As a Senior Backend Engineer you will work with a vast amount of business data, design APIs, write machine learning and automation code, and build scalable systems.
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.
— 5+ years of professional experience working on backend systems in an enterprise environment
— 3+ years experience programming in Python 2.x/3.x or Java
— 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 will be a plus
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 records relations sales, 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.
— Build monitoring and alerting tools to prevent our application from being unavailable; be part of weekly on-call rotations to quickly resolve any infrastructure issues whenever our application becomes unavailable.
Accenture has recently stated that “the impact of AI technologies on business is projected to increase labor productivity by up to 40% and enable people to make more efficient use of their time.” A specific area that will have the largest impact is leveraging AI for greater revenue intelligence.
People.ai built and leads the emerging Revenue Intelligence market with our Revenue Intelligence System that empowers sales, marketing, and customer success teams to unlock full selling capacity. Companies like New Relic, Tanium, Lyft, Okta, and Mulesoft use People.ai to automate the capture of all contact and customer activity data, dynamically update their CRM and provide actionable intelligence across your management tools.