experimental unit and the parameters that matter. Own onboarding for your partner labs from scoping to the first closed-loop campaign, and turn each onboarding into reusable patterns and documentation shared across the team so the next one is faster. Act as the main scientific counterpart for the partner labs you look after, and represent the product in partner meetings, workshops and conferences. Closed-Loop Campaigns Work with ML researchers to design optimisation campaigns (e.g. Bayesian optimisation) that respect real experimental constraints such as throughput, noise and failed samples. Define how platform-driven campaigns are validated, including benchmarks against manual or legacy workflows, success metrics and the evidence we bring to partners. Must Have Skills and Qualifications: PhD in Materials Science, Chemistry, Physics, Chemical Engineering or a related experimental discipline, or equivalent experience in scientific research. Hands-on experience with high-throughput or automated experimentation (e.g. robotic synthesis, combinatorial libraries, automated characterisation, or self-driving / closed-loop labs) in industry, a national lab or research institute, or academia. Proven track record of translating scientific or process needs into requirements for engineers, software teams or automation vendors, and of validating that what was built works in the lab. Firsthand understanding of how experimental data is produced and where it fails: which metadata and provenance matter, instrument quirks, data quality issues, and what makes a dataset usable for machine learning. Depth in at least one materials domain (e.g. semiconductors and thin films including photovoltaics, catalysis and electrochemistry, energy materials including batteries, polymers and formulations, or separations and surfaces) and the curiosity to work across others. Working knowledge of Python for data handling and analysis; comfortable working with APIs and data schemas. Strong communicator and a proven collaborator, comfortable working directly with external partner labs as well as multidisciplinary science, ML, product and engineering teams. Bonus Points (But Not Critical): Direct experience with closed-loop optimisation in an automated setting, such as Bayesian optimisation, active learning or design of experiments. Experience with research data management, LIMS/ELN systems, FAIR data or metadata schemas, and familiarity with lab data standards (e.g. SiLA 2, AnIML, Allotrope). Instrument integration experience, including vendor software, data formats, and scheduling or orchestration. Product or project management experience, such as roadmaps, user research, external research collaborations or vendor relationships. We are equally open to strong experimental scientists making their first move into product. Experience working in industry at a materials, chemicals, energy or deep-tech company, or closely with industry at a research institution or national lab. Experience coordinating work across multiple labs, sites or countries. Additional Considerations This role could be based in any of our locations with the expectation of being in the office three days per week. Additionally, there may be regular travel required to partner labs and other locations for collaboration and project work. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in Netherlands on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. 🏠 Where you'll fit in: Kraken's technology is written and maintained by a multi-discipline engineering team of around 1,400 people globally, which includes server-side, client-side, and mobile engineers. We follow an agile way of working, where individual teams are given the freedom to choose the tools that are most appropriate for managing their work. Kraken is a great place to learn, work with talented engineers and level-up your skills. Some of our coding conventions are open-source. Our technology Our backend developers use Python. Most of our websites are powered by Django and GraphQL (Graphene). Our CircleCI CI/CD pipeline runs tens of thousands of tests, deploying into AWS EKS defined by Terraform over 100 times per day and observed with tools like Sentry and Datadog. This allows us to move fast and at scale, without compromising reliability. Teams work differently but the commitment to quality is the same. Developers at Kraken are empowered to use cutting-edge AI tools and models. Any generated code is still owned by a human. What we do Kraken Engineering has multiple disciplinary groups with their own management structures and teams working together to create a unified Kraken that can be deployed to any territory in the world to achieve clients' goals. Client Engineering is the development arm responsible for making sure our clients receive the best possible experience and their needs are met with high quality solutions. 🚀 What you'll own We have lots of difficult design challenges to solve. The French energy market is complicated, outdated and process-heavy - there's an awful lot of domain modelling that we need to get right. Strong attention to detail is essential. You will be working in a multi-disciplinary software engineering team; solving design challenges; domain modeling; solving technical problems; engineering solutions for smart meters, writing robust fault-tolerant software primarily in Python and Django, Celery, and async processing We have challenging technical problems to solve; like processing tens of millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into a machine learning pipeline that models and predicts consumption. Or thinking about how we adapt Kraken to improve other utilities like water and broadband. There's a great opportunity for disruption in the French energy market. The big suppliers still dominate, but are not exactly popular. The energy landscape is changing as we move to more dis-aggregated forms of generation, with less predictability, more dynamism and smarter technology. 