Leverage AWS, write code, build data pipelines, and create brand-new systems while contributing to existing ones.
Build and manage Grammarly’s central ingestion infrastructure.
Work with partners (researchers, ML engineers, and others) across engineering teams to build tools that seamlessly incorporate data.
Influence the big picture: make architectural decisions, research relevant technology, and plan for the future.
Requirements & Skills:
Has experience with system design and building large distributed computing systems.
Can knowledgeably choose a third-party service to accomplish what they need or, alternatively, can devise a quick and simple solution on their own.
Has good knowledge of and some experience with AWS (or has deep expertise in Azure or GCE and is willing to learn AWS in a short time frame).
Has experience with some of the following: Spark, Scala, Java, Kafka, Kinesis, and Terraform.
Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
Has at least three years of experience managing a live production environment, preferably a high-load system.
Is a strong communicator. We are a tightly integrated team that takes a collaborative approach to our work and fosters a sense of shared ownership in our accomplishments. We expect colleagues to communicate proactively: talk, email, chat—you name it.
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.
