Sazabi Logo

Sazabi

Software Engineer, Infra/Data

Reposted 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

9 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
13 Minutes Ago
In-Office or Remote
Austin, TX, USA
123K-165K Annually
Junior
123K-165K Annually
Junior
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead detection and response efforts: build detections, manage SIEM and orchestration tooling, deploy AI in SOC workflows, investigate incidents across AWS/EKS environments, support threat modeling and vulnerability scanning, and take on-call shifts.
Top Skills: Ai ToolingAWSBlockchainEksGoGoogle SuiteKubernetesmacOSOrchestration PlatformsPythonSIEMSlack
21 Minutes Ago
Remote or Hybrid
Massachusetts, USA
130K-155K Annually
Mid level
130K-155K Annually
Mid level
Cloud • HR Tech • Information Technology • Software
Develop and deploy NLP and LLM-powered models on large volumes of unstructured workplace text. Work across multiple projects: text classification, information extraction, LLM evaluation, prompt design, model evaluation, and production handoff. Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product to translate client needs into actionable tools and analyses.
Top Skills: AWSBedrockBoto3GensimHuggingface TransformersLlmsNltkPandasPyarrowPythonScikit-LearnSpacyStatsmodels

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account