🧠 What you bring to the party Python (minimum 7 y.e.) Django (or equiv. web framework) Fluent in French, and level B2 at least in English Domain modelling HTTP and REST APIs Writing robust and fault-tolerant software Celery and async processing Postgres ⭐️ Bonus points AWS Terraform, Packer, Consul React and Redux Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5. Check out our Welcome to the Jungle site ( FR / EN ) to learn more about our teams and culture. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at ----- and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find Jobs in France on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your programming skills to work on the firmware that helps Graphcore products start up, communicate and run reliably. As a Graduate Firmware Engineer, you'll help design, develop and deliver firmware for Graphcore's next generation products. Working closely with our silicon and hardware teams, you'll contribute to software that supports hardware bootup, power control, telemetry and monitoring. You'll write firmware to Graphcore standards, review code, contribute to technical discussions and help investigate issues. You'll also work with continuous integration, build systems and Agile practices. Your team and support The Firmware team develops the software that powers Graphcore hardware and silicon. We are involved in the design of hardware and software interfaces. You'll work with engineers across teams through technical design discussions, code reviews, Agile ceremonies, and practical problem solving. Technical evidence and open discussion guide our decisions, with shared responsibility for product quality. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. From day one you'll contribute your ideas and help colleagues investigate firmware issues. How you'll learn and grow During the two-year programme, you'll build your understanding of how embedded software enables complex hardware systems through hands-on firmware development. Work on bootup, power management protocols, telemetry and monitoring, writing the code that manages how our hardware behaves. Investigating issues will build your problem-solving skills, while continuous integration and build systems will show you how firmware is checked and prepared for delivery. Code reviews and technical discussions with engineers across teams will help you develop your engineering judgement, explain your approach and learn how firmware fits into the wider system. What we're looking for Bachelor's/Master's degree in Computer Science, Electronic Engineering, Maths or a related field Introductory experience with C or Python An understanding of continuous integration, build systems and software packaging best practices An interest in real-time embedded software, verification or complex embedded platforms Curiosity about server architecture, device drivers, operating system kernel development or server firmware security Bring a willingness to learn, ask questions and contribute to technical discussions with colleagues across teams You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Firmware Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your coding skills to work at the boundary of hardware and software, helping Graphcore's platforms perform at their best. As a Graduate Systems Software Engineer in the Drivers and Utilities team, you'll help plan, build, test and improve kernel drivers and user space driver libraries. Your code will support the wider software stack and help engineering teams and customers use Graphcore hardware efficiently and effectively. You'll write code to Graphcore standards, create unit tests, review code and manually test changes. You'll also support our continuous integration system and contribute to technical design discussions, learning how changes are developed, checked and integrated. Your team and support Systems Software brings together Firmware, Drivers and Utilities, and System QA. These teams enable the silicon and hardware platforms created across Graphcore. You'll work closely with hardware and software colleagues through design discussions, Scrum ceremonies, code reviews and testing. Technical evidence and the needs of the software stack help guide our decisions. As you find your feet with your buddy's assistance, you'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your code, ask questions early and learn from feedback. Speak up when you spot a problem or need support. While we expect more of a learning curve with graduates joining the team, everyone's contribution is valued and you may find your solutions to our most challenging problems being adopted – some of our previous graduates' ideas have even been accepted for patent applications in their first year with the company! How you'll learn and grow During the two-year programme, you'll build your understanding of how hardware and software interact through hands-on work on drivers and libraries. Writing and testing changes will help you develop your low-level programming skills and learn how to check that your code behaves as intended. Work on continuous integration will show you how automated checks support reliable software development. Code reviews, design discussions and practical problem solving with hardware and software teams will help you develop your engineering judgement, explain your approach and understand how your work fits into Graphcore's wider software stack. What we're looking for Experience with low-level