Infrastructure Network And Supply Engineer in Amsterdam

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. All security disciplines work under the umbrella of the combined PSI (Platform, Security & Infrastructure) team: we build the paved path and tooling that hundreds of engineers around the world rely on every day to ship. This is not a compliance or certification role. You won't be measured on audit portfolios. You'll be measured on the guardrails you build and whether engineering teams reach for them by default. A misconfigured IAM boundary here doesn't just degrade a dashboard: it can stall a customs filing or strand a container. Flexport also runs a genuinely heterogeneous estate: hundreds of services, carrier and customs integrations, and infrastructure spanning three continents, which makes multi-account architecture and cross-border data handling real problems rather than exam questions. What You'll Do Architecture & guardrails Design and review cloud security architecture for AWS and Kubernetes: account structure, network segmentation, workload identity, and secure-by-default patterns for new services. Fix the Terraform module, not the finding — drive remediation-at-source so misconfigurations get closed at the pattern level, not one ticket at a time.

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. Hundreds of engineers and thousands of freight operators around the world rely on Flexport's internal systems every single day to keep billions of dollars of freight moving. Keeping those systems — and the people who use them — secure is not a compliance checkbox. It's the core infrastructure for a company operating across 112 countries. The PSI (Platform, Security & Infrastructure) team is looking for a Senior Security Engineer to own the security of Flexport's corporate environment: endpoints, identity systems, internal networks, and the SaaS estate. This is a security engineering role, not an IT support role, and not a role where you write policies and hope for the best. You'll build, automate, and be on the ground when things get real. What You'll Do Endpoint & SaaS security Own and mature our endpoint security stack (EDR) across macOS and Windows fleets , writing device policy as code — configuration profiles, remediation scripts, and enforcement rules — with staged rollout and rollback built in. Own security configuration and monitoring for Flexport's critical SaaS applications (Google Workspace, Slack, and similar) through SSPM tooling, catching risk

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments. This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant. The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself. Requirements 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks). Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS. Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation. Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA. Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities. Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers. Experience developing or maintaining network automation using Python, Ansible, or similar tools. Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, de

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch. Responsibilities Build the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-perform

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. Senior Product Manager, Banking Networks Adyen is a truly global company that processes billions in payments annually. Adyen's value goes beyond Ecommerce and In-Person payments with a broad offering of embedded payments and financial services like issuing, bank accounts, and capital; facilitated by Adyen's global banking licenses. Behind every one of these products sits a critical dependency: reliable, direct connectivity to the world's banking infrastructure. We are looking for a Senior Product Manager to lead and scale our global Banking Networks capabilities. You will lead the Banking Networks team responsible for integrating with banking partners worldwide, including banks, clearing houses, payment rails and providers (excluding North America, which is owned by a dedicated regional team). This role sits at the core of Adyen's financial products, owning the end-to-end processing of banking transactions across a wide variety of market infrastructures and use cases. You will build and maintain best-in-class banking connectivity that our financial products depend on, from local scheme integrations to real-time payment rails. You will work closely with Banking Products, Payouts, Payments, Merchant Finance, Accounting, Compliance, Legal, Risk, Commercial, and Operational teams, as well as customers, to understand their needs and tran

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, Adyen Protect We are seeking a visionary and highly technical Head of Engineering to lead the development and scaling of Adyen Protect . Adyen Protect is our ML-first product suite designed to detect and mitigate payment fraud in real-time across billions of transactions. In this role, you will lead a specialized domain of four high-impact engineering teams dedicated to staying ahead of increasingly sophisticated global fraud networks. You will be the strategic driver behind our risk engine, ensuring that our ML models are not only accurate and performant but also transparent and actionable for the world's largest merchants. This is a role for a leader who thrives at the intersection of big data, predictive modeling, and high-availability systems. You will be responsible for ensuring that as Adyen grows, our ability to protect our merchants and their consumers remains world-class. What you’ll do: Vision & Strategy: Define and execute the technical roadmap for Adyen Protect, aligning Machine Learning capabilities with the evolving needs of global e-commerce and regulatory landscapes. Scale ML Operations: Lead four multidisciplinary teams in building and maintaining scalable infrastructure for model training, real-time scoring, and automated experimentation (A/B testing) at the millisecond level. Engineering E

