Staff Backend Engineer Experiments
Employment Info
JOB DETAILS
Requirements
- Experience developing distributed web applications on the JVM; experience writing Java (experience with other JVM languages such as Scala, Kotlin, etc is a plus).
- Experience with planning, executing architectural changes, and a creative and conceptual problem-solving approach as opposed to a framework or library focused.
- Deep knowledge of computer science and engineering fundamentals: concurrency, data structures, and distributed systems. An understanding of resiliency techniques and patterns like load balancing, throttling, back pressure, and circuit breaking.
- Experience working in large distributed cloud environments (ideally AWS), experience with cloud native technologies such as Kubernetes and Terraform is a plus.
- Strong communication and teamwork skills, both written and verbal. You’re comfortable working across engineering, PM, PD, and Data Science to bring different perspectives together.
- Experience facilitating collaboration and fostering positive working relationships between stakeholders and engineers, promoting a culture of trust, respect, and open communication.
- Experience guiding and mentoring other engineers, helping unblock technical challenges and being an all-around role model.
- A genuine curiosity about how AI can transform experimentation, not just as a feature to ship, but as a way to fundamentally change how teams get to insights. Think AI-assisted experiment design, automated analysis, or reducing the time from experiment end to decision.
- Experience working with large distributed data processing systems (e.g. Snowflake), with strong SQL and data modelling skills. You’ll work closely with data scientists, so experience collaborating with DS is essential in this role.
- A foundational understanding of core statistical concepts relevant to experimentation is a plus but not required, such as randomisation, statistical inference, power analysis, and natural variation.
Desired Qualifications
- Experience with other JVM languages such as Scala or Kotlin is a plus.
- Experience with cloud native technologies such as Kubernetes and Terraform is a plus.
- A foundational understanding of core statistical concepts relevant to experimentation such as randomisation, statistical inference, power analysis, and natural variation is a plus.
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