Advanced relocation package
About People.ai
People.ai accelerates enterprise growth through the power of AI. With the industry’s only Revenue Intelligence System, People.ai frees all customer-facing teams, including sales, marketing, and customer success, from manual data entry by automatically capturing all contact and customer activity data, dynamically updating CRM and other systems of record, and providing actionable intelligence across management tools to realize the full selling capacity of the enterprise. Some of the world’s best brands are leveraging People.ai to transform their business, including Lyft, New Relic, Okta, Tanium, and Zoom.
At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness and critical thinking to activities that matter most in their professional life, the more effective a professional they become. We're developing a deep understanding of the professional world, mapping people, companies, and the information that flows between them through natural language processing and machine learning. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving enterprise growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own.
Position
As a Staff 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. The data infrastructure team is responsible for data ingestion from 3rd-party systems, it's processing and storage. We use Spark as the execution engine and Amazon S3 and Riak for storage.
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.
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.
Your qualification
- 10+ years of professional experience working on backend systems in an enterprise environment
- 3+ years experience programming in Python 2.x/3.x, Scala 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 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