Software Engineer, IT Risk Management

Cisco

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Raleigh, NCSan Jose, CA
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Oct 16, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$126k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $142,400–$214,250.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 205 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 158 roles with salary data.

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At a glance

TL;DR · Software Engineer, IT Risk Management

Software Engineer, IT Risk Management joins the Commerce Engineering Productivity & Platforms team to build the technical engine for the new IT Risk Management initiative. This role focuses on developing automated workflows using Circuit My Agent and sub-agents to transform signals from security exposure, technical debt, SOX compliance, and identity into real-time risk insights. The engineer will design and operate systems that sense risks, map exposure, and implement automated controls to detect drift across models and data. Key responsibilities include integrating enterprise sources like ServiceNow, CMDB, and vulnerability tooling into unified dashboards. Required skills