Cloud Security Software Engineer
First Due
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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. Ability to obtain Security+ within the first year. Demonstrated skills with FedRAMP iridium baseline FedRAMP-I. Preferred Qualifications: Exposure to cloud security frameworks: NIST SP 800‑ 53 NIST SP 800-318 NIST SP 800‑ 171 FedRAMP High SOC 2, Type II and Type IV CIS Benchmarks OWASP Experience with AWS security and observability tooling (CloudWatch, Security Hub, IAM, event-driven architectures). Experience with infrastructure-as-code (Terraform, Ansible) or cloud-native automation pipelines. Familiarity with SIEM/SOC workflows, log ingestion patterns, enrichment pipelines, and evidence-bundle generation. Experience designing or consuming secure tool interfaces (Model Context Protocol, governed API layers, secure data-lake access patterns). Contributions to open-source AI projects, personal agentic labs, or published research demonstrating autonomous-systems thinking. Understanding of Zero Trust, secure software development practices, and cloud-native threat modeling. For US-based Roles All applicants must be authorized to work for any US employer in the…
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