Senior Staff Full Stack Engineer Jobs

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about people? If so, you might be our next Senior managing consultant. About us Retail Insights is Northern Europe’s leading retail forum. We are strengthening the retail ecosystem by building a platform for insights, inspiration, and networking, connecting more than 3,000 leaders yearly from more than 15 countries. Retail Insights is part of United Media ( https://www.united-media.com/ ) which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. What we offer you As our Senior managing consultant you get the unique opportunity of being a key driver of our exponential growth curve. You’ll be working in-person in your HQ in Copenhagen where you will constantly be pushed out of your comfort zone. To ensure a never ending growth curve, we provide you with: Opportunity of having a real impact - You’ll be getting operational experience in a start-up where both your work and the results are highly tangible and matter to the business. Inspiration and guidance - A chance to work closely with our high performing team as well as with the CEO and founder of our company. Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally. Travel opportunity: You would be joining our conferences overseas. Invaluable transferable skills - boost your interpersonal, research, organisation, outreach and project management skills through experience and training. Your Responsibilities Responsibilities in this job will be defined as we work together throughout the recruitment process however, they will be mostly centred around: Thinking progre

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Senior Workforce Manager to own the global capacity planning framework across all of Qonto's Ops factories. You'll set the methodology every factory uses, hold the consolidated budget view, and be the senior owner of BPO relationships at a strategic and contractual level. This is a hands-on build-and-run role: you'll design the model and direct its rollout, under the guidance of Marie Piquemil, our Head of Operations Enablement. ➡️ What you'll do Design and own the capacity planning framework: You'll build the reference model and set the forecasting cadence, templates, and definitions every factory's WFM analyst works from. Optimise the internal vs. BPO capacity mix: You'll build the system that determines the right balance of internal agents and BPO

Présentation du poste : Nous recherchons un(e) Senior Data Consultant(e) pour accompagner la transformation Data & IA de nos clients C-Level (COMEX, marketing, digital, supply-chain, opérations, customer support, IT...). Le/la consultant(e) pilote avec une large autonomie des projets complets de bout en bout, supervisé(e) par un n+1 (manager, directeur, partner), et encadre les consultants plus juniors. Missions : Piloter un ou plusieurs streams : garantir le delivery, identifier les points de blocage, proposer des solutions, assurer la gestion de projet (documentation, planning, comptes-rendus) Encadrer et donner des feedbacks constructifs aux membres juniors de l'équipe Produire de manière autonome les livrables de mission : présentations, benchmarks, études de cas, workshop decks, sections steerco Rédiger des storylines et concevoir des slides percutantes Animer les interviews et workshops clients Construire une relation de confiance avec les clients et identifier des opportunités business Contribuer au développement d'Artefact : développement d'une offre, d'une industrie, d'un chapter ou d'un partenariat école ; participation au recrutement et à la formation des nouveaux arrivants Soutenir et développer une ou plusieurs expertises internes (stratégie, data governance, data marketing...) via la construction d'offres, la formation, ou des actions marketing Profil recherché : 2 à 3 ans d'expérience professionnelle en cabinet de conseil Double profil "business" et "data" : curieux(se), passionné(e) par la data et les évolutions technologiques Esprit analytique, goût pour la résolution de problèmes Expérience en gestion de clients et identification d'opportunités commerciales Maîtrise de la Suite Google/Pack Office et des outils de workshop ; excellente communication en français et en anglais (écrit/oral) Pourquoi nous rejoindre : Localisation en plein cœur de Paris (9ème arrondissement) Environnement pluridisciplinair

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the role Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development , you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams. Responsibilities Key owner of sizable engineering projects and services Lead system designs and provide technical guidance to team members. Mentor engineers in cross-team development processes. Lead code reviews to ensure high quality coding standards Facilitate agile process collaborating with cross-functional teams. Initiate and lead team-level technical, process and growth initiatives Continuously improve the system's observability, incident management, DevOps and production operational SOPs. Develop and operate scalable, reliable and maintainable service-based softwares and related components. Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc. Profiling and performance tuning of critical components Participate in idea brainstorming and contribute ideas to technology, algorithms and products P

Présentation du poste : Au sein de l’équipe technique d’Artefact, vous rejoignez une communauté de Software Engineers intervenant en tant qu'architectes et développeurs auprès de grands groupes mondiaux. Dans un contexte de forte accélération autour de la Data et de l’IA Generative, vous intervenez pour répondre à des problématiques stratégiques et complexes d'ingénierie logicielle. Ce qu’on attend de vous : En tant que profil Senior, vous concevez et déployez des architectures robustes (Data Platforms, Agentic Platforms), tout en encadrant les choix techniques et la qualité des livrables. Vous jouez un rôle clé dans l'épanouissement de l'équipe à travers le mentoring, les revues de code et le partage de bonnes pratiques sur des stacks modernes. Vos missions : Concevoir et déployer des architectures Data & IA complexes et scalables (ex. architectures Médaillon, solutions multi-agents LangGraph sur Kubernetes). Construire des Data Platforms robustes sur GCP, AWS, Azure ou Snowflake en appliquant les principes de l'Infrastructure as Code (IaC). Intégrer les technologies GenAI et LLM au sein de systèmes complexes (orchestration, évaluation, contrôle) et utiliser des coding agents au quotidien pour optimiser la productivité. Garantir la qualité du code, la sécurité et la performance des livrables en appliquant les meilleures pratiques de Software Engineering. Accompagner et faire monter en compétences les membres de l'équipe à travers des revues de code formatrices et du mentoring. Défendre et soutenir de manière pédagogique des convictions techniques fortes auprès des clients et des équipes. Participer activement à la vie de la communauté technique (Guildes, Talks Tech, REX) et au partage de connaissances. Profil recherché : Expérience & Mindset : Profil Senior ingénieux, curieux et exigeant, disposant d'une solide expérience en ingénierie logicielle et sur des architectures complexes en production. Résolution de problèmes : Capacités d'

