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. 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.
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 experience - building scalable, cost-effective pipelines - is highly valued.
~ Excited to work in a fast-paced environment and collaborate with Data Scientists to build innovative ML/AI systems.
~ Solid knowledge of SQL with maintaining relational databases is a plus.
~ A Bit About The Team Torch team is an engineering team building LLM-powered products for Content and brand intelligence. AIO (Brand presence, serenity, prompt tracking) - measuring and improving how brands show up across AI/LLM answers (ChatGPT, Gemini, Perplexity, Google AI Overv

📌 Senior Backend Engineer (España)
🏢 Semrush
📍 España