Top Tech Jobs & Startup Jobs in Valencia

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.

Analyze cellular network performance and application-layer QoE, identify bottlenecks, build scalable data-processing pipelines, and develop analytics solutions using Python, R, and SQL. Partner with network operators to collect, validate, and analyze large-scale real-world network data, supporting optimization of mobile network services.

Reviews, debugs, evaluates, and optimizes GPU and accelerator kernels for AI workloads. Responsibilities include CUDA and Triton optimization, framework translation, hardware migration, operator fusion, profiling, benchmarking, numerical correctness validation, compilation and runtime debugging, and memory hierarchy optimization. The role assesses implementation quality, performance bottlenecks, hardware limitations, and technical task configuration while providing actionable feedback.

As a Senior Backend Engineer, you'll enhance development efficiency, support a microservices transition, ensure robust testing, and improve CI/CD processes while driving architectural decisions.

Drive sales of Netskope cloud security solutions by presenting to technical and executive audiences, delivering demonstrations, leading proofs of concept, gathering requirements, managing evaluations, responding to RFIs/RFPs, and differentiating against competitors. The role also advocates for customers, supports issue resolution, provides product feedback, attends events, and requires heavy regional travel.

Implement, configure, test, and deploy Workday HCM solutions for multiple clients. Lead requirements gathering, consulting, project delivery, process improvements, troubleshooting, and post-production support. Manage project scope, quality, timelines, and competing priorities while mentoring consultants and maintaining client satisfaction. Contribute to knowledge sharing and advise clients on Workday best practices across Recruiting, Talent, Performance, and related modules.

Build and maintain full-stack internal tools, automated workflows, and customer-facing features using TypeScript, Node.js, and React. Integrate LLMs, AI services, third-party APIs, and external platforms. Use AI coding assistants to prototype, develop, test, and improve reliable software. Collaborate with internal users, product managers, designers, engineers, and the Chief AI Officer in an Agile environment while contributing to architecture, code reviews, UX, security, performance, and continuous improvement.

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.

Leads technical discovery, solution design, and complex SaaS implementations for enterprise clients. Owns onboarding projects, API and product data feed integrations, troubleshooting, platform training, and client enablement. Partners cross-functionally with Sales, Product, Engineering, and Client Success; mentors junior team members; develops documentation and training content; advocates for clients; and uses AI to improve implementation planning, research, communication, and workflow efficiency.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.