Data Infrastructure Engineer

at  Grammarly Inc

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.
This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

THE OPPORTUNITY

To achieve our ambitious goals, we’re looking for a Software Engineer, Data Infrastructure, to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.
Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.
As a Software Engineer on the Data Infrastructure team, you will create engineering and analytical efficiencies as the owner of several crucial company-wide services. Our cutting-edge data lake is the central hub for all data producers and data consumers, so your impact will span all of Grammarly. You will have the opportunity to design and build sustainable and scalable systems.
Software engineers on the Data Infrastructure team are responsible for ingesting, processing, and serving over 30 billion daily events. Grammarly relies on this team to unlock efficiencies of scale, provide real-time data to other services, and maintain the highest standards of data security.
We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!

In this role, you will:

• 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.

QUALIFICATIONS

• 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, 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.

• 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