software, such as embedded software, device drivers, or a university or personal project Basic electronics knowledge, including confidence reading schematics and datasheets Introductory coding experience in C, C++ or Python Practical Git experience, including branches, pull requests, reviews and merges, and awareness of Continuous Integration systems such as Jenkins Bring curiosity about how hardware and software platforms interact, a willingness to take responsibility for your work and openness to asking questions and learning from others You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Systems Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Help build the software that connects Graphcore hardware with the machine learning frameworks researchers and engineers rely on. As a Graduate Software Engineer across our Frameworks team, you'll develop software connecting Graphcore's machine learning accelerators with frameworks including PyTorch and Triton. You'll implement features, optimise performance, resolve defects and create tests and technical documentation. You'll write and improve tests, investigate issues and help make the software more reliable and faster. You'll also write clear documentation and take part in code reviews, discussing ideas and learning from feedback. Take ownership of clearly scoped tasks, with support from experienced colleagues as you learn your way around the codebase. Your team and support The Frameworks team works with tools including PyTorch and Triton Its work connects these tools with compilers, which translate code for hardware, and runtime software, which helps it execute. We plan and review work in short cycles using Scrum. You'll have clear priorities, regular feedback and opportunities to learn from colleagues working across software and hardware. Technical evidence and the needs of our users help guide our decisions. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. How you'll learn and grow During the two-year programme, you'll build your understanding of how software and hardware work together to run AI workloads. Hands-on tasks will help you develop your knowledge of compilers and runtime software, alongside your skills in testing, debugging and documentation. Code reviews and technical discussions will give you feedback on your approach and help you learn how other engineers solve problems. As you build confidence in the codebase, you'll learn how to turn an idea into a software feature, investigate how it behaves and explain your work to colleagues.[ What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Hands-on experience with Python or C++, with the ability to write clear, maintainable code, tests and documentation Practical experience or a strong academic understanding of compiler development, ML frameworks or a computationally intensive engineering field An interest in AI, machine learning frameworks, high-performance software or computer architecture, with curiosity and openness to learning through feedback and technical discussions You can demonstrate these skills through coursework, a dissertation, personal or team projects, placements, internships, open-source contributions or other relevant experience. Relevant modules and university projects count as evidence of your compiler knowledge. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in our Frameworks team, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Duration: 12 weeks Salary: £2500 per month Start date: June 2027 Application deadline: Midnight 29th November We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you'll work on Put your low-level programming skills to work on the drivers that connect Graphcore's AI hardware with machine learning software. As a Software Engineering Intern in Drivers and Utilities, you'll explore kernel and user-space development alongside engineers working across the hardware and software stack. Your contributions will help the wider software team use Graphcore hardware efficiently and support the systems our customers depend on. Your tasks could include writing code, adding unit tests and manually testing your own and teammates' changes. You'll also help maintain continuous integration (CI) and fix issues, contributing to the work that keeps software development moving. The team and culture The Drivers and Utilities team sits within System Software, alongside Firmware and System QA. You'll work with engineers who collaborate directly with Poplar SDK developers, silicon engineers and hardware engineers. Technical design discussions, code reviews and Scrum sessions will help you understand how the team develops and coordinates its work. You can ask for help as you learn the codebase, discuss different approaches and use feedback to improve your changes. Decisions are shaped by design discussions, code reviews and test results. As an intern, you'll be encouraged to ask questions, share ideas and flag problems early, with support from experienced engineers as you learn. How you'll learn and grow Over the 12 weeks, you'll build practical experience in low-level software development, testing and continuous integration through the work your tasks focus on. Following changes from an initial idea through implementation and testing will help you understand what makes driver software reliable. You'll learn how to check your work, investigate issues and contribute to a shared codebase, gaining a clearer view of a career close to the hardware. