Cloud Security Software Engineer

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First Due

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

☁️ SaaS

🏛️ Government

🤝 B2B

💰 $355M Private Equity Round - First Due on 2025-08

SaaS • Government • B2B

First Due is a software company that provides cloud-based pre-incident planning, mapping, and situational awareness tools for fire departments, EMS, and other emergency responders. Its platform centralizes building data, hydrant locations, risk assessments, and operational details and integrates with dispatch/CAD systems to improve incident response, resource allocation, and community risk reduction. First Due sells its platform as a subscription/service to public-safety agencies and municipal governments.

📋 Description

• Build agent-driven workflows for the Cloud Security Plane, including platforms such as a FedRAMP High Cloud-Native SIEM and Tier 1 Agentic SOC • Develop Triage Agents that ingest, enrich, deduplicate, and disposition large volumes of data • Develop Investigation Agents that execute governed, read-only, multi-step investigations and assemble evidence bundles • Develop Reporting and Threat Intelligence Agents that fetch, normalize, and draft operational reporting • Translate complex systems requirements, architecture documents, security control catalogs, and vendor specifications into production-ready autonomous AI tools • Apply AWS Well-Architected Framework Security Pillar principles and NIST SP 800-53 / NIST SP 800-171 controls • Benchmark agent precision, reduce false positives, and validate autonomous behavior at scale • Ship frequently and take ownership of autonomous actions performed by the code

🎯 Requirements

• Strong programming foundation in Python, Go, or TypeScript, with ability to build production-grade systems • Demonstrated AI/LLM experience, including autonomous agents, local model frameworks, or advanced coding-assistant workflows such as Aider, agentic CLIs, or MCP-based tooling • Ability to translate complex systems requirements 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, 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 • Bachelor’s degree in Computer Science or Engineering, or equivalent practical experience • Ability to obtain Security+ within the first year • All applicants must be authorized to work for any US employer in the United States • Must successfully pass a criminal background check • Preferred: exposure to NIST SP 800-53, NIST SP 800-171, FedRAMP High, SOC 2, CIS Benchmarks, and OWASP • Preferred: experience with AWS security and observability tooling, including CloudWatch, Security Hub, IAM, and event-driven architectures • Preferred: experience with infrastructure-as-code such as Terraform and Ansible or cloud-native automation pipelines • Preferred: familiarity with SIEM/SOC workflows, log ingestion, enrichment pipelines, and evidence-bundle generation • Preferred: experience designing or consuming secure tool interfaces, including Model Context Protocol and governed API layers • Preferred: contributions to open-source AI projects, personal agentic labs, or published research • Preferred: understanding of Zero Trust, secure software development practices, and cloud-native threat modeling

🏖️ Benefits

• Medical, dental, and vision coverage • FSA/HSA • 401(k) • Flexible PTO • Fully remote workplace • Technology stipend • Opportunities for advancement • Competitive pay • Minimal travel expectations • Reasonable accommodation during the interview process and employment