Day to Day:
- Lead and mentor a team of engineers to create great products
- Validate data, triage discrepancies, and optimize queries with SQL
- Work with Python in AWS lambdas to manage existing ETL processes
- Contribute to our service code base in Scala, or help set up Spark
- Own Even’s data pipeline from its start to its ends, supporting our Business Intelligence and Data Science teams
- Build the tools our partners use to study and optimize their performance on our platform
- Recruit, develop, and retain top talent
- Own software development lifecycle and Agile practices, including sprint planning, retrospectives, etc
- Review code with an emphasis on readability, maintainability, and standards
- Provide support for colleagues who depend on your team’s output, tracing data through various areas of the stack
- Monitor, maintain, and improve observability and alerting for your team
- Identify opportunities for improving our processes with a focus on efficiency and impact
- Participate in discussions around feasibility and scope of product initiatives
- Interface with product, business and other team leads to coordinate resources, define projects and manage work
- Demonstrate company values and promote them on the team: empowerment, transparency, empiricism, and fearlessness
You may be a fit if you have:
- 5+ years software engineer experience or a strong academic background in computer science
- 2+ years demonstrable success leading, mentoring, and developing engineering teams, preferably in a high growth, tech start-up environment
- A very good understanding of various database internals (relational, columnar, memory) at a theoretical level, including how data is stored, changed, and retrieved
- Experience with site reliability engineering concepts and practices
- Hands-on experience debugging systems and identifying root causes
- Successfully built personal relationships and collaborated across organizational boundaries to solve problems and beat expectations
- Meticulous attention to detail
- Strong people skills with a well-developed management philosophy, including opinions on process and how teams should operate
- Understanding of non-technical data-handling concerns including regulatory compliance and best practices with regard to personal information.
- Working knowledge of AWS infrastructure, containerized services, and CI/CD pipelines
- Solid understanding of POSIX shells for working with internal tooling
- Familiarity with basic accounting concepts
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