
B2B • Media • Marketing
Shake is a branding agency that has been helping clients build strong brands since 1998. With a focus on authenticity, Shake emphasizes the importance of connecting with customers and staying true to one's identity. The agency thrives in an ever-evolving landscape, assisting various brands in redefining their identities and engaging with everyday human experiences.
11 - 50 employees
Founded 1998
🤝 B2B
📱 Media
đź’° $3M Series A on 2013-11
April 26

B2B • Media • Marketing
Shake is a branding agency that has been helping clients build strong brands since 1998. With a focus on authenticity, Shake emphasizes the importance of connecting with customers and staying true to one's identity. The agency thrives in an ever-evolving landscape, assisting various brands in redefining their identities and engaging with everyday human experiences.
11 - 50 employees
Founded 1998
🤝 B2B
📱 Media
đź’° $3M Series A on 2013-11
• Design and implement robust and scalable engineering solutions • Contribute to the development of internal tools and libraries that streamline content retrieval operations • Participate in code reviews while fostering knowledge sharing within the team • Develop and maintain CI/CD pipelines that automate testing and deployment of various applications
• Solid experience as a Python Engineer (5+ years) • Solid experience building REST APIs using FastAPI framework • Experience working with Elasticsearch • Experience with containerization and orchestration with Docker and Kubernetes • Experience in version control using Git • Experience with CI/CD pipelines, automating builds, testing, and deployments • Familiarity with caching mechanisms and in-memory data store technologies like Redis • Familiarity with monitoring and observability tools like Grafana • Familiarity with Amazon Web Services (AWS) • Fluent English and excellent communication skills • Nice to have: Experience in web scraping, parsing HTML/XML, and extracting structured data • Nice to have: Experience creating products for developers, data engineers, and/or data consumers • Nice to have: Experience with AI
• Work from anywhere • 26 days paid time off • Co-work expenses covered (up to $300/m) • $500/year learning budget • $250 Desktop budget • $30 Wellness budget • $30 Fun Budget
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