Backend Engineer

Company Overview:

Infinite Analytics AI platform, Sherlock, is transforming the way businesses gain consumer insights through its powerful knowledge graph. By leveraging the latest advancements in AI and machine learning, our no-code SaaS platform empowers enterprises to analyze consumer behavior in both the physical and digital worlds.

With a knowledge graph built from 40+ third-party datasets, Sherlock generates valuable consumer insights along with recommendations on how to grow their business. This eliminates the need for businesses to invest time, labor, and money into building complex data and analytics systems. The easy to use platform enables business users to access and action on these powerful insights without needing a data and data science team to interpret them.

As our platform continuously learns from global customers across various industries, the insights it provides become increasingly refined over time. These insights have already been applied to optimize marketing campaigns, select store locations, and improve marketing strategies across traditional and digital channels for clients in retail, CPG, banking, and auto sectors.

Overall, Sherlock democratizes consumer insights, giving businesses of all sizes the tools they need to make data-driven decisions and grow their businesses.

We are looking for an experienced Backend Engineer to join our team and help us build and scale our platform. The ideal candidate will have experience with modern backend frameworks and database technologies, as well as experience with cloud infrastructure and microservices architecture. You will work closely with the product and data teams to design and implement scalable and reliable backend systems that power our AI platform. You will also contribute to developing and maintaining our existing codebase, as well as debugging and troubleshooting issues that arise in production.

Responsibilities:

• Design and implement scalable and reliable backend systems that power our AI platform
• Develop new features and maintain existing codebase using modern backend frameworks and database technologies
• Collaborate with the product and data teams to understand requirements and design efficient and effective solutions
• Debug and troubleshoot issues that arise in production
• Optimize code performance and scalability
• Write and maintain unit and integration tests to ensure code quality
• Contribute to the continuous improvement of our development process and tools

Requirements:

• Bachelor's or Master's degree in Computer Science or related field
• 3+ years of experience in building high performance and scalable software
• Strong knowledge of databases (e.g. MySQL, Cassandra, ElasticSearch) and data modeling
• Experience with cloud infrastructure (e.g. AWS, GCP, Azure) and microservices architecture
• Strong understanding of RESTful API design and implementation
• Familiarity with version control systems (e.g. Git)
• Experience with unit and integration testing
• Strong problem-solving and debugging skills
• Excellent communication and collaboration skills
• Self-motivated and able to work independently as well as in a team environment
• Experience with machine learning or data analytics
• Familiarity with containerization (e.g. Docker, Kubernetes)
• Experience with continuous integration and deployment (CI/CD)

Opportunity:

This role offers a chance to work at the forefront of applying innovative data science technologies in the marketing domain. You will be instrumental in shaping the future of marketing strategies, delivering groundbreaking solutions that drive business growth at some of the best brands globally. You will have the opportunity to work closely with data scientists, software engineers, and product managers to deliver innovative data-driven solutions that solve our customers toughest challenges.