Software Engineer, Grammarly

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based
• Design, build, and own processes that structure, enrich, aggregate data, and generate features with sub-hour latency in streaming technologies like Spark, Flink, Kafka, Kinesis etc
• Create and own frameworks, tools, and systems that help other teams build analytics
• Can lead 2-3 engineers in building complex systems and can mentor others
• Can lead design reviews, and be a driving force to change how data is stored and accessed from our analytical data platform
• Has experience with Python, Scala, or Java
• Has experience with designing database objects and writing relational queries
• Has experience designing and standing up APIs and services
• Has experience with system design and building internal tools
• Has good knowledge of and at least some experience with AWS (or, alternatively, has deep expertise in Azure or GCP and is willing to learn AWS in a short time frame)
• Can knowledgeably choose an open source or third-party service to accomplish what they need or, alternatively, can devise a quick and simple solution on their own

• The Data Engineering team has a critical mission to equip all Grammarlians with the data and tools they need to build analytical products and make decisions
• To deal with the massive scale of data, our team employs software design principles to keep our data healthy and freely flowing
• We are looking for an experienced Software Engineer who can lead independently, lead others, and drive projects end to end
• This person will build highly automated, low-latency core datasets to help engineers and end users across Grammarly work with analytical data at scale
• This person will also create tools and own back-end software frameworks, platforms, and tools that other teams can use to build analytics at scale
• Drive improvements to make our analytics effortless by creating and adjusting core data models and storage structures, all while understanding the needs of our users
• Make analytical data and metrics usable within a few minutes of real world events occurring, and build streaming processes for the output derived events and aggregate data
• Model structure, storage, and access of data at very high volumes for our data lake house
• Improve developer productivity and self-serve solutions by contributing components to our stream data processing framework(s)
• Own data engineering's infrastructure-as-code for provisioning services that allow our engineers to deploy mature software installations within a few hours
• Build a world-class process that will allow our systems to scale
• Mentor other back-end engineers on the team and help them grow
• Build and contribute to AWS high-scale distributed systems on the back-end

• Support for professional development with training, coaching, and regular feedback
• Global, local, and team-specific events and programs
• Catered lunches
• Gym and recreation stipends
• Admission discounts
• Work from home opportunities
• Medical, dental, vision, financial, and other benefits, as well as equity
• Support to set up a home office
• Ample and defined time off
• 401(k) matching

Total funding: $400m

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