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Software Engineer - Data InfrastructureFable Security • San Francisco, California, United States
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Software Engineer - Data Infrastructure

Fable Security
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

About Fable Security
AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 70% of security breaches, making human behavior the primary and growing attack surface. At Fable, we believe that the right tools can convert people from targets to another layer of defense.
Fable is the human risk platform that directly shapes employee behavior. Designed for simplicity and enterprise scale, our agentic platform synthesizes complex employee data, pinpoints risky behaviors, and deploys highly relevant interventions to people automatically, in real time, right where they work.
Backed by Redpoint Ventures and Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity’s biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security.
Why Join Us
Build and scale the
foundational data infrastructure
powering a category-defining product
Work closely with
engineering, data science, and product teams
to operationalize data at scale
Join a
small, high-caliber team
where you’ll have outsized ownership and impact
At an early-stage company, every engineer directly shapes how the product works and evolves. You’ll help define not just the system—but the way the company thinks about data.
Your Role
As a Data Infrastructure Engineer, you will own the
architecture, scalability, and reliability of our data platform . You’ll design and build the systems that power everything from
real-time product features to internal analytics and machine learning workflows —from raw ingestion to production-ready datasets. You’ll develop the architecture and establish best practices on which our data-driven products are built. This is a highly cross-functional role where you’ll partner closely with engineering, data, and product teams to ensure our data foundation scales with the company.
Responsibilities
Design, build, and maintain
scalable data pipelines and infrastructure
Develop
batch and streaming systems
for ingesting and processing large-scale data
Own core components of the
data platform (warehouse, lake, orchestration, tooling)
Implement
data modeling, transformation, and versioning frameworks
Ensure
data quality, observability, and reliability across pipelines
Optimize systems for
performance, cost, and scalability
Build tooling to support
reproducible datasets and experimentation
Partner with data scientists and engineers to
productionize ML and analytics workflows
Contribute to
secure and compliant data infrastructure in cloud environments
Your Skillset: Must-Have
3–7+ years of experience in
data infrastructure, infrastructure, or platform engineering
Strong understanding of real-time and batch data processing systems, including
stream processing, messaging architectures, and large-scale data workflows (Spark, Kafka, etc.)
Experience with
modern data tooling (dbt, Airflow, etc.)
Strong understanding of
data modeling, ETL/ELT, reverse ETL, and orchestration
Experience designing for
scalability, reliability, and observability
Hands-on experience with
cloud platforms (AWS/GCP) and storage systems
Ability to operate in a
fast-moving startup environment with high ownership
Nice-to-Have
Familiarity with
ML infrastructure or feature stores
Experience with
data versioning, lineage, or reproducibility systems
Background in
security, compliance, or high-sensitivity data domains
Previous experience at an
early-stage startup
How We Work
We value
impact over process —you’ll ship quickly and iterate
Engineers have
high ownership and autonomy
We operate with
tight feedback loops across product and engineering
We prioritize
technical rigor, simplicity, and long-term scalability
Compensation & Benefits
Competitive salary + equity
Health, dental, vision coverage
Flexible PTO
Opportunity to join at an early stage and
shape the company’s foundation
Why This Role Matters
Data is core to the product. You’ll be responsible for building the systems that enable: Real-time decision-making
Scalable analytics and experimentation
Reliable, production-grade data for customers and internal teams
Your work will directly impact how the company builds, ships, and scales.
The estimated salary range for this position is estimated to be $160K - $225K / year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors.
Fable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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