Top Software Engineer Jobs in Madrid

Design, develop, debug, and improve Elastic’s hosted control-plane cloud offerings. Lead technical architecture, development best practices, scalable and reliable foundation work, automation, quality initiatives, and cross-team technical planning. Collaborate with distributed engineering, support, and product teams to diagnose complex issues and guide feature development.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Build and maintain internal and public-facing APIs and services powering the Web App and developer experience. Develop API functionality, Admin API systems, WebSocket and REST behavior, and usage and billing integrations with Stripe. Investigate production issues and security vulnerabilities, write and review tested code, make technical decisions, and collaborate across engineering, Product, and Design teams.

Leads performance engineering and automation for Akamai’s cloud compute infrastructure. Designs distributed testing and benchmarking frameworks, establishes performance standards, optimizes CI/CD pipelines, analyzes telemetry, resolves bottlenecks, and mentors engineers. The role requires expertise in Python, Linux, Bash, Jenkins, Git, automated testing, and performance validation across hardware and software platforms.

Develop scalable performance-testing frameworks and automated benchmarking suites for distributed cloud platforms. Design regression, load, stress, and performance tests; establish hardware validation standards and performance thresholds; monitor latency, throughput, SLAs, and infrastructure bottlenecks; and integrate testing and performance gates into Jenkins CI/CD pipelines. Collaborate with developers, SREs, and datacenter teams to improve test architecture, resolve performance issues, and deliver actionable insights from telemetry and data analysis.

Lead the development of Runware's serverless platform by building core systems for AI workload management and providing technical guidance to the team.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Develop cross-platform telecommunications applications for network optimization, automation, performance monitoring, data analytics, and visualization. Work with multidisciplinary telecom and software teams using Python, SQL, cloud technologies, Elastic Stack, and modern software development practices across 2G, 3G, 4G, 5G, and Open RAN environments. Troubleshoot development and production issues and support projects for wireless operators and vendors across Spain and Europe.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead test framework architecture and continuous execution pipelines for cloud platform features. Define automation standards, shape quality engineering strategy, mentor engineers, and improve release stability. Build automated testing frameworks using Python, Pytest, Go, or Bash, with emphasis on highly available Kubernetes services, containers, cloud-native technologies, Linux systems, networking, security, and CI/CD practices.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Leads test strategy, framework architecture, and platform quality initiatives for Akamai’s cloud-native Compute platform. Partners with leaders and architects on testing roadmaps, mentors engineers, establishes automated continuous deployment testing standards, and advances scalable testing methodologies. Requires expertise in test automation, software platform engineering, CI pipelines, infrastructure, networking, Kubernetes, cloud-native services, Python, Go, Linux, and security principles.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Build and maintain metrics collection and ingestion across customer-host agents, Kubernetes nodes, and backend services. Solve performance, scalability, and correctness challenges; lead technical designs; collaborate cross-functionally on product specifications and timelines; and participate in on-call support. The role requires strong systems programming, distributed systems, observability, and cloud-native experience.

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.

Design, implement, test, and ship Firefox security and hardening features for enterprise users. Improve security architecture across operating systems, including privilege isolation, trust boundaries, cryptographic protocols, WebPKI, and security-sensitive web APIs. Investigate security issues, resolve root causes, and improve browser reliability, performance, memory usage, and correctness in a complex multithreaded codebase.

Own the frontend architecture and production delivery of a multi-brand consumer platform built with React, Next.js, and TypeScript. Responsibilities include creating a configurable multi-brand system, owning a design system and component library, converting AI-built prototypes into production features, using AI coding agents, and ensuring high UI quality, performance, accessibility, and Core Web Vitals. The role requires autonomous end-to-end ownership and daily production coding.

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.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Design and develop clean, maintainable software for automated document-processing products. Collaborate with business stakeholders to translate requirements into product improvements, conduct code reviews, guide technical direction, mentor colleagues, and improve engineering practices. The role uses Golang, MySQL, Docker, Kubernetes, cloud infrastructure, and GitHub CI/CD while emphasizing product ownership, clean architecture, software craftsmanship, and technical communication.