Sazabi Logo

Sazabi

Software Engineer, Infra/Data

Posted Yesterday
In-Office or Remote
Hiring Remotely in United States
Mid level
In-Office or Remote
Hiring Remotely in United States
Mid level
Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.
The summary above was generated by AI
What we're building

In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development?

Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams.

Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers.

We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.

What you’ll do
  • Build and scale our log ingestion and processing pipeline

  • Design systems for high-throughput, low-latency data processing

  • Own storage, indexing, and query systems for logs

  • Ensure reliability, scalability, and cost-efficiency of our backend systems

  • Work on distributed systems that power real-time observability

  • Debug and optimize performance at every layer of the stack

What we're looking for
  • 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

Our tech

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

What we offer
  • Competitive salary and equity

  • Free lunches (in-office only)

  • Health, dental, and vision insurance

  • Unlimited paid time off

  • Paid parental leave

Learn how we think and work

Our team comes from Brex, Y Combinator, Rootly, Google, Doppel, and other top tech companies. We move fast and hold a high bar for both the product and each other.

We operate according to six values:

  1. Integrity. We say what we mean, do what we say, and own our mistakes.

  2. Urgency. We treat every week like it matters, because it does.

  3. Craftsmanship. We care deeply about the quality of our work.

  4. Service. We're here to make developers’ and our teammates’ lives easier.

  5. Kindness. We're direct, and we move fast, but we treat each other well.

  6. Fun. We genuinely enjoy working together. If you don't love what you're building and who you’re building it with, what's the point?

You can find out more about us here:

  • Watch our launch video

  • Read the manifesto

  • Follow us on X and LinkedIn

The Sazabi philosophy

Sazabi is more than just a tool. It’s also a philosophy. We're taking a radically different approach to observability, centered on three big ideas:

  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.

If this way of thinking resonates with you, come build with us.

Similar Jobs

8 Days Ago
Remote or Hybrid
CA, USA
170K-360K Annually
Mid level
170K-360K Annually
Mid level
Artificial Intelligence • Software
The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.
Top Skills: GrafanaKubernetesPrometheusPythonRayTerraform
56 Minutes Ago
Easy Apply
In-Office or Remote
Easy Apply
Mid level
Mid level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
The Business Development Executive will lead Halter's expansion in the West Coast market by managing on-farm sales meetings, building a pipeline of farms, networking, and optimizing sales processes. They will contribute to revenue forecasting and work closely with a team to effectively sell Halter technology to farmers.
57 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
120K-135K Annually
Senior level
120K-135K Annually
Senior level
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
Lead a team of Client Success Managers, ensuring client retention and strategic partnerships while managing a small portfolio. Drive performance through coaching and data-driven decisions using Salesforce.
Top Skills: Salesforce

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account