About WorkatoWorkato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale.

Business

Insider named us an "enterprise startup to bet your career on"Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the worldDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North AmericaQuartz ranked us the #1 best company for remote workersResponsibilitiesWe are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex,



data-intensive environments.Example ProjectsBuilding an evaluation and observability framework for AI model performance and reliability.Designing AI services that process and reason over high-volume real-world data at scale.RequirementsQualifications / Experience / Technical SkillsBachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.5+ years of experience as a Software Engineer, with strong proficiency in Python.Proven track record of building and maintaining production-grade systems using Python.Strong understanding of distributed systems, API design, and data-driven architectures.Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).Python - FastAPI - LLM APIs (OpenAI, Anthropic, Qwen, OSS) - LiteLLM - Qdrant - PostgreSQL - ElasticSearch - Langfuse - Kubernetes - GitHub Actions - ArgoCDPreferred SkillsExperience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.Experience developing enterprise-scale SaaS or distributed backend systems.Contributions to open-source projects in Python, AI, or infrastructure engineering.xhfqzwm Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.(

📌 Senior Software Engineer - C# - (Hybrid Remote) (Cataluña)
🏢 Workato
📍 Cataluña