Senior Software Developer - Experimentation

About the team + role

Robinhood has an expansive experimentation platform, Kaizen, and SerVars, our Dynamic Configuration platform. We are looking for a Senior Software Developer to help us grow from our current walk stage of the offerings to aspirational leap/fly stages. If you are passionate and have built experimentation platforms at scale, and believe that experimentation is pivotal to significant product growth, we would love to talk to you about the team!

Using these services, Robinhood is able to run significant experiments to identify new and novel ways to continue to democratize finance! These services are widely used across the company and reach up to 300K TPS! We build the service in modern Python, Go, React and work very closely with multi-functional partners to ship features daily. It's an exciting team where you work closely with your customers, using feedback to continuously iterate on a significant product.

What you’ll do

• Build and own core features of some of Robinhood's most heavily trafficked services!
• Craft large scale systems within a team, making the right tradeoffs for risk and long-term maintainability
• Work with multi-functional teams to understand their needs and build systems that help us reach company wide goals to improve bottom line metrics such as revenue, customer satisfaction and operational efficiency
• Be a champion for engineering excellence, improve operational efficiency of the team and drive these initiatives across the organization
• Mentor both formally and informally developers and data scientists at Robinhood, define and formalize the architecture design process and guide the overall architectural direction

What you bring

• Demonstrated experience you are a proven developer with experience planning and building large projects with long-term impact on a single system or team.
• A big bonus: consistent track record of working closely with data scientists, understanding their needs, and translating sophisticated data science models into production-level code. You can effectively communicate technical concepts to non-technical partners and collaborate across teams to achieve shared objectives.
• Solid understanding of the scientific principles behind experimentation, including but not limited to A/B testing, hypothesis testing, and statistical analysis. You are adept at implementing and interpreting experiments designed by data scientists to guide product development and decision-making processes.
• Experience working with Bazel, Kubernetes, AWS, Kafka, Postgres, Airflow and Presto.
• Passion for mentoring junior developers and improving the engineering craftsmanship.

Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.

Last updated on Aug 22, 2024