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. Business Analyst - Payments Pricing As a Business Analyst - Pricing in the Global Payments Pricing team, you'll be central to Adyen's financial performance in global card payments. This role goes beyond traditional pricing - you'll be our team's expert on interchange and scheme fee charges for Card Networks such as Mastercard and Visa in the EMEA region, and ensure the financial stability of Adyen’s transactional cost prediction engine. Your responsibilities include optimizing our fee structure, contributing to reconciliation of costs, improving our processes and tooling, and generating insights that provide a holistic understanding of complex fee dynamics. You will reinforce Adyen’s commitment to fee transparency and reduce our customer’s total cost of payment. As the go-to expert within the Global Payments Pricing team, you’ll work closely together with global teams, including Product, Engineering, Finance, and Partnerships. What You'll Do Ensure merchants are charged the most accurate and optimal cost price for payment transactions, leveraging data and insights to refine fee passthrough predictions. Analyze and identify the necessary data to address questions, extract the required data, and perform analysis. Implement fee change rollouts to maintain our cost infrastructure and manage the merchant experience. Optimize, build

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

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Hybrid at our office in Amsterdam or Remote in the UK. Responsibilites Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinkin

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Hybrid working 2 days a week at our offices in Amsterdam Responsibilities Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam, Identify, design, and develop foundational backend services that power Together’s commerce platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements Ideally 1-2 years of leading the Infrastructure team. Demonstrable backgro

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. The opportunity Global trade runs on data. Every shipment, every customs clearance, every delivery depends on the right information flowing through the right systems at the right time. At Flexport, data infrastructure is the foundation that enables billions of dollars in global commerce. We're looking for a Senior Software Engineer, Backend who will take end-to-end ownership of the data systems that power Flexport's global trade platform. In this role, you'll own critical data pipelines and architecture that process millions of supply chain events daily, ensuring that our customers have real-time visibility into their shipments across the world. As a Senior Software Engineer focused on Data Infrastructure and Backend development, you'll have deep technical ownership over the systems that ingest, process, store, and deliver data across Flexport. You'll architect solutions that handle the complexity of global trade, from tracking containers across oceans to coordinating multi-modal logistics, all while ensuring our data infrastructure scales reliably as we grow. You will Build strong relationships with producers and consumers of data across the organization. Partner

About BlockTech BlockTech is a fast-paced algorithmic trading firm. Specializing in crypto options, we facilitate global cryptocurrency derivatives and spot trading, while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of the data infrastructure our trading and technology teams are built on. Every decision at BlockTech starts with data: exchange feeds, our own trade and account events, and the history we query to make sense of both. The Foundation team owns the systems that move, aggregate, and store all of it. We run our own Kafka, NATS, PostgreSQL, ClickHouse, and Iceberg, self-hosted and tuned by us. We work primarily in Rust, with Python and SQL alongside. This is a role for an engineer who has already built and operated data infrastructure at scale, and who wants their technical decisions to set direction rather than follow it. What will you do? You will own the pipelines and stores every other team depends on. When a researcher backtests a strategy, when a trader checks a position, when risk queries yesterday, they are all reading data your systems ingested, routed, and kept correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the ingest path. Collect public and private exchange information and internal trading data with minimal latency impact, and land it in our trading systems in real time. Architect the streaming layer. Design and operate our Kafka and NATS messaging systems for the throughput and delivery guarantees our critical flows depend on. Build the storage layer. Develop real-time aggregation and long-term storage across PostgreSQL, ClickHouse, and Iceberg, and make the structural calls that keep queries fast as volumes grow. Run what you build. Own capacity, retention, schema evolution, and failure behavior for infrastructure we host ourselves, with no managed service to hide behind. Make the

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. Documentation Tooling Team The Documentation Tooling Team is responsible for building the systems and foundations that improve how technical knowledge is created, structured, and delivered across Adyen’s developer ecosystem. You will work on core challenges related to content quality, freshness, consistency, scalability and the ability to make information usable both for people and agents. In this role, you will build the next generation of Adyen’s knowledge platform. This platform turns static documentation into structured, queryable knowledge.This includes structuring content, connecting content from multiple sources and building interfaces that make technical documentation accessible across products and tools as knowledge. Your work will power reliable, contextual and efficient access to information for customers, developers, AI agents and internal teams. The team is a strategic part of the Developer Experience group within the Customer Experience solution. Our mission is to provide clear, accurate, and accessible knowledge that supports customers throughout their integration journey and helps them move quickly with confidence. Core Focus Area Content Architecture: Design scalable graph schemas, ontologies, and metadata models that support consistency, reuse, and discoverability across documentation. Serverless Pipeline Orchestra

About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into running inference clusters without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference. You'll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster's desired state. Success looks like eliminating manual provisioning work, not documenting it better. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. Build the self-service API: design declarative

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