Senior Full Stack Developer – Enterprise Solutions

Semrush

full-time

Posted on: 10/11/2025

Location Type: Remote

Location: Remote • 🇷🇸 Serbia

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Senior

BigQueryCloudGoGoogle Cloud PlatformKubernetesMicroservicesPythonReactSQLTypeScript

About the role

Help deliver custom business intelligence dashboards for enterprise clients
Work across tech stack including Python, BigQuery, React/TypeScript, and Kubernetes
Design and implement backend systems and APIs using Python and Golang
Build data transformation pipelines and analytical workflows in BigQuery/SQL
Collaborate closely with product, data, and customer-facing teams to deliver tools tailored to evolving enterprise needs
Develop and optimize web crawlers and data ingestion pipelines
Ensure reliability, observability, and automated rollouts/rollbacks for containerized applications

5+ years of experience in full stack or backend engineering roles
Strong experience in Python for application development and data workflows
Proficiency with SQL and practical experience using Google BigQuery (or similar cloud data warehouses)
Proficiency or strong experience with React and TypeScript on the frontend
Experience building or maintaining web crawlers, scrapers, or ingestion tools
A proven ability to take initiative, thrive in ambiguous contexts, and deliver creative, high-value solutions without waiting for detailed specs
Excellent collaboration, prioritization, and communication skills.
Not Required, but a plus: Production experience with Golang or a demonstrable ability and willingness to work in it
Familiarity with SEO-related data and tooling (e.g., SERPs, keyword rankings, backlink data, metadata, Google Search Console)
Experience integrating third-party APIs, especially for analytics or marketing data
Manage cloud-native infrastructure, especially Google Cloud Platform (GCP) and orchestrate microservices using Kubernetes (k8s) for high availability and seamless scaling
Experience working with enterprise clients or building flexible, customer-specific tooling
Understanding of data privacy, rate limiting, and other operational concerns in web data workflows.

Benefits