Top Software Engineer Jobs in Barcelona

The Senior Software Engineer will contribute to product development, technical decisions, and help scale the company through clean and efficient coding in a collaborative environment.

The Senior Software Engineer role involves collaborating within a squad to enhance customer experiences through backend development, focusing on distributed systems and resilient software using various technologies.

Rover seeks a Lead/Senior Software Engineer with 7+ years of experience, specializing in frontend technologies like ReactJs and Python. Responsibilities include building customer-facing products, mentoring team members, and promoting engineering best practices. The role includes collaboration on projects and a commitment to inclusivity and diversity in the workplace.

Design and implement scalable backend services and APIs with tight AI/LLM integration. Collaborate with product and data science teams to operationalize models, deploy microservices (Docker/Kubernetes), maintain CI/CD and reliability, mentor junior engineers, drive technical best practices, ensure security and compliance, and lead feature development and documentation.

Design, implement, and maintain scalable backend services and APIs with LLM/AI integration. Collaborate cross-functionally to operationalize AI models, lead projects, mentor engineers, ensure reliability, security, and CI/CD-driven deployments, and drive technical best practices.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

The Senior Software Engineer will build integrations with external APIs, optimize code performance, and maintain testing protocols. A focus on backend development is essential.

The Staff Software Engineer will design and manage end-to-end data pipelines, ensuring data quality and governance while collaborating across Java and Python systems, including event schema design and AI tooling.

As a Senior or Staff Software Engineer focused on SRE, you will optimize performance, manage infrastructure with code, drive observability, and collaborate with teams to enhance system reliability and efficiency.

Build production-grade AI agent infrastructure for Fever’s Product Engineering organization, including agent harnesses, sub-agents, guardrails, evaluations, knowledge bases, cloud development environments, CI/CD delivery systems, observability, and measurement platforms. Optimize AI workflows for quality, speed, and cost while improving planning, coordination, and communication across engineering squads. Own backend systems end to end and establish engineering standards for reliable production software.

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.

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.

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.

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.

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.

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.

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.

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 scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

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

Build and evolve the Elastic MCP server, agent skills platform, and developer-facing integrations (language clients, CLI, third-party integrations). Implement tooling, linting, and eval-backed correctness, collaborate with product and external partners, and contribute across Go/Rust codebases to improve developer experience and observability.

Design, implement, and optimize Elasticsearch core storage and query engine components for observability workloads. Lead architecture, resolve performance bottlenecks, mentor engineers, drive cross-organizational initiatives, triage community issues, and write idiomatic modern Java to improve indexing, storage efficiency, and query performance.

The Senior Software Engineer will develop core business products, ensuring performance and scalability, and automate development processes while collaborating with stakeholders.

Design, implement, and own end-to-end backend features in a Python-based, event-driven platform. Improve architecture for performance, reliability, and scalability, participate in design reviews, mentor peers, ensure CI/CD and testing best practices, and collaborate with Product and Data teams to deliver production-ready services.

Build and maintain Finance & Compliance services to calculate revenue, invoice partners and customers, automate tax reporting, and ensure scalable, reliable transaction processing. Design end-to-end features, participate in architecture, improve observability and performance, and mentor teammates while owning core components.