Semrush is a brand visibility platform, empowering marketers to command their online presence and create measurable impact. We unify SEO authority and AI visibility, so brands are found, cited, and chosen everywhere search happens. That's how Semrush gained the trust of over 28 million users—from scaling startups to Fortune 500 companies. Here, you own the way you work, but we move as one unbeatable team. We don't just lead the market, we're busy creating the world where Semrush is an unfair advantage for every marketer. We move fast in ways to help you grow. Here, you have room to experiment, keep what works, and learn quickly from what doesn't. Ready to share our ambition and make an impact? Then, this role may be for you. About The Role Build high-quality, scalable, maintainable Python services and data pipelines. Collaborate with Data Scientists to build cutting-edge ML/AI systems. Design and operate cost-effective data pipelines over PostgreSQL, BigQuery, ClickHouse, and GCS - including schema migrations (Alembic) and data quality checks.



Integrate and optimize LLM workloads end-to-end: multi-provider routing, cost monitoring, fallbacks, and continuous evaluation. Orchestrate workflows with Temporal and deploy on Kubernetes/GCP (Docker, Pub/Sub, KMS, IAM). Own reliability and observability - Grafana, Prometheus, Sentry, Langfuse - and keep pipelines healthy at scale. Maintain CI/CD pipelines for automated, safe deployments (including DB migrations). Drive code quality through clean code, testing, pair programming, code reviews, and knowledge sharing. About You Move together. Raise the bar. Learn fast - grow faster. That's the default. And here's what else is needed to succeed in this role: 5+ years of strong software engineering fundamentals - clean code and solid testing practices. Strong Python development skills. Experience with Docker; Kubernetes is a plus. Comfortable with CI/CD pipelines and deployment/infrastructure management. Data engineering experienc

📌 Senior Backend Developer (España)
🏢 Semrush
📍 España