Field Application Engineer Cabinet Efficiency in Amsterdam

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. Android - AOSP Engineer - Device Foundations Adyen’s device foundations and fleet of payment devices is growing exponentially with every passing month. We are bringing thousands of devices to the field every month with a wide variety of models and this doesn’t come without challenges. We are looking for an Android Engineer with AOSP experience to help us in taking full control over the Android OS. What you will do: Lead the Android AOSP efforts in order to build a strong and flexible foundation for our Android payments application Engage in cross-functional conversations with product management, software engineering and hardware engineering teams to ensure the best payment experience for our merchants Drive conversations with SOC (system on chip) vendors and terminal vendors in order to secure high performing components Ensure software quality by using the latest technologies and frameworks in Android OS engineering Coach team members to grow the team with the right skill set Who you are: 5+ years of experience working with the Android OS. In-depth understanding of the Android OS, spanning from secure boot and the Linux Kernel up to the Java Framework integration. Proficient in C/C++. Knowledge of Java and/or Kotlin is a plus. Experience working with source control tools such as Git, Repo, Gerrit, GitHub, and with Androi

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

REQ ID: CSQ427R198 Location: Amsterdam, Netherlands Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML What we look for: Extensive experience managing, hiring, and building a team of high-performing data

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen

(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

(FEQ427R544) Role Summary As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated to enterprise Named Accounts across the Benelux region. You will operate at the intersection of deep technology and business strategy, driving platform adoption and enterprise AI initiatives. As a technically credible coach and AI builder , you will spend meaningful time in the field (~30-40%) partnering with customer executives and internal Sales counterparts. You will lead by example to instil an AI-Builder Mindset across your team, establish rigorous operational inspection cadences, coach SAs through complex architecture designs without taking the pen, and decisively build an elite pre-sales organisation. The Impact You Will Have Build & Scale Elite Teams: Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing high standards for technical excellence, inclusive leadership, and decisive performance management. Drive AI Adoption & Capabilities: Lead by example as an AI practitioner, embedding AI tools into team workflows and driving scalable capability across the organisation. Act as a Customer Advisor: Build trusted relationships with C-level and senior technical executives across customer accounts. Translate complex platform capabilities into measurable business ROI (e.g., predictive maintenance, yield optimisation, supply chain resilience). Drive Operational Execution: Co-own regional consumption and growth targets with Sales partners. Maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy. Technically Coach the Field: Serve as an architectural sounding board for your team. Diagnose platform designs, spot failure modes in distributed systems or AI infrastructure, and coach SAs to refine architectures independently. Expand Benelux Presence: Serve as a key regional leader helping build Databricks' brand and

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

(FEQ427R727) The Role We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry. You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies. This will be driven in partnership with regional account executives and the global account team. As a Senior Solutions Architect at Databricks, you will come with an informed and compelling point of view on the Data, Analytics and AI space, which will guide your technical strategy and, together with our teams and partners, allow you to provide exceptional value and build lasting trust with executives and technical champions at the account. The Impact You Will Have Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy. Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows (Agent Bricks, AI Functions, LLMOps). Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team. Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms. Orchestrate cross-functional teams (Delivery & Specialist SAs, Partners, Product) to deliver enterprise-grade solutions. Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation. Contribute to Field Engineering thought leadership through customer-facing co

Req ID: FEQ327R410 The Role As a Solutions Architect in the Benelux Strategic Accounts team, you will play a lead role in driving the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy with customer accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (Delivery, Specialist & Partner Solution Architects) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales and/or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapi

Req ID: FEQ327R409 The team The Fungible team is the “rapid-response squad” within the Field Engineering organisation that engages with customers on the most strategic, highest-potential opportunities across Benelux and the Nordics to accelerate critical use cases, land technical wins, and drive successful Databricks adoption. If you enjoy working on novel use cases across a variety of industries on highly visible engagements, this is the right home for you! The role As a Fungible Solutions Architect, you lead the technical strategy on time-boxed, targeted engagements - typically one to five months - aimed at accelerating a specific set of critical customer workloads from evaluation to a production-grade technical win. You own the architecture conversation, drive platform adoption, and act as a trusted advisor to customer architects and engineering leaders, then transition the momentum you've built to the core account team. You bring technical depth and the judgment to apply it fast, in situations that require strong ownership and are highly visible . Where a specialisation helps you contribute quickly, great — but on this team, breadth, adaptability, and a bias for impact matter just as much as your area of depth. The impact you will have Accelerate what matters most: parachute into strategic, high-profile opportunities and own a clearly defined technical area, moving critical workloads and use cases from evaluation toward production and consumption. Lead the architecture: design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and lead the whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders. Win the technical decision : demonstrate Databricks' differentiation through custom-built solutions in competitive, must-win scenarios. Move fast while maintaining the bar: establish momentum quickly in ambiguous situations and compress timelines without cutting corners. Hand off, don't hold on :

Req ID: FEQ427R70 The Role As a Senior Solutions Engineer in the Benelux Geo team, you will lead technical engagements for high-growth potential customers, owning discovery, solution design, and platform demonstrations. We are looking for a talented engineer/architect who is excited to expand strategic partnerships and grow Databricks footprint with these customers! You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning Data Engineering, Analytics, Machine Learning, and GenAI Engineering Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For Industry experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role (preference for 3+ years minimum) Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversatio

(FEQ427R351) Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure As a Senior Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This is a customer-facing role that works with and supports the Field Engineering pre-sales teams and requires hands-on production experience with cloud infrastructure and big data technologies. Specialist Solutions Engineers help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Technical thought leader : Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices, including automation Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, workload sizing, and custom architectures Cloud Infra & Security Expertise Architect production-level cloud native governed workloads Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community. What we look for: Pre-sales or post-sales experience working with external customers (or internal clients/stakeholders) across industries 4+ years of experience designing Cloud infrastructure/Security and services, s

(FEQ327R229) The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security ma

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The UK&I Solutions Engineering team guides Okta customers through their entire journey, from initial engagement to upsell and cross-sell, using their expertise in presentations, events, and meetings to ensure customers drive maximum value from our platform. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on Identity Security. Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. What you’ll be doing: Involved in all stages of the customer’s sales lifecycle in the role of trusted technical advisor. Building sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to secure identity. Empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. Using your technical savviness and business

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 Implementation 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, wiring Altana 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. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer