System Hardware Engineer in Amsterdam

P-1319 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 across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: BS (or higher) in Computer Science, or a related field 7+ 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. Good knowledge of SQL. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worl

P-1318 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 across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: BS (or higher) in Computer Science, or a related field 3+ 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. Good knowledge of SQL. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worl

P-1317 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 across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: BS (or higher) in Computer Science, or a related field 2+ 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. Good knowledge of SQL. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worl

P-969 At Databricks, we are passionate about helping data teams 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. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of

REQ ID: FEQ227R147 Location: Netherlands (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches fo

As Head of Product, your mission is to lead the product organization that builds what our users bank with every day, ensuring they get the safe, smart and effortless banking they expect. Why this matters: At bunq, our mission is to Make Life Easy, for our users, our teams, and the world around us. Every team plays a unique role in making this mission a reality. The Product team does this by building and improving the products our users bank with, while keeping them safe and compliant. As Head of Product, you contribute by setting product direction and leading the product leaders who deliver it, helping us grow as the bank of The Free. Take ownership: As Head of Product, you’ll take charge of key responsibilities that directly impact bunq’s growth and our users’ seamless experience: Grow our users’ use of bunq’s products by leading product strategy and delivery for your area. Keep growth and safety moving together, so that fraud, compliance and quality are built into the products rather than bolted on. Build a strong, AI-first product organization by leading Product Owners and Team Leads, and redesigning how the function works around AI agents instead of adding headcount by default. Be bunq’s product voice with the management board, regulators, auditors and partners. You’ve led a technical product organization and can get hands-on when needed. Size of organization isn’t the bar. You have product leadership experience in a regulated financial services setting. You understand payments and fraud, and you have data analysis skills and engineering depth. You have experience working with regulators and across multiple markets. You’re skilled at stakeholder management at management-board level. You have AI fluency at the AI Architect level: you design AI-native systems, not only use AI tools.

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

(FEQ128R2) The Role As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. The impact you will have: Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. What we look for: Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distrib

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. We’re looking for a Product Designer for our Customs & Trade Services team. In this role, you’ll design the tools that enable users to navigate customs, compliance, and ever-changing regulations across global shipments. You’ll drive design decisions, simplify highly complex customs processes, and help shape how technology transforms an industry undergoing significant modernisation. Your work will set a high standard for design quality, support global trade compliance, and influence the direction of products with broad impact for both customers and internal teams. You Will: Apply a systems-thinking mindset to design decisions, proactively addressing edge cases to deliver robust, high-impact solutions. Conduct user research and gather insights. Leverage AI and emerging technologies to drive efficiency and elevate design outcomes. Collaborate across functions to define and execute the design vision and strategy in a complex, rapidly evolving environment. Give and solicit feedback from other designers to continually raise our bar for quality. Build prototypes to share and test concepts. Translate deep user research into actionable requirements that champion u

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Support Tooling and Infrastructure Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Customer Support Infrastructure Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools suc

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Salesforce Integration Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Salesforce Integration Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools such as QA, WFM, and tel

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Customer Support Technology Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Customer Support Technology Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools such as QA, WF

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Service Cloud Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Service Cloud Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools such as QA, WFM, and telephony platforms.&

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Head of Engineering: Financial Data Experience At Adyen, payments and money movement are central to what we do. As the Head of Engineering for Financial Data Experience, you make sure our customers never have to work out where their money went. You build the datasets and experiences that our global merchants, regulators and Adyen Finance rely on to trust their numbers. Each of them receives fully explained financial data in a format they can verify and audit. You do this by defining what a payment, a fee, a payout or a correction looks like to a customer, and what our reconciliation experiences and reports actually show. This role bridges the gap between Adyen's internal ledger complexity and the unified, customer-facing money movement experience. The goal is an automated, self-serve, trustworthy experience. What You Will Do As Head of Engineering, reporting to the SVP of Engineering and working with peers across Payments, Financial Products, Platform, Compliance and Finance, your focus will be: Own the customer-facing model of money movement for merchants, regulators, and Adyen Finance, ensuring data reflects the merchant's entities and periods rather than mirroring internal systems. Own how that data is delivered: datasets, reports, files and dashboards, on the same terms for every team that publishes through us. Create an e

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with