Software Engineer, Data Loading Infrastructure

Responsibilities

• Develop, test, and operate scalable backend microservices, caching layers, and high-throughput data-processing platforms.
• Participate in system design, implementation, automated testing, deployment, maintenance, code reviews, and architectural discussions.
• Build and optimize relational and non-relational storage interactions, streaming data pipelines, and database query pathways.
• Integrate backend infrastructure with product features and enterprise capabilities in partnership with product engineering teams.
• Participate in on-call rotations, debug production issues, and refine monitoring tools while maintaining platform health.

Requirements

• At least 2 years of experience working within large, well-maintained codebases.
• Experience operating backend services in production, including operational tooling, monitoring and alerts, and live incident resolution.
• Familiarity with containerized environments, cloud infrastructure, and microservice architectures.
• Knowledge of relational or non-relational storage systems, real-time data streaming, or caching layers is preferred.
• Clear communication and collaborative work with engineers and cross-functional teams.
• Curiosity about AI tools and emerging technologies and willingness to use them to improve productivity, collaboration, or decision-making.

Benefits

• Office-centric hybrid schedule in the San Francisco office, with standard in-office days Monday, Tuesday, and Thursday; Wednesday work-from-home is generally available and Friday depends on team and work requirements.
• Estimated base salary range of $171,000–$190,000, excluding additional compensation components.
• Mental health, wellness, and fitness benefits.
• Career coaching and support.
• Inclusive family-building benefits.
• Long-term savings or retirement plans.
• In-office culinary options supporting dietary preferences.