Automation Operation System Engineer Jobs

Dans le présent document, les termes employés pour désigner des personnes sont pris au sens générique; ils ont à la fois valeur d’un féminin et d’un masculin. Chez Lyft, notre mission est de servir et de connecter. Nous y parvenons en favorisant un environnement de travail où chacun trouve sa place et a la possibilité de s'épanouir. Lyft a d'abord vu le jour à San Francisco en tant que réseau de covoiturage qui s'appuyait sur les dons. Maintenant Lyft facilite le transport de millions de personnes chaque jour dans plus de 200 villes. Nous évoluons vers un monde où le transport sur demande est une alternative viable à la possession d'un véhicule et nous avons besoin de l'aide de gens visionnaires et perspicaces pour y arriver. Notre équipe est reconnue pour l'élaboration de fonctionnalités riches et créatives qui établissent la norme pour l'industrie du covoiturage, du vélopartage et des trottinettes en libre-service. Nous innovons constamment et intégrons des technologies de pointe pour améliorer la vie dans communautés. Notre bureau de Montréal a mis sur pied le premier système automatisé de vélopartage en Amérique, un système qui a depuis été déployé dans bon nombre de villes partout dans le monde (Londres, Montréal, New York et San Francisco, pour n'en nommer que quelques-unes). Ce sont aussi certains des plus importants systèmes de vélopartage au monde! L'équipe « Vélos et trottinettes » de Lyft s'active à développer le futur de la micromobilité et est à la recherche d'un ingénieur logiciel expérimenté et fiable pour se joindre à notre équipe responsable de la plateforme logicielle des stations, afin de nous aider à migrer nos clients sur notre plus récente plateforme et contribuer à l'évolution celle-ci vers une solution qui pourra être utilisée dans différents marchés et être adaptée à divers modèles d'entreprises. Les entrevues et interactions techniques avec les autres bureaux de l'entreprise se feront en anglais, mais l'environnement de travail à Mont

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Collection Strategy & Analytics - Develop strategies for all collections related activities and ensure that the processes are followed as planned Analyzing the data and Implementing different collection strategies with Data Science Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations. Develop and implement advanced analytics approaches including statistical modelling Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line. Break down the Loss forecasts into collections roll rates and recovery rates Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets Analyzing data: Performing quantitative and qualitative analysis on accounts. Developing strategies: Developing collection strategies based on insights from stakeholders. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies. Improving processes: Automating processes, data, and models to improve productivity. Forecasting losses: Increasing the accuracy of loss-forecasting strategies. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation. Meeting regulatory requirements: Applying individualized c

Overview The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, along with a plethora of AI-facilitated data and content. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. What You’ll Do: Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side and PE clients Work with our AI team to systematize diligence questions with the goals of automating certain fundamental research solutions Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Must possess exceptional written and spoken English skills at a professional level Bachelor’s degree or Master’s degree 7 years or more of deep fundamental analyst experience ideally in a Private Equity setting Must follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporates on either the sell-side or buy-side. Some familiarity with capital structure or credit analysis, via the Broadly Syndicated Loan or Private Credit / Direct Lending markets. Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional

Notre mission et nos clients : Nous créons la liberté pour que les PME réussissent, en proposant le premier espace de travail financier en Europe — avec la banque au cœur, enrichi d'outils financiers. Nous sommes fiers d'être notés 4,8 sur Trustpilot, sur la base de plus de 55 000 avis. Notre culture place la satisfaction client au cœur de tout ce que nous faisons, comme en témoigne notre Net Promoter Score de 75 (en savoir plus sur notre culture ici). Notre histoire : Fondé en 2017 par Alexandre et Steve, Qonto a grandi pour atteindre plus de 1 700 Qontoers, qui servent plus de 750 000 clients dans 8 pays européens. Rentables depuis 2023, nous n'en sommes qu'au début. Nos convictions : Nous recrutons sur les compétences et le potentiel. Avec plus de 80 nationalités, 45 % de femmes — dont 56 % au sein de notre équipe dirigeante — la diversité n'est pas un programme : c'est qui nous sommes. Nous avons construit un processus de recrutement sans discrimination, parce que les meilleures équipes se construisent sur le mérite. L'IA chez Qonto : L'IA est profondément ancrée dans notre façon de travailler (ici) — chaque Qontoer a un accès illimité aux meilleurs outils d'IA. Nous cherchons des personnes qui expérimentent sans attendre la permission, qui poussent l'IA au-delà de l'évident, et qui savent quand lui faire confiance — et quand la remettre en question. En juillet 2026, Qonto a racheté Acasi pour construire la première offre bancaire et comptable vraiment intégrée pour les entrepreneurs. Notre conviction : les entrepreneurs méritent une comptabilité certifiée, intégrée directement à leurs outils, pilotée par des pros qui ont du temps pour conseiller plutôt que pour saisir. L'IA automatise ce qui peut l'être, et le métier se déplace vers ce qui a toujours eu le plus de valeur : le conseil et la relation client. En tant que Chef de mission Comptable, tu rejoindras un département en hypercroissance au cœur de cette transformation, avec une équipe de 7 à 10 collabor

