As a Lead/Senior Software Engineer on the data team, you will design and implement the most critical components of our Revenue Intelligence System to deliver to our product and technology vision. At the same time, you will shape the Engineering culture at the company through a mixture of your experience and leading by example. You will also be responsible for shaping the roadmap of the components you own.
— 10+ years of professional experience working on backend systems in an enterprise environment
— 5+ years experience of backend programming
— Experience with enterprise-grade stack for scalable apps including messaging broker, in-memory storages, NoSQL and key-value databases
— Strong knowledge of TDD, Unit and automated tests paradigms
— Strong skills in SQL and RDBMS solutions
— Understanding of SOA, micro-services and event-driven architecture
— Experience with containerized applications, Docker and Kubernetes are appreciated
— Possess a DevOps as a Culture mindset, AWS experience is a plus
— Strong knowledge of HTTP stack and REST principles for integration with 3rd-party vendors
— Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline
— Design, implement, test, and maintain features in the following core systems within our platform.
— A scalable, fault-tolerant system for synchronizing tens of billions of sales data records into Customer Relationship Management (CRM) systems.
— A social graph of the world’s sales data, incorporating hundreds of millions of relationships between people, companies, and deals to create actionable advice for sales and marketing teams.
— An intelligent system for matching sales activity (e-mails, calendar data, calls) with sales data records from Customer Relationship Management (CRM) systems, incorporating both complex business rules and using Machine Learning to leverage the company’s social graph.
— Our core infrastructure, including areas such as user management, authentication and authorization within our product.
People.ai is the AI platform for data-driven enterprise companies. We’re building the world’s largest self-updating business activity and relationship graph. We’re leveraging ML and AI to deliver real-time insights to business leaders and executives. Our team members value one another, our customers, radical transparency, and end-to-end ownership.
We value ownership highly—the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you’ll be a part of highly independent and autonomous team. Since we’re building out a robust data layer that needs to be presented elegantly to the end user, you’ll be working with a large array of different technologies and fields. Expect lots of interesting challenges.