We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise Engineering at Vise has the unique opportunity to use technology to revolutionize the investment industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small and fast-paced team where everyone has a voice in the development of our product and technology. As a senior full-stack software engineer, you will play a flexible role across our product—working on everything from our core portfolio creation engine to our trading system to our client-facing web application. You will have significant ownership and will have the opportunity to impact everything from requirements gathering and designing systems to implementation, release, and monitoring. This is a high visibility technical leadership role with a tremendous opportunity to impact the company’s trajectory. Please note, this role is primarily onsite, working from our SoHo office. What you will do Lead the implementation of the systems that power and scale our business Uncover and address system bottlenecks as we mature our tech stack Partner with the Product team to provide impactful, measurable and testable solutions for our customers When appropriate, coach and mentor engineers on best practices Advocate for best in class technology and tooling to improve the development experience Contribute to operational excellence What you will bring on Day 1 5+ years of software development experience outside of education and internships Experience with backend and frontend languages. Our stack includes Python, Golang, TypeScript, so direct experience working with these is a big plus. Experience with React and a familiarity with the latest frontend frameworks and tools Experience with relational databases — we use Postgres. Firm understanding of data structu

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with security and systems that handle sen

P-951 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deliverables. M

As a Software Engineer - Frontend on a feature team, you'll be responsible for building an intuitive, responsive product. Your work will help thousands of customers to monitor the health and performance of their systems, no matter the scale. In this capacity, you’ll use tools like React and Typescript to help streamline the flow of data from platform to user, enable seamless pivots from one view to the next, and build a powerful yet easy-to-use platform. You will work on complex frontend challenges for thousands of customers with huge sets of data and work on exciting scalability and performance challenges. Our users are also developers so you will feel close to the product and have an impact on the development world. You will be part of a front-end community of 200+ passionate frontend engineers and you will be surrounded by experts. Join us to build the next generation of high-scale, data-powered features for our customers. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work closely with backend engineers, product managers and designers to inform/refine/validate design concepts Break down complex features into distributable engineering tasks and rollout plans Design and deliver features that have direct impact on thousands of users Experiment with and advocate for new systems, design patterns, and tooling Participate in hackathons, sync with other Front end engineers at the monthly demos meeting and yearly Front End summit Use and contribute to a best-in-class in-house design system Own meaningful parts of our service, improve performance and address scalability limits Work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challen

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Engineering team builds and maintains the foundational datasets that power decision-making across Robinhood. We design reliable, scalable data systems that support product analytics, growth strategy, financial reporting, experimentation, and machine learning. The team partners closely with Product, Engineering, Data Science, and Finance to ensure accurate, well-modeled data is available to teams across the company. Our work directly influences how Robinhood measures performance, improves customer experience, and scales its products. As a Senior Data Engineer, you will design, build, and evolve core datasets that track product performance and company-wide metrics. You will develop scalable data pipelines that ingest application events and database snapshots into our data lake, ensuring high data quality and reliability. You’ll collaborate with application engineers to improve data generation patterns and with analytics teams to design intuitive, well-documented data models. This is an opportunity to shape the technical foundation that supports data-informed decisions across the organization! This role is based in our Menlo Park, CA office, with in-person attend

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Software Engineer, you will be directly responsible for Palantir’s observability platform. This includes everything from log/metric/trace ingestion and processing, monitoring and alerting solutions, and all other workflows on top of the observability data. This role will have a direct impact on Palantir’s ability to scale our engineering efforts through these investments. You have a deep systems background and value technical excellence, and consistently raise the bar for your team’s technical execution. You know how to balance providing value to your users while building defensive systems that are operationally sound and easy to maintain. Core Responsibilities Partner with our extended leadership team to set and define a technical strategy for your team aligned with the wider team strategy. Build and champion a long-term tech roadmap to reduce operational burden, ensure scalability, reduce risk, and guide your team towards step-changes whenever possible. Be technically involved and engage in substantive discussion when reviewing technical roadmaps and project implementation with the team. Work closely with teammates and stakeholders to enable sustainable and timely delivery of technical solutions to address business needs. Facilitate partnerships between engineering teams and operators to build innovative products that help Palantir scale. Act as a multiplier for other engineers on the team. Define where the technical bar should be, and help engineers achieve it. Lead engineers and accelerate their growth by providing thoughtful feedback, technical mentorship, and effectively manage performance.

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way . At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all

P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others. The impact you will have: Build and extend components of the core Databricks infrastructure Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers Improve software development workflows for engineering and operational efficiency. Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement. Develop automated build, test, and release infrastructures. Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harness

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs 6+ years of experience Bonus points: You've worked at high scale with systems like Redis, Cassandra, Kafka You wrote your own data pipelines once or twice before You have a strong background in statistics You have significant experience with Go, C, or Python You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualificat