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Los Angeles, CA, United States
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RG&T Solutions
Data Engineer, Security
RG&T Solutions · Los Angeles, CA, United States · via LinkedIn
10 hours ago
Full–time
No Degree Mentioned
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Ideal candidates should possess strong skills in data engineering, security protocols, cloud platforms, and scripting languages such as Python or SQL
Familiarity with encryption, access controls, and compliance standards is essential
Benefits
Benefits include competitive compensation, health insurance, flexible work arrangements, professional development opportunities, and a collaborative work environment focused on innovation and security excellence
Responsibilities
In this role, you will design, develop, and maintain secure data pipelines and infrastructure to support our organization's security initiatives and data analytics efforts
Building and optimizing scalable, reliable data architectures that ensure data security and compliance
Implementing security best practices in data storage, processing, and transmission
4 more items(s)
Job description
We are seeking a skilled Data Engineer, Security to join our team in Los Angeles, California. In this role, you will design, develop, and maintain secure data pipelines and infrastructure to support our organization's security initiatives and data analytics efforts.
Key Responsibilities Include
• Building and optimizing scalable, reliable data architectures that ensure data security and compliance
• Implementing security best practices in data storage, processing, and transmission
• Collaborating with security, data science, and engineering teams to integrate security controls into data workflows
• Monitoring data systems for vulnerabilities and implementing measures to mitigate risks
• Developing automation scripts and tools to enhance data security and operational efficiency
• Maintaining documentation of data security procedures and infrastructure configurations
Ideal candidates should possess strong skills in data engineering, security protocols, cloud platforms, and scripting languages such as Python or SQL. Familiarity with encryption, access controls, and compliance standards is essential.
Benefits include competitive compensation, health insurance, flexible work arrangements, professional development opportunities, and a collaborative work environment focused on innovation and security excellence.
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Product.ai
Senior Backend Engineer — Verification Platform
Product.ai · Los Angeles, CA, United States · via Wellfound
9 hours ago
$2.8L–$3.4L a year
Full–time
No Degree Mentioned
Apply directly on Wellfound
Apply on LinkedIn
Apply on Find Your Dream Job Today
Apply on Learn4Good
Job highlights
Identified by Google from the original job post
Qualifications
Verification infrastructure
You reason about systems in terms of invariants, failure modes, and tradeoffs — not features
When something breaks, your first instinct is "what's the structural cause?" not "what's the quick fix." You write specs before code and tests before implementations
9 more items(s)
Benefits
No board
A system under rapid evolution
The LLMAdapter and cost architecture
16 more items(s)
Responsibilities
The engineering team needs a senior backend builder who can own the platform layer that makes all of it work: verification pipelines, agent infrastructure, data models, and the systems that keep truth fresh
The System You'll Need to Model
A verification pipeline that cross-references merchant marketing claims against specs, reviews, and transaction data
19 more items(s)
Job description
Product.ai is building the truth engine for shopping. Every other AI tool summarizes polluted data and calls it an answer. We verify. Ground truth, not opinions. Profitable. Bootstrapped. No outside investors. No board. 25 people outperforming companies 10x our size. Building something new on top of 16 years of commerce infrastructure.
We're hiring a Senior Backend Engineer, Platform.
Why This Role Exists
Product.ai's verification engine processes millions of commerce claims against ground truth data. The platform is scaling — more categories, more surfaces, more agents consuming our intelligence. The engineering team needs a senior backend builder who can own the platform layer that makes all of it work: verification pipelines, agent infrastructure, data models, and the systems that keep truth fresh.
The System You'll Need to Model
• A verification pipeline that cross-references merchant marketing claims against specs, reviews, and transaction data. Latency, throughput, and accuracy are in tension — you'll navigate those tradeoffs daily.
• Agent infrastructure where AI agents consume verified knowledge via MCP and API. Each agent has different context budgets, latency requirements, and trust thresholds. The platform must serve them all.
• A cost-aware compute layer. Every LLM call has a dollar cost. You'll own the per-query cost ledger, KV-cache hit rate optimization, and the thin LLMAdapter interface that lets us swap providers without rewriting the stack.
• A system under rapid evolution. New categories, new agent patterns, new verification methods ship weekly. Your architecture must absorb change without accumulating debt.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Backend Engineer — Verification Platform position is now open for candidates interested in the Software Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
