top of page
People ai

Senior Software Engineer, Data Modeling

People.ai

facebook-icon.png
linkedin-icon.png
twitter-icon.png

share this job opportunity

competitive salary

Poland

Information Technology, Engineering

English

remote

about the company

People.ai delivers the industry's leading revenue operations and intelligence (ROI) platform. Using patented AI technology, it transforms business activity such as email, meetings, and contacts, into account and opportunity management solutions that increase sales rep productivity, accelerate revenue growth, and maximize marketing ROI. Companies such as AppDynamics, DataRobot, Ivanti, Okta, and Zoom rely on People.ai to unlock growth.

is looking for you!
Metropole.jpg

diversity statement

"At People.ai, we believe that people enrich the world around them in countless ways."

your area of responsibility

  • Design and implement core backend services and data pipelines.

  • Ensure high data quality and accuracy of generated insights

  • Document design choices and operational knowledge to successfully deploy and run services.

  • Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.

  • Ensure robust alerting, dashboards, and runbooks for production services are in place.

  • Collaborate within the team and with other engineering teams to build new features and products according to business needs.

  • Follow software design and development best practices and promote such practices in the team.

your profile

  • 5+ years of professional experience working on backend systems in an enterprise environment.

  • 2+ years experience programming in Python 2.x/3.x or Scala or Java.

  • Professional experience with data analysis / data science tasks.

  • Experience with LLMs is a plus.

  • Understanding of SOA, microservices, and event-driven architecture.

  • Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases.

  • Strong knowledge of TDD, Unit, and automated test paradigms.

  • Experience with SQL and RDBMS solutions.

  • Experience with large-scale data processing (Spark).

  • Experience with Elasticsearch and/or Kafka is preferred.

  • Experience with containerized applications, Docker, and Kubernetes.

  • Possess a DevOps mindset, AWS experience is a plus.

  • Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline.

the benefits

Discover them on our website!

facebook-icon.png
linkedin-icon.png
twitter-icon.png

share this job opportunity

join our talent program and get alerts for dream jobs just like this one

bottom of page