Cloud Security Software Engineer

About the role

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.