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you've graduated. What we're looking for Currently studying for a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Low-level software experience, such as embedded code or device drivers, and introductory programming experience in C, C++ or Python. Personal or university projects count Basic electronics knowledge, including the ability to read and understand schematics and datasheets Awareness of continuous integration systems such as Jenkins, plus experience using Git to manage source code, raise and review pull requests, and merge branches Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: From semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You'll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you'll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking an experienced and visionary Engineering Manager to lead one of our data engineering team. In this role, you will be responsible for managing and scaling data products, driving data pipeline development, and ensuring the availability, quality, and security of our data assets. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and software engineers to enable data-driven decision-making across the organization. What you'll be doing: Lead, mentor, and grow a high-performing team of data engineers. Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. Ensure data quality, consistency, and security across all data engineering workflows. Define best practices and standards for data engineering and promote their adoption. Drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark,dbt). Collaborate with PMs to manage project timelines, resource allocation, and deliverables to meet business goals. Work with data governance and compliance teams to ensure data privacy and regulatory compliance. Stay updated with the latest data engineering trends and technologies and evaluate their applicability. What you'll need: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership/management position. Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions. Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc. Experience with relational and NoSQL databases. Solid understanding of data modeling, data architecture, engineering frameworks Proven ability to lead and scale engineering teams and manage cross-functional projects. Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical stakeholders. Experience with agile development methodologies. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide. Find Jobs in United Kingdom on Arbeitnow

Work on the mission-critical Java back end At Schuberg Philis, we don't just deliver IT solutions, we design, build, and run mission-critical systems that our customers rely on every single day. From infrastructure to cloud-native platforms, every layer of technology is crafted with one goal in mind: uncompromising reliability and excellence. We take pride in working shoulder-to-shoulder with our customers, ensuring their most vital operations run smoothly, no matter how complex the challenge. We are looking for an experienced Java Software Engineer to work with one of our biggest banking customers, delivering business value using cloud technologies and a DevOps way of working. As a Java software engineer, you will be responsible for the development of core business features for our customer and for improving its software delivery capabilities, working closely with internal stakeholders and other DevOps teams. You will work daily within a DevOps team where your colleagues will expect you to maintain a wide overview while guarding aspects like quality, security, and planning. What you'll do: Design, build and run Java-based micro-services and APIs that support business‑critical banking processes Work end-to-end: from clarifying requirements and refining user stories to development, testing, deployment and operations Collaborate closely with other DevOps teams, architects and business stakeholders to deliver secure, reliable and scalable solutions Contribute to improving engineering practices: code quality, testing, CI/CD pipelines, monitoring, and automation Help the team keep production stable, with a strong focus on reliability, security, observability and incident prevention Stay up to date with modern engineering practices and bring in ideas to improve the platform and the way we work Ideally, you have: Strong hands-on Java experience (preferably Java 17+) Solid experience with Spring Boot Experience designing and building RESTful APIs and system integrations Experience with Java-based microservices in production A track record of writing testable, maintainable, high-quality code Experience working in a professional development team (code reviews, CI/CD, etc.) We're also open to engineers with a strong background in other languages (e.g. Kotlin, .NET, C++) plus at least ~3 years of recent, hands-on Java experience. What would be a great plus for us? You don't need all of these. Having some of them – or strong interest and the ability to learn – is a plus: Experience with Kotlin or other JVM languages Knowledge of Authentication and Authorization protocols (OIDC / OAuth2, etc) Experience with DevOps practices and tools (preferably Azure DevOps) Experience with public cloud (AWS and/or Azure) Infrastructure as Code experience (e.g. Terraform) Experience working in Agile/Scrum teams Everyone we work with and consider working with has a right to equal treatment. The hiring and appraisal process at Schuberg Philis is designed to be thorough and equitable, implementing fair payment, benefits, and opportunities across all demographics. It is our desire to be a company that brings together multiple nationalities, cultures, religions, genders, abilities, and talents within and across our teams. We welcome colleagues from diverse backgrounds to join Schuberg Philis and actively support diversity and inclusion in the tech industry. Find more English Speaking Jobs in Netherlands on Arbeitnow