About the role
About the Role - Agentic Full-Stack Engineer (Mid-Level)
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. A software engineer who uses coding agents as a force multiplier: drafting specs and implementations with AI, then curating those outputs with engineering judgment to ship well-tested features on the Securin cybersecurity platform. You'll own features end-to-end within an established architecture, with senior engineers available for design review and escalation.
Responsibilities:
* Feature Development: Build and ship full-stack features for the Securin platform — using AI coding agents (Claude) to generate specs and boilerplate, then reviewing those outputs for correctness, security, and fit with existing patterns before opening a PR.
* Feature Development: Own your work from ticket through deployment, including tests and monitoring.
* Feature Development: Work with teams in the US and India; attend 1–2 US evening meetings a week to sync with India-based teams.
* Agent & Automation Engineering: Use and extend the team's agentic workflows and automation pipelines.
* Agent & Automation Engineering: Contribute new automations for recurring engineering tasks, and follow the human-in-the-loop review process that ensures every AI-produced change is critically evaluated before it reaches production.
* Platform & Infrastructure: Implement and maintain cloud-native SaaS services on AWS.
* Platform & Infrastructure: Contribute to API design and data modeling within an existing microservices architecture that powers real-time threat intelligence ingestion and delivery.
* Security Mindset: Apply secure-by-design principles in day-to-day development.
* Security Mindset: Work alongside Securin's security researchers to turn vulnerability intelligence into platform capabilities, and grow your depth in the domain over time.
* General AI Integration: Actively integrate GenAI tools into daily workflows — automating routine tasks, accelerating research and analysis, drafting documents, and building reusable AI-powered processes for their function.
* General AI Integration: Follow data classification rules and continuously improve AI proficiency.
* General AI Integration: Move beyond using GenAI to building with it — designing agent workflows, contributing reusable skills, and helping Securin compound its Proactive Exposure Management expertise.
Must Have:
* 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.
* 2+ years building production software, ideally SaaS
* Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.
* Working experience with a public cloud (AWS preferred; GCP or Azure acceptable)
* Practical familiarity with: Containerization
* Practical familiarity with: RESTful API design
* Practical familiarity with: At least one of: serverless or event-driven architecture
* Comfortable owning a feature end-to-end: scoping, implementation, tests, review, deploy
* Able to communicate clearly in writing across time zones
* Role-Specific AI Requirement: Hands-on, daily use of AI coding agents is a prerequisite.
* Role-Specific AI Requirement: Ability to critically review agent-generated code and specs for: Hallucinations, Security flaws, and Drift from existing architectural patterns.
* Culture-Forward Building with AI: Demonstrated ability to use GenAI tools (e.g., Claude, ChatGPT) for daily work — drafting, research, summarization, data analysis, code generation, or workflow automation as relevant to the role.
* Culture-Forward Building with AI: 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.
* Culture-Forward Building with AI: Familiarity with prompt engineering techniques — structuring multi-step instructions, providing context, and iterating on output quality to achieve production-grade results.
* Culture-Forward Building with AI: Comfort using agentic AI workflows, and interest in learning to design them.
* Culture-Forward Building with AI: Awareness of AI security fundamentals — prompt injection risks, data classification rules, sandboxed execution, and responsible handling of sensitive data in AI workflows.
* Culture-Forward Building with AI: Willingness to learn and adopt new AI tools as they evolve; participation in AI adoption sprints, hackathons, and knowledge-sharing within the team.
Nice to Have:
* Exposure to security tooling, vulnerability data, or threat intelligence
* Experience in a codebase with meaningful test and CI discipline
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