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the Developer Expe

Notre mission et nos clients : Nous créons la liberté pour que les PME réussissent, en proposant le premier espace de travail financier en Europe — avec la banque au cœur, enrichi d'outils financiers. Nous sommes fiers d'être notés 4,8 sur Trustpilot, sur la base de plus de 55 000 avis. Notre culture place la satisfaction client au cœur de tout ce que nous faisons, comme en témoigne notre Net Promoter Score de 75 (en savoir plus sur notre culture ici). Notre histoire : Fondé en 2017 par Alexandre et Steve, Qonto a grandi pour atteindre plus de 1 700 Qontoers, qui servent plus de 750 000 clients dans 8 pays européens. Rentables depuis 2023, nous n'en sommes qu'au début. Nos convictions : Nous recrutons sur les compétences et le potentiel. Avec plus de 80 nationalités, 45 % de femmes — dont 56 % au sein de notre équipe dirigeante — la diversité n'est pas un programme : c'est qui nous sommes. Nous avons construit un processus de recrutement sans discrimination, parce que les meilleures équipes se construisent sur le mérite. L'IA chez Qonto : L'IA est profondément ancrée dans notre façon de travailler (ici) — chaque Qontoer a un accès illimité aux meilleurs outils d'IA. Nous cherchons des personnes qui expérimentent sans attendre la permission, qui poussent l'IA au-delà de l'évident, et qui savent quand lui faire confiance — et quand la remettre en question. En juillet 2026, Qonto a racheté Acasi pour construire la première offre bancaire et comptable vraiment intégrée pour les entrepreneurs. Notre conviction : les entrepreneurs méritent une comptabilité certifiée, intégrée directement à leurs outils, pilotée par des pros qui ont du temps pour conseiller plutôt que pour saisir. L'IA automatise ce qui peut l'être, et le métier se déplace vers ce qui a toujours eu le plus de valeur : le conseil et la relation client. En tant que Collaborateur Comptable Expérimenté ou Mémorialiste, tu rejoindras une équipe en hypercroissance au cœur de cette transformation, avec un port

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role You will join Everpure’s Datastore team to design, develop, and validate embedded firmware for our DirectFlash™ modules. In this role, you will work across firmware and hardware boundaries to build reliable, high-performance storage solutions, while also developing virtual platforms and tooling that accelerate development, debugging, and validation. You will collaborate closely with cross-functional engineering teams to solve complex system-level problems and help deliver innovative products to market. Comment end What You Will Be Doing Pure Storage is seeking a full-time Embedded Firmware Engineer to join our device firmware team. You will be responsible for developing high-fidelity virtual platforms that abstract complex hardware behaviors to accelerate SSD firmware development. In this role, you will be responsible for: Developing and maintaining comprehensive firmware simulation environments (e.g., QEMU) to enable shift-left testing, reducing dependency on physical hardware and accelerating time-to-market. Creating accurate, high-fidelity hardware models to abstract controller logic, communication interfaces (PCIe, NVMe), and NAND media behaviors within Pure Storage’s DirectFlash™ SSD Modules. Designing and implementing instrumentation tools to profile performance and analyze failures within the simulated environment. Automating CI/CD pipelines to seamlessly integrate simulation and virtual

