Senior Software Engineer, Data Centralization & Storage

What You’ll Accomplish

• Architect high-throughput solutions that power our most critical operations, ensuring scalability and efficiency.
• Expand and enhance our self-service platform, collaborating with cross-functional teams to fuel our AI, ML, and analytics goals.
• Tackle complex distributed data challenges, streamline system integrations, and uphold high standards of quality and governance.
• Champion cutting-edge technologies, keeping our platform at the forefront of industry advancements and enabling strategic outcomes.
• Unify data from diverse systems, paving the way for experimentation and innovation while empowering teams with intuitive tools and frameworks.

Your Expertise

• Track record of debugging issues across layers—from application logic to infrastructure bottlenecks—and understand the tradeoffs in system design.
• Proven experience as a Software Engineer with a focus on high throughput scalable systems.
• In-depth knowledge of high throughput processing technologies such as Spark, Flink, and/or Kafka.
• Proficiency in Java and strong understanding of object-oriented design, data structures, algorithms, and optimization.
• Development experience working with data warehouse tools like Snowflake, Clickhouse, Trino, etc.
• Experience with open source data storage formats such as Apache Iceberg, Parquet, Arrow, or Hudi.
• Knowledgeable about data modeling, data access, and data replication techniques, such as CDC.
• Proven track record of architecting applications at scale and maintaining infrastructure as code via Terraform.
• Excited by new technologies but conscious of choosing them for the right reasons.

What We Use

• Backend: Java / Spring Boot microservices, Gradle, DynamoDB, Pulsar, Flink, Spark, Postgres, Planetscale, Redis, AWS.
• Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, esbuild, Playwright.