Data Engineer (AI track)
Build and scale the next generation of product security.
Experience Level
Mid-Senior
Data Engineer
We’re looking for a Data Engineer who’s hungry to grow, especially
into the world of AI. If you’re driven, curious, and looking to make
the leap from data infrastructure into machine learning and large
language models (LLMs), this is your chance.
You’ll work closely with our founding team to develop systems that extract,
transform, and model complex codebases into graph-based architectural representations.
Long term, you’ll help us push boundaries in semantic code understanding,
inference models, and secure-by-design AI tooling.
Responsibilities
- Build inference pipelines: Build LLM-powered
workflows to analyze, search, and improve codebases and natural
language documents.
- Implement AI data infrastructure: Design, manage,
and operate data pipelines to support AI-powered features.
- Optimize AI systems: Lead the design and
implementation of systems to fine-tune, benchmark, and optimize LLMs
for security use cases.
- Integrate with modern platforms: Connect with tools
like Google Docs, Confluence, Jira, GitHub, and process PDFs to
ingest development artifacts.
Required Skills & Experience
-
5+ years of experience building scalable data systems or
data-intensive applications
-
Advanced Python proficiency, particularly with asynchronous
programming (asyncio)
-
Experience designing and deploying data pipelines in cloud
environments (AWS preferred)
-
Proficient in SQL (PostgreSQL) and experience with vector databases
(e.g., pg_vector)
-
Experience with AI model APIs (OpenAI, Anthropic, Hugging Face) and
embedding-based retrieval
-
Familiar with performance and scalability considerations in data
systems (caching and orchestration)
-
Comfortable with containerized development (Docker) and
infrastructure-as-code (Terraform)
-
Solid grasp of modern engineering practices: CI/CD, testing, and
agile workflows
Bonus Qualifications
-
Experience with LLM-related concepts: fine-tuning, prompt
engineering, hallucination reduction
-
Exposure to semantic code analysis, AST parsing, or graph-based code
modeling
- Familiarity with serverless architectures (e.g., AWS Lambda)
-
Contributions to open-source AI or data infrastructure projects
About DevArmor
DevArmor is a venture-backed startup founded by repeat entrepreneurs and
security veterans with successful exits. Backed by top-tier investors
and advised by leaders from Sierra.ai, Databricks, Netflix, Mozilla, and
Semgrep, we're reimagining how secure software gets built.
As an Okta executive puts it:
"DevArmor bakes security into the earliest design decisions—exactly
what our industry needs to stay ahead. The team brings deep experience
and real empathy for developers. I’m excited to support their mission
to make security a first-class part of building software."
Suchit Agarwal
Director of Engineering at Okta
Why Join DevArmor?
- Tackle real challenges: Help solve the hard problem
of scaling security without slowing down dev teams.
- Work with the best: Join a small, expert team in
security, AI, and dev tools.
- Own your work: Shape the product, roadmap, and
culture from day one.
- Build the future: Work at the frontier of AI, code
analysis, and secure-by-design systems.
- We’ve got your back: Competitive pay, great benefits,
and flexible work.
