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# Software Engineer, Infra/Data

- **Company:** SAZABI INC.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Databases, Data Architecture, Data Infrastructure, Relational Databases, Distributed Systems, PostgreSQL, Performance Tuning, Next.js, Software Engineering, Data Streaming, TypeScript, Reinforcement Learning, Data Processing, Agentic-AI, Kubernetes, Terraform, Stream Processing, Data Pipelines
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-infra-data-san-francisco-ca--b4e8552e-e52e-4f52-977c-2d487b341232

## About the Role

Software Engineering, Software Development, Artificial Intelligence (AI), Instrumentation, Production Systems, Carbon Fiber, High Throughput, Data Processing, Distributed Computing, Performance Tuning/Optimization, * Strong experience with distributed systems and data infrastructure

 * Familiarity with streaming systems, databases, and large-scale data pipelines
 * Deep understanding of performance tradeoffs (latency, throughput, cost)
 * Ability to design systems from scratch, not just maintain them
 * Comfort working close to the metal when needed
 * Bonus: experience with observability platforms, logging systems, or time-series data

## Description

Our stack is TypeScript end-to-end. We use PostgreSQL for relational data, Temporal for durable execution, and the Vercel AI SDK to orchestrate our AI agents against the latest models. At the infrastructure layer, we use Terraform, Kubernetes, and AWS.

Some of the most interesting engineering problems we grapple with are:

 * AI agents at production scale
 * Log processing at scale
 * Multi-region data architecture
 * Real-time streaming infrastructure
 * Evals and reinforcement learning
 * Zero-downtime deployments and fast rollbacks, 1. Less is more. Most observability platforms drown you in dashboards and modules that you don't need. We believe observability needs less UI, not more. Sazabi surfaces exactly the information you need in a simple, beautiful chat interface.
 2. Logs are all you need. The "three pillars of observability" idea is outdated. Sazabi accepts only one kind of telemetry: logs. This simplifies the instrumentation and product experience dramatically.
 3. Monitoring is dead. Creating and maintaining static alerts for a fast-evolving system is a fool's errand. The future is agentic anomaly detection: AI agents that automatically check your app for issues 24-7.

We came to these beliefs the hard way - after years of building infrastructure and responding to incidents with tools that offered plenty of bells and whistles, but no clear answers when it counted most.