As a Staff Engineer, you are a technical leader in the organization. You will organize, lead and implement strategically important projects and systems. You will expertly design and implement scalable, distributed, fault tolerant systems that satisfy complex requirements.
You will lead technical decisions in your team and the chapter by demonstrating expert judgement and the ability to build consensus in the organization. You approach technical decisions strategically and and are able to describe, analyze and convince others about technical trade offs and decisions. You work with a diverse set of stakeholders to identify strategically important cross functional problems and take the lead in find the solutions.
You improve the pod, the engineering team and the company. You can lead initiatives and meetings in the engineering organization and are able to help your teammates be better engineers through better processes, practices or technical guidance.
You are trusted to communicate the Engineering brand within and outside the company, both technically and culturally.
- BS/MS in Computer Science, similar technical field of study, or practical experience.
- 5+ years of experience with system design, algorithms, data structures, and coding.
- Proficient in Java.
- Experience with Data Visualization
- Experience with NoSQL or similar relational database systems
- Experience developing a maintainable codebase and optimizing code for performance
- Communication, collaboration, and positive attitude to work in a fast-paced environment
About the Team
At Leanplum, we want to make marketing more relevant and personalized. In order to do that, the Data Platform team needs to process huge amounts of data and resolve that data into users and groups of users. This work is foundational to our entire product. Our team manages distributed, high volume APIs and data ingestion services through which we currently serving over 25k low latency requests per second, processing over 16B events a day, for billions of users, and growing fast. We will work with partners in geolocation, machine-learning, in-store analytics, and more to ingest all relevant types of data. Every data point about users, whether it is from our SDKs, servers, or third parties is processed, enriched and managed by the team. We then use those data points to group users in innovative and intelligent ways. Most importantly, we are responsible for the compliance, control, and security of this data. Our distributed Java services and caches run on Google Cloud, while our SDKs are embedded in billions of devices over the world.