Software Engineer - Platform/Infrastructure

Responsibilities

• Design, build, and operate scalable backend and infrastructure systems
• Develop and maintain services that support real-time and batch data processing
• Contribute to core platform components (compute, storage, orchestration, and tooling)
• Improve system reliability, observability, and performance across services and workflows
• Collaborate with data and ML teams to support data ingestion, processing, and production use cases
• Optimize systems for scalability, cost, and efficiency in cloud environments
• Build internal tools and abstractions that improve developer velocity and system consistency
• Contribute to secure and compliant infrastructure design

Requirements

Must-Have:

• 3–7+ years of experience in backend, infrastructure, or platform engineering
• Experience building and operating distributed systems at scale
• Familiarity with real-time or batch data processing systems (e.g., Kafka, Spark, or similar technologies)
• Strong understanding of system design, scalability, and reliability principles
• Experience with cloud platforms (AWS/GCP) and distributed storage systems
• Ability to work across the stack and collaborate with cross-functional teams
• Comfort operating in a fast-moving startup environment with high ownership

Nice-to-Have:

• Experience with data infrastructure or data platforms
• Familiarity with stream processing or messaging systems
• Exposure to ML infrastructure or data-driven product features
• Experience with workflow orchestration tools (Airflow, etc.)
• Background in security or high-sensitivity data environments

Compensation & Benefits

• Competitive salary + equity ($160K - $225K / year)
• Health, dental, vision coverage
• Flexible PTO