Senior Data Systems Engineer

Senior AI Data Systems Engineer
Compensation: $180000 $260000 USD
Location: San Francisco Bay Area (Hybrid 2 days inoffice)

Who Are We

We are building the foundational infrastructure that powers the next generation of AI models for leading research labs and enterprises.

Whats in it for you

• HighImpact Work Build AI infrastructure used by top research labs and enterprises to train leading AI models.
• Technical Excellence Work at the forefront of distributed systems largescale databases and AIdriven data pipelines.
• FastPaced Innovation Thrive in an environment that rewards ownership rapid execution and direct impact.
• Career Growth Your contributions directly impact product success and career advancement.
• Clear Ownership Drive endtoend engineering solutions with autonomy and accountability.

What will you do

As a Senior AI Data Systems Engineer you will lead the design and development of highperformance scalable data infrastructure that supports AI training workflows. Your expertise will power seamless data ingestion storage and streaming enabling customers to manage massive datasets for training nextgeneration AI models. You will own key data infrastructure components collaborating with crossfunctional teams to deliver efficient scalable solutions.

• Develop Scalable Data Systems Design and optimize highthroughput data infrastructure leveraging distributed databases cloudnative solutions and advanced data processing frameworks.
• Enhance AI Workflow Performance Improve indexing querying and storage efficiency to accelerate AI model training and deployment.
• Optimize Data Pipelines Build and maintain largescale data pipelines using distributed queues message brokers and job management frameworks.
• Drive Engineering Excellence Mentor engineers advocate for best practices and contribute to technical knowledgesharing.
• Improve System Reliability Work closely with support teams to troubleshoot and resolve performance bottlenecks.
• Advance AI Capabilities Enable realtime AI data workflows and enhance our platforms ability to handle largescale highperformance AI training workloads.

What will you need

• 5 years of experience in backend and data infrastructure engineering.
• Strong expertise in database architecture including relational (PostgreSQL MySQL) NoSQL (MongoDB Cassandra) and cloudnative solutions (Google Spanner AWS DynamoDB).
• Experience with distributed data systems including message brokers (Kafka RabbitMQ) job orchestration frameworks and scalable storage architectures.
• Proficiency in backend programming using Python Java or TypeScript; familiarity with Node.js and NestJS is a plus.
• Experience designing largescale data pipelines for highthroughput data processing.
• Deep understanding of system performance optimization indexing strategies and data retrieval for AI applications.
• Cloud expertise with GCP (preferred) AWS or Azure.
• Strong problemsolving skills with a structured approach to tackling complex engineering challenges.
• Proactive mindset with the ability to work independently and take ownership of missioncritical systems.
• Experience with AIpowered development tools including GitHub Copilot and Cursor.

Nice to Have

• Experience with data warehousing (Snowflake BigQuery).
• Familiarity with Kubernetes and DevOps tools (ArgoCD DataDog).
• Background in AI training workflows LLMbacked AI services or AI data processing pipelines.
• Knowledge of memory optimization and performance tuning in dataintensive systems.

Join us and help shape the infrastructure that powers the future of AI.

Senior AI Data Systems Engineer
Compensation: $180000 $260000 USD
Location: San Francisco Bay Area (Hybrid 2 days inoffice)

Why Join Us

• HighImpact Work Build AI infrastructure used by top research labs and enterprises to train leading AI models.
• Technical Excellence Work at the forefront of distributed systems largescale databases and AIdriven data pipelines.
• FastPaced Innovation Thrive in an environment that rewards ownership rapid execution and direct impact.
• Career Growth Your contributions directly impact product success and career advancement.
• Clear Ownership Drive endtoend engineering solutions with autonomy and accountability.