- Work in a small team, collaborating with other engineering teams and PMs on major projects that involve scaling and feature development

 

- Lead development efforts of new services that deal with large scale data or high throughput data pipelines/streams

 

- Architect and scale out our ETL framework to support back data processing in technologies such as Spark

 

- Manage and implement scalable monitoring and escalation strategies across our systems

 

- Act as a technical architect, elegantly separating domain models to ensure partner complexity doesn't leak into our app

 

- Invest in infrastructure that ensures our small team can efficiently manage hundreds of integrations

 

Qualifications:- 6+ years software engineering experience

 

- Python, Scala, Spark, Lambda, Kinesis are the most relevant skillsets. Experience in a few of those is ideal

 

- Experience in designing and implementing scalable applications/microservices

 

- Experience creating robust RESTful APIs

 

- Emphasis on clean, well-designed code

 

- Deep understanding of Postgres, MySQL, and other relational databases

 

- Experience working with large datasets/databases and scaling memory-intensive applications

 

- Know how to design for failure

 

- Gritty mentality with a focus on shipping

 

- Process-oriented executor; you can manage multiple projects concurrently and prioritize effectively

 

- Startup work experience a major plus!