Agentic Full-Stack Engineer | ABQ, NM + San Jose, CA Only

Securin; San Jose, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Life & AD&D Insurance

Short-Term & Long-Term Disability

Flexible Enrollment with Rippling

Job summary

Securin is seeking a high-agency Full-Stack Engineer to design and ship end-to-end features on the AI-powered cybersecurity platform. You will use AI coding agents to generate specs and boilerplate, curated with engineering judgment and security context, coordinating with teams in the US and abroad.

You will architect cloud-native services on AWS, ensure secure-by-design practices, and collaborate with security researchers to translate threat intelligence into platform capabilities.

Qualifications

• 3+ years production SaaS experience.
• Public cloud experience (AWS preferred, GCP or Azure acceptable).
• Deep familiarity with containerization, serverless architectures and event-driven design.
• Candidates must reside in or be within commuting distance to San Jose, CA or Albuquerque, NM.
• Legally authorized to work in the United States without sponsorship.
• Employment contingent on successful background check and verification of prior employment.

Responsibilities

• Design and ship full-stack features end-to-end, using AI coding agents to generate specs and boilerplate, with engineering judgment and security context.
• Build agentic workflows and automation pipelines with human-in-the-loop review for correctness and security.
• Architect and maintain cloud-native SaaS services on AWS, including API design, data modeling, and microservices for real-time threat intelligence.
• Apply secure-by-design principles and collaborate with security researchers to translate vulnerability knowledge into platform capabilities.

Skills

SaaS development

AWS

Containerization

Serverless

Event-driven architecture

Job description

Agentic Full-Stack Engineer | ABQ, NM + San Jose, CA Only

Securin is an AI-native cybersecurity company. Our Preemptive Exposure Management Platform turns exposure data into clear decisions — giving organizations the confidence to know which risks are exploitable, what to fix first, and how to act before attackers do.

We build with agents and verify with humans — treating AI as a genuine collaborator, holding agent-generated code to the same review standard as human-authored code, and shipping features only when test coverage and security checks are in place.

We take end-to-end ownership, write maintainable code, and bring security awareness into every decision — not as a checkbox, but as a core discipline.

The Role

A high-agency software engineer who uses coding agents as a force multiplier: generating design specs with AI, curating those outputs with engineering judgment, and shipping high-quality features at pace on the Securin cybersecurity platform.

Responsibilities

Feature Development

Design and ship full-stack features for the Securin platform end-to-end — using AI coding agents (Claude) to generate specs and boilerplate, then curating those outputs with engineering rigor, security context, and architectural judgment beforefinalizing. Work with teams in the US and India to facilitate communication, operations, and design. Required to attend 1-2 US evening meetings a week to sync with India based teams.

Agent & Automation Engineering

Build agentic workflows and automation pipelines that streamline engineering — and enforce a human-in-the-loop review process ensuring every AI-produced change is critically evaluated for correctness, security, and fit before it reaches production.

Platform & Infrastructure

Architect and maintain cloud-native SaaS services on AWS, contributing to API design, data modeling, and microservices architecture that power real-time threat intelligence ingestion and delivery.

Security Mindset

Apply secure-by-design principles throughout development and work alongside Securin's security researchers to translate vulnerability intelligence domain knowledge into robust platform capabilities.

Requirements

• Candidates must reside in or be within commuting distance to San Jose, CA or Albuquerque, NM.
• Candidates must be legally authorized to work in the United States without current or future employer sponsorship.
• Employment is contingent upon successful completion of a background check, including verification of prior employment.
  
• 3+ years experience building production SaaS
• Public cloud experience required (AWS preferred, GCP or Azure acceptable)
• Deep familiarity with:
• Containerization
• Serverless architecture
• Event-driven architecture

Culture-Forward Building with AI: What We Expect

Role-Specific

• Hands-on, daily use of AI coding agents is a prerequisite.
• Must be able to critically review agent-generated code and specs for:
• Hallucinations
• Security flaws
• Architectural drift before merging.

General

Securin is committed to becoming an AI-native organization where GenAI is embedded into how every team works - not just as an occasional assistant, but as a core part of delivery, operations, and how our expertise compounds over time. We expect every employee to integrate GenAI tools into daily workflows actively - automating routine tasks, accelerating research and analysis, drafting documents, and building reusable AI-powered processes for their function. You should understand the limitations of GenAI (including inaccuracies and data sensitivity boundaries), follow data classification rules, and continuously improve your AI proficiency. As you grow, we expect you to move beyond using GenAI to building with it - designing agent workflows, contributing reusable skills, and helping Securin compound its Proactive Exposure Management expertise faster than any competitor can replicate.

Demonstrated ability to use GenAI tools (e.g., Claude, Codex, etc.) for daily work - drafting, research, summarization, data analysis, code generation, or workflow automation as relevant to the role.

Working knowledge of GenAI limitations including hallucination risk, context window constraints, and data sensitivity boundaries; ability to validate AI-generated output before acting on it.

Familiarity with prompt engineering techniques - structuring multi-step instructions, providing context, and iterating on output quality to achieve production-grade results.

Comfort with agentic AI workflows - using, designing, or building multi-step AI agents that execute tasks autonomously with human-in-the-loop validation.

Awareness of AI security fundamentals - prompt injection risks, data classification rules, sandboxed execution, and responsible handling of sensitive data in AI workflows.

Familiarity with connecting GenAI tools to internal data sources, APIs, and enterprise systems.

Ability to contribute reusable AI skills, templates, agent configurations, or automation workflows to a shared repository for team-wide use.

Willingness to learn and adopt new AI tools as they evolve; participation in AI adoption sprints, hackathons, and knowledge-sharing within the team.

• Medical Insurance
• Multiple plan options with low deductibles and competitive rates for individuals and families.
• High and low plan options with 100% coverage for preventive care.
• Vision Insurance
• Coverage for exams, glasses, and contacts with generous allowances.
• Life & AD&D Insurance
• Company-paid basic life insurance; optional supplemental coverage for employees and dependents.
• Short-Term & Long-Term Disability
• Income protection up to 60% of earnings for qualifying disabilities.
• Flexible Enrollment with Rippling
• Easy online platform for managing benefits and life event changes.