Job details:
- Fully remote
- Start date: Sep 21, 2026
- Duration: 1 year
- Extensions possible
- Full-time
We are looking for a Senior Full Stack Search & Analytics Engineer to design, build, and maintain data-driven products that support the client’s global SEO, SEM, and digital performance initiatives.
The ideal candidate combines strong software engineering capabilities with deep analytical thinking and understands how data, search technologies, automation, and cloud platforms can be leveraged to improve customer acquisition and digital visibility.
You will develop scalable applications, build cloud-native data pipelines, create analytical products, and enable stakeholders to make better strategic decisions through technology and insights
Scope:
Full Stack Development
- Build cloud-native web applications and APIs.
- Develop modern front ends (React/Angular) and scalable back ends.
- Ensure security, reliability, and maintainability.
- Implement CI/CD and DevOps practices.
Data Engineering & Analytics
- Build GCP-based data pipelines and products.
- Integrate data from analytics, marketing, and internal systems.
- Deliver scalable reporting and performance insights.
SEO & Search Performance Engineering
- Automate SEO processes and performance monitoring.
- Build tools to identify optimization opportunities.
- Support enterprise SEO and drive search improvements.
GCP Cloud Engineering
- Design solutions using GCP services (BigQuery, Dataflow, Cloud Run, Vertex AI, etc.).
- Optimize cloud cost, performance, and reliability.
- Implement Infrastructure as Code and governance standards.
Automation & AI
- Develop automation, AI/ML, and predictive analytics solutions.
- Generate actionable insights for digital marketing optimization.
- Integrate GenAI into analytics and decision-making workflows.
Product Collaboration & Leadership
- Translate business requirements into technical solutions.
- Contribute to product strategy and architecture decisions.
- Mentor engineers and promote engineering best practices.
Requirements:
- 5+ years of software engineering experience.
- Experience developing full-stack applications in enterprise environments.
- Proven experience working with cloud-native architectures.
- Experience with digital analytics and search-related platforms.
- Experience building data-intensive applications.
- Experience with enterprise SEO.
- Knowledge of SEM and digital marketing ecosystems.
- Experience with machine learning solutions.
- Experience with large-scale eCommerce platforms.
- Familiarity with customer journey analytics.
- Experience working in global agile product organizations.
- Looking for someone very good at communication with the other team members and all the stakeholders.
- Fluent English.
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