Top Tech Jobs & Startup Jobs in Barcelona

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Develop new business and revenue from banking and financial-services accounts in Spain. Manage strategic account plans, complex sales opportunities, partnerships, forecasting, pipeline, and deal closure. Collaborate with business development, sales engineering, account management, and executive leadership to drive technology adoption, customer success, and revenue growth. Represent the company at relevant events and communicate business value to senior and C-level stakeholders.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Leads a team of 5–6 data engineering consultants while overseeing customer project delivery. Responsibilities include mentoring and developing team members, managing delivery, advising EMEA customers, and remaining hands-on with scalable data pipelines, ETL/ELT, distributed systems, ML/MLOps, cloud migrations, batch and streaming workloads, and modern data platforms.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Prospect and acquire restaurant and hotel clients across Spain and Portugal through phone, email, WhatsApp, events, and field outreach. Demonstrate CentralApp’s SaaS platform, manage territory performance, collaborate through onboarding, support local partners, gather market insights, and represent the company in the regional market.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

Design intuitive B2B product experiences from discovery through delivery, including user flows, prototypes, usability testing, and design system contributions. Collaborate with product managers and engineers while also creating marketing, sales, branding, landing page, advertising, and campaign assets. The role is remote, part-time, and contract-based, with a $1,500 monthly retainer plus project-based compensation.

Own the architecture, operation, scaling, reliability, and cost efficiency of Sezzle’s AWS and Kubernetes infrastructure. Diagnose performance and capacity constraints across compute, networking, clusters, and Aurora databases; build infrastructure-as-code, observability, disaster recovery, and automation; participate in on-call and incident recovery; execute safe migrations; and develop AI-assisted operational tooling. The role requires deep technical leadership, hands-on coding, production troubleshooting, and collaboration across engineering, security, and compliance.