Software Engineering Intern (2027 Start) - Amsterdam

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our option pricing team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a research project from design to deployment guided by experienced Quantitative Researchers. Understand how technology and research enable our trading, market data, and infrastructure systems Collaborate with fellow researchers and software engineers to bring your project to success Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year and enrolled in, or planning to pursue, at least a Master’s degree in a quantitative field at a top European university. Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting on the 5th of July Working knowledge of Python A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time quantitative researchers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading, in an environment that embraces AI to both ac

About BlockTech BlockTech is a fast-paced algorithmic market maker facilitating global derivatives and spot trading, originating from crypto markets and expanding into new markets. We trade our own capital on systems that run 24/7 and have to be fast and correct without exception. Our systems run on Linux and are written in Rust and Python. For the Summer of 2027, we're looking for Software Engineer Interns to join our engineering team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a project from design to deployment guided by experienced software engineers. Work with production-level data and systems Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year studying computer science or a related discipline at a top university in Europe Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting with 5th of July Proficiency in a systems language (ideally Rust and/orC++) and working knowledge of Python A solid grasp of data structures, algorithms, and what actually makes code fast A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time software engineers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an envi

(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

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. Engineering Manager: Regulatory Reporting Data The Regulatory Reporting group is a foundational pillar of Adyen's licensed financial operations. It enables Adyen to meet its obligations to regulators, central banks, and supervisory authorities across the globe through accurate, auditable, and timely reporting. The group delivers the data pipelines, models, controls, and reporting products that demonstrate compliance with regimes such as tax, prudential and statistical reporting. It is a key driver of Adyen's license to operate and of the trust placed in us by regulators, merchants, and partners alike. As an Engineering Manager in the Regulatory Reporting group, you will lead a cross-functional team of talented and motivated individuals to deliver reporting products that are accurate, reliable, timely, scalable, and auditable. You will work closely with Compliance, Legal, Finance, and product development teams to translate evolving regulatory requirements into robust engineering solutions, and to set a new standard for how regulatory reporting is built and operated across the company. What you’ll do Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction and manual effort in the reporting cycle. Strategic Stakeholder Managemen

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 BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p