Senior Software Engineer, Data Platform

Responsibilities

• Design, implement, and own data-intensive, high-performance, scalable platform components.
• Build, deploy, and optimize streaming infrastructure and systems supporting analytics and machine learning.
• Collaborate with engineers, architects, and cross-functional partners on project design and implementation.
• Participate in design reviews, code reviews, analysis, performance tuning, and production debugging.
• Coach and mentor engineers while helping scale the engineering organization.

Requirements

• At least 4 years of software development experience.
• Proficiency in at least one programming language and comfort with backend languages including Java, TypeScript, Ruby, Go, or Python.
• Experience with at least one of MySQL, Redis, or PostgreSQL.
• Knowledge of computer science fundamentals and strong API design skills.
• Experience working on geographically distributed teams and delivering work incrementally.
• Comfort with React or similar frontend UI stacks, or willingness to learn.
• Preferred experience with Kinesis, Kafka, Flink, Spark, Beam, Snowflake, Hadoop, Kubernetes, or Mesos.
• Preferred experience with security, encryption, identity management, authentication infrastructure, public cloud providers, large-scale data integration, batch and online systems, or distributed systems.
• The employee must be physically located on U.S. soil; there is no citizenship requirement.

Benefits

• Equity may be available, along with bonus and health, dental, and vision insurance.
• Benefits include a 401(k), flexible spending account, and paid leave including PTO and parental leave.
• Immersive in-person onboarding and opportunities for talent development, social impact, and community connection are provided.
• The role is limited to employees located in the 50 states, the District of Columbia, or U.S. outlying areas.