Top Software Engineer Jobs in Amsterdam

Build and scale reliable systems for a high-performance trading platform. Responsibilities include automation for deployment, monitoring, operations, and incident response; ownership of observability across metrics, logs, tracing, and alerts; tool evaluation; on-call participation; incident leadership; postmortems; and root cause analysis.

Typetone is accepting applications for a Full Stack Software Engineer and will follow up with interested candidates. No specific responsibilities or qualifications are provided.

Build and ship platform functionality across the stack, own features from problem definition through deployment, modernize existing systems, and contribute to architecture and engineering practices. Collaborate with product, data science, and education specialists while improving testing, maintainability, shared code ownership, and AI-assisted development. The role offers substantial autonomy and measurable societal impact in a small EdTech team.

Design, implement, test, and launch scalable financial product features. Contribute hands-on to APIs and tooling, improve platform robustness for high-scale distributed systems, collaborate across cross-functional teams, and iterate quickly to deliver production functionality impacting merchants and shoppers.

Lead the architecture and technical direction of AI compiler toolchains for heterogeneous platforms including NPUs, GPUs, vector accelerators, CPUs, and embedded systems. Translate product and customer needs into compiler requirements, interfaces, roadmaps, and implementation plans. Guide optimization, code generation, runtime integration, performance analysis, architecture reviews, and technical risk management. Collaborate with global engineering teams, customers, and partners while mentoring compiler engineers and improving engineering standards.

Develop, deploy, and maintain scalable distributed services and highly available APIs using Go, Java, and Python. Collaborate with engineers and product managers, write maintainable production code, participate in reviews, and operate services using observability, testing, alerting, and incident-response practices. The role includes on-call support, Kubernetes deployments, cloud infrastructure, database integrations, and occasional team travel. Familiarity with geospatial data, remote sensing, and Grafana is advantageous.

Design, build, test and maintain high-throughput, distributed payment services in Java. Work on integrations with global payment methods, APIs and portal features, optimize performance, ensure reliability, collaborate across teams and deliver production-ready code.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Design clean mobile flows for financial products, integrate backend APIs, improve performance and stability, use analytics to drive improvements, and implement on-device AI where it benefits the user experience.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Develop and evolve high-performance, distributed trading systems focused on low latency, reliability, scalability, and stability. Translate requirements from traders, quants, and stakeholders into technical solutions, maintain shared libraries, evaluate technologies, and integrate third-party platforms. Own software quality through reviews, testing, deployment, and production adoption. Mentor junior engineers, participate in on-call rotations, and use LLM-augmented development and rapid prototyping.

As a Forward Deployed Software Engineer, you'll tackle significant customer problems through data-driven solutions, own project execution, and collaborate with diverse teams to implement innovative strategies.

Design, develop, and maintain Optiver’s global talent assessment tooling platform. Ensure scalability, reliability, usability, and code quality across the full software development lifecycle. Collaborate with global recruitment teams, build server-side and frontend features, participate in code reviews, and support recruitment assessments, training, education, and test authorization.

Staff Software Engineer responsible for designing and building Stream’s high-scale platform and infrastructure. The role includes setting SLOs, leading distributed-systems decisions, developing deployment and debugging tools, improving incident response, optimizing infrastructure costs, and guiding technical direction through design reviews and RFCs. The engineer will work with Go, Python, cloud platforms, Kubernetes, databases, observability systems, and real-time workloads in a small, autonomous team.

Build next-generation distributed data storage and processing systems for Databricks Runtime. The role focuses on scalable, high-performance systems supporting workloads from ETL to data science, using strong algorithms, data structures, distributed systems, databases, and big data technologies. The engineer will work toward a multi-year technical vision while delivering incremental customer value.

Build and operate large-scale distributed data systems and SaaS products. Responsibilities may include developing front-end, back-end, and reliability features; architecting scalable services; improving user experiences; deploying and operating cloud infrastructure; and contributing to products such as SQL Analytics, Jobs and Workflows, and the developer ecosystem.

Develop and improve a Salesforce- and Python-based master data platform supporting product data integration, modeling, validation, enrichment, monitoring, and downstream operations. Responsibilities include designing and testing platform features, improving integrations and workflows, collaborating with operational users, reviewing code, resolving incidents, and participating in occasional on-call support. The role offers growth toward deeper Python development and data platform architecture.

Own production full-stack features for Webfuse, spanning technical design, implementation, testing, deployment, release, debugging, and maintenance. Build TypeScript and Vue.js interfaces, backend services and APIs with Python, Django, Node.js, and Go, plus real-time collaboration, browser automation, security controls, integrations, and AI-agent capabilities. Investigate complex browser, frontend, and backend issues while contributing to technical decisions in a small international engineering team.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Build and improve Modash’s large-scale creator search system across retrieval, indexing, ranking, embeddings, relevance, and low-latency serving. Own initiatives end to end, from requirements and architecture through implementation, production deployment, measurement, and iteration. Develop multimodal search capabilities using image, video, text, audio, LLMs, and vector search. Collaborate with data, product, customers, and leadership while balancing quality, cost, latency, and reliability.

Lead the architecture and evolution of payment acceptance infrastructure. Design and operate scalable backend microservices, REST APIs, event-driven systems, and integrations for high-volume distributed payments. Drive initiatives across gateways, acquiring, issuing, card networks, and local payment methods. Partner cross-functionally, improve reliability and observability, address technical debt, establish strong engineering practices, and mentor engineers.

Build internal product tools for robot fleet scheduling, site logistics, and manufacturing. Own features end-to-end: prototype, implement, deploy, and iterate. Write typed production TypeScript and React, debug issues, deploy and maintain backend services, and collaborate with hardware, controls, and operations teams to move prototypes into production.

Leads architecture and technical direction for eBay Ads’ large-scale platform. Designs low-latency distributed systems and scalable services for ad serving, targeting, ranking, and reporting; drives modernization, reliability, scalability, and operational efficiency. Partners with product, data science, ML, and analytics teams, while mentoring engineers and influencing technical practices across the organization.