Top Software Engineer Jobs in Barcelona

Join the Engine team to build and maintain scalable backend applications in Ruby and GOlang, ensuring performance and reliability.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Lead frontend engineer responsible for designing, building, and supporting Agilent.com experience-layer capabilities using AEM, DA.live, EDS, and Adobe Forms. Deliver reusable DA.live Blocks, integrate with content/catalog/personalization services, ensure performance, accessibility, SEO, and global scale. Act as technical product owner within a POD, mentor engineers, participate in agile delivery, CI/CD, testing, and production support.

Lead technical work enabling global-ready products: act as technical stakeholder, define roadmaps, remove major technical blockers, write and review high-quality tested code, mentor engineers, simplify abstractions, and collaborate across distributed teams to deliver scalable web/SaaS solutions.

Execute and improve manual and automated Android test cases, find and track defects, collaborate with Agile teams, enhance test coverage and QA processes, and mentor peers to ensure mobile app quality.

Design, build, and operate backend services for the orchestration engine and automated decisioning pipeline. Deliver orchestration features, improve resilience (idempotency, backpressure, retries), maintain observability, participate in on-call rotations and incident response, and drive engineering quality via code reviews, CI, documentation, and mentoring.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Join Grafana Labs as a Staff SRE focused on database products (Mimir, Loki, Tempo, Pyroscope) to own production reliability for high‑SLA customers. Partner with product squads, design and implement automation and SLOs, lead incident response and post-incident reviews, improve observability and alerting, and drive scalable, fault-tolerant solutions and reliability engineering best practices.

Design, build, and operate PKI and certificate-issuance services using C#/.NET and ASP.NET Core. Implement versioned REST APIs, automate certificate and key lifecycles, optimize performance and concurrency, and run cloud-native deployments on AWS/AliCloud with EKS/Kubernetes. Own CI/CD (GitLab/GitHub Actions), observability, secure-by-default practices, documentation, and runbooks while contributing to code quality and peer reviews.

Leads architectural and code-level performance engineering for Elasticsearch, from design through production. Develops performance models, profiles distributed systems, identifies bottlenecks, optimizes logging, metrics, vector search, and ES|QL, and builds benchmarking and regression-detection automation. Drives AI-assisted optimization harnesses, collaborates across engineering teams, establishes performance-focused practices, and mentors engineers. The role requires deep Java, JVM, concurrency, distributed systems, benchmarking, and large-scale data-store expertise.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.

Senior software engineer responsible for designing, developing, and maintaining business-critical applications. Collaborate with product, QA, DevOps, and stakeholders to translate requirements, implement scalable Java/Python solutions on AWS, address technical debt, improve performance, participate in code reviews, support releases, and ensure application stability and continuous improvement.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Define and evolve system architecture, translate business needs into scalable solutions, drive architectural decisions, contribute hands-on to implementations, modernize monoliths, and promote engineering best practices across teams.

Design, implement, and maintain Firefox security and cryptography systems (WebPKI, cryptographic protocols, security-sensitive web APIs). Ship standards-based web platform features, diagnose and fix stability/performance/memory issues in a multi-threaded browser, and collaborate across teams on security design, debugging, and long-term solutions.

Lead platform architecture and design for a large-scale microservices system. Hands-on Go development, design secure fault-tolerant services, plan migrations, write ADRs/runbooks, review and govern architectures, drive cross-team technical decisions, mentor engineers, and ensure zero-downtime rollouts and scalable, secure operation at high request volumes.

Design, build, and maintain highly available, performant distributed backend systems (primarily Ruby and Go). Work on recipe runtime, event processing, storage, concurrency, and integrations with Postgres/S3/Redis/Kafka/ClickHouse. Lead architecture, code reviews, troubleshooting, and cross-team technical initiatives.

Drive design and implementation of Internal and External API layers, integration platform, and access management. Own product areas, mentor engineers, promote reliability, performance, and scalability, troubleshoot across system layers, and collaborate with product and design to deliver backend and some frontend features that meet customer needs.

Senior hands-on backend engineer owning design through release. Architect APIs, services, and databases, write high-quality Python, work with large datasets, review AI coding agent output, monitor production, mentor juniors, and contribute to architecture and tooling.

Design and build responsive, high-performance frontend applications with React/Angular while contributing to backend services in Java/Spring Boot. Lead frontend architecture, optimize performance and accessibility, mentor engineers, collaborate across teams, and support CI/CD and cloud deployments for scalable, user-centric products.

Build and ship browser-based 3D interactive features using React, Three.js, and WebGL; integrate frontend with a C++ computational backend on AWS; use AI tools (Claude Code) to accelerate development; prototype AI-powered product features; and collaborate with clinical scientists, UX, ML engineers, and QA.

Build foundational agent infrastructure for an AI assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable, and secure backend systems, launch agentic features, own core infrastructure, participate in on-call, and mentor others.

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

Lead optimization of concurrent systems, scale backend microservices, and collaborate with developers and engineers on deployment for retail solutions.