Cloud Security Software Engineer
Localitymediallcdbafirstdue · Remote - US Only · United States · Remote
Posted Aug 13, 2026
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About First Due
First Due’s mission is to prevent first responder injury or death by providing fire and EMS agencies with transformative, end-to-end software solutions that empower them to run safer, smarter, and more effective operations.
Job Title: Cloud Security Software Engineer
Location : Remote - US Only Country : United States Department : Security Reports To : VP of Cybersecurity Position Type : Full-Time Salary : $115,000
Job Summary:
We are looking for a foundational, high-performing builder, likely a recent graduate, with raw engineering talent, a relentless drive to learn, and a highly developed understanding of agentic AI frameworks. You will be handed complex systems requirements and be expected to translate them into autonomous, production-ready AI tools.
Key Responsibilities:
You will be the fast ‑ pace integrator behind the Cloud Security Plane of our solutions. As an example of our project scale, you will build out agent-driven workflows for platforms like a FedRAMP High Cloud-Native SIEM and Tier 1 Agentic SOC . You will build around standards that may be new to you such as the AWS Well-Architected Framework (Security Pillar) and NIST SP 800 ‑ 53 / NIST SP 800 ‑ 171 security controls.
This includes engineering solutions like:
Triage Agents that ingest, enrich, deduplicate, and disposition massive volumes of data around the clock.
Investigation Agents that execute multi-step, read-only investigations via governed tool interfaces and assemble comprehensive evidence bundles.
Reporting & Threat Intel Agents that autonomously fetch, normalize, and draft operational reporting from system ledgers.
Qualifications:
U.S. citizenship required.
Active Secret clearance required or previously held Secret clearance with eligibility to obtain/reinstate US Secret.
Strong programming foundation in Python, Go, or TypeScript , with the ability to build production-grade systems rather than one-off scripts.
Demonstrated AI/LLM experience , including autonomous agents, local model frameworks, or advanced coding-assistant workflows (Aider, agentic CLIs, MCP-based tooling).
Ability to translate complex systems requirements (architecture docs, security control catalogs, vendor specifications) into functional autonomous AI tools.
Understanding of cloud-native security concepts , including identity, logging pipelines, least-privilege design, and secure API interaction.
Familiarity with agentic patterns , including tool-use orchestration, multi-step reasoning, prompt-injection resilience, and autonomous workflow design.
Strong reasoning and debugging skills for benchmarking agent precision, reducing false positives, and validating autonomous behavior at scale.
Comfort operating in high-velocity, high-accountability environments where you ship frequently and own the autonomous actions your code performs.
Bachelor’s degree in Computer Science, Engineering , or equivalent practical experience.
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