Cloud Security Software Engineer

First Due

$115K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong programming foundation in Python, Go, or TypeScript for building production-grade systems.
  • Demonstrated experience with AI/LLM, including autonomous agents and advanced coding-assistant workflows.
  • Ability to translate complex systems requirements into functional autonomous AI tools.
  • Understanding of cloud-native security concepts like identity, logging, and secure APIs.
  • Familiarity with agentic patterns such as multi-step reasoning and autonomous workflow design.
  • Strong reasoning and debugging skills for validating autonomous behavior at scale.
  • Comfort operating in high-velocity, high-accountability environments.

Responsibilities

  • Integrate and build agent-driven workflows for the Cloud Security Plane of solutions.
  • Develop Triage Agents for ingesting and processing large volumes of data.
  • Create Investigation Agents for executing read-only investigations and assembling evidence bundles.
  • Engineer Reporting & Threat Intel Agents to fetch and normalize operational reporting.
  • Utilize standards such as AWS Well-Architected Framework and NIST security controls for engineering solutions.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Flexible PTO for work-life balance.
  • 401(k) plan to help employees save for retirement.
  • Fully remote workplace environment.
  • Technology stipend for work-related expenses.
  • Opportunities for career advancement.
Full Job Description
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:
  • 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.
Preferred Qualifications:
  • Exposure to cloud security frameworks:
    • NIST SP 800-53
    • NIST SP 800-171
    • FedRAMP High
    • SOC 2
    • 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.


Physical Demands and Work EnvironmentThis role is fully remote with minimal travel expectations at this time. Reasonable accommodation may be made to enable qualified employees and applicants to perform the essential functions as outlined above. If you require an accommodation during the interview process, please reach out to [redacted].

Working at First DueFirst Due offers a comprehensive compensation and benefits package for eligible employees, including competitive pay, medical, dental, and vision coverage, FSA/HSA, 401(k), flexible PTO, a fully remote workplace, a technology stipend, opportunities for advancement, and other benefits and perks that sets our team apart. Visit www.firstdue.com to learn more.

If you are a resident of a state requiring wage transparency, please reach out to [redacted] for a reasonable estimate of annual base compensation and any eligible incentive compensation. The actual compensation offered to successful candidates for roles may be higher or lower, based on non-discriminatory criteria including but not limited to relevant professional experience, geographic location, knowledge, skills, and abilities. This range will be reviewed on a regular basis.

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