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the team: Our Scal

Notre mission et nos clients : Nous créons la liberté pour que les PME réussissent, en proposant le premier espace de travail financier en Europe — avec la banque au cœur, enrichi d'outils financiers. Nous sommes fiers d'être notés 4,8 sur Trustpilot, sur la base de plus de 55 000 avis. Notre culture place la satisfaction client au cœur de tout ce que nous faisons, comme en témoigne notre Net Promoter Score de 75 (en savoir plus sur notre culture ici). Notre histoire : Fondé en 2017 par Alexandre et Steve, Qonto a grandi pour atteindre plus de 1 600 Qontoers, qui servent plus de 600 000 clients dans 8 pays européens. Rentables depuis 2023, nous n'en sommes qu'au début. Nos convictions : Nous recrutons sur les compétences et le potentiel. Avec plus de 80 nationalités, 45 % de femmes — dont 56 % au sein de notre équipe dirigeante — la diversité n'est pas un programme : c'est qui nous sommes. Nous avons construit un processus de recrutement sans discrimination, parce que les meilleures équipes se construisent sur le mérite. L'IA chez Qonto : L'IA est profondément ancrée dans notre façon de travailler (ici) — chaque Qontoer a un accès illimité aux meilleurs outils d'IA. Nous cherchons des personnes qui expérimentent sans attendre la permission, qui poussent l'IA au-delà de l'évident, et qui savent quand lui faire confiance — et quand la remettre en question. En juillet 2026, Qonto a racheté Acasi pour construire la première offre bancaire et comptable vraiment intégrée pour les entrepreneurs. Notre conviction : les entrepreneurs méritent une comptabilité certifiée, intégrée directement à leurs outils, pilotée par des pros qui ont du temps pour conseiller plutôt que saisir. L'IA automatise ce qui peut l'être, et le métier se déplace vers ce qui a toujours eu le plus de valeur : le conseil et la relation client. En tant que Collaborateur·rice Comptable, tu rejoindras une équipe en hypercroissance au cœur de cette transformation, avec un portefeuille de clients à pilote

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

Dynamic Developer Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You'll Do We are looking for a Microsoft Dynamics Developer with expertise in building enterprise-level applications using Microsoft Dynamics (Customer Service Module) and Power Apps. The successful candidate will be highly motivated and will have significant experience with the architecture, design, and development of applications on Microsoft Dynamics and the Power Platform, along with strong communication skills. The candidate will work on core platform engineering initiatives, including security, resiliency, scalability, observability, product upgrades, and data integrations between Dynamics and on-prem systems as needed. In addition, the candidate will support business-aligned squads by providing solution design guidance, reviewing code and configurations, building common tools and functions, and automating DevOps at scale. - Work with the Product Owner and stakeholders to understand requirements, perform analysis, and develop project plans. - Collaborate with Security, Identity Management, the Central Power Engineering team, Networking, and Exchange/email teams to maintain a stable and sustainable platform. - Define solution architecture and design. - Build Dynamics functionality iteratively, with full unit and integration testing for each function. - Integrate external systems data using Service Bus, Azure Data Factory, Azure Logic Apps, and data migration capabilities. - Support AI Builder and Copilot Studio integrations with Dynamics. - Support release deployments and provide post-production support. Required Skills: Experience with Microsoft Dynamics 365 Customer Service Experience with Power Apps, Power Au

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team Frontier models are fungible. Any team can rent the same intelligence we can, and the model we build on today will be replaced within a month. What is not fungible is the infrastructure that decides whether an autonomous system's output can be trusted — evaluation, verification, and the discipline to gate on evidence instead of impressions. Nuro has spent a decade building exactly that discipline for a robot that drives on public roads, and this team turns it inward: we build the platform that lets AI agents operate autonomously inside Nuro's own engineering organization, under the same standard of proof we apply to the vehicle. Our mandate is to amplify the output of every engineer and researcher at Nuro by 100x. Not a better IDE, not a faster build — a change in what a single person can attempt. That number is a target, not a claim, and reaching it depends on one thing above all: autonomous work has to be trustworthy enough to run unattended. So our central ambition is to build the most rigorous closed-loop evaluation system for AI work anywhere. Leverage follows from trust, and trust follows from measurement. We operate as a startup inside a company that has already shipped a hard thing. Small team, no established playbook, direct access to compute and to the systems we are automating. You will work directly with engineering leadership and the CEO, and the deci

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Role Mission As our Digital Advertising Data Analyst, you won't just be moving data—you'll be defending our revenue and driving our growth. You will bridge the gap between complex datasets and high-pressure business decisions. Whether you are uncovering a campaign's "hidden" success to secure a contract renewal or identifying sophisticated ad fraud to protect a client's budget, your insights will be the backbone of our commercial strategy. Key Responsibilities Performance Optimization : Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs. Fraud Defense : Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic. Stakeholder Communication : Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason." Technical Requirements To succeed in this role, you must be a power user of our primary stack: SQL: Expert level. Ability to rapidly write complex, performant queries across large, nested datasets. Python: Proficient in data manipulation (Pandas/NumPy) and automating repetitive reporting tasks. Tableau: Ability to build intuitive, client-facing dashboards that tell a story at a glance. Google Sheets: Advanced capabilities for quick-turnaround tactical analysis. The Ideal Candidate Battle-Tested: You have thick skin. You can stay calm and objective when presenting data to stressed stakeholders or skeptical clients. Business Intuition

About the Job: Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly. In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job. In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job. This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world. Responsibilities: Own the Experimentation pillar. Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them. Make experimentation the measurement layer of the AI SDLC. Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents. Win the high-maturity buyer. Earn the technical confidence of senior d