Senior Software Engineer, Data Modeling (MX)

As a Senior Software Engineer on the Data Modeling team, you will build and maintain a scalable and real-time architecture for processing vast amounts of data to power the next-generation of our LLM-based query engine (SalesAI) that will answer questions of various complexities and unlock rich insights for People.ais customers. You will also maintain and enhance our batch processing pipelines. You will collaborate across R&D, leverage customer feedback, perform extensive data analysis, design and develop algorithms, storage formats, and APIs to unlock high performance and low latencies.

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 a 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.

Responsibilities:

• 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.

Requirements:

• 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.
• Bachelors Degree in Computer Science, Computer Engineering, or in a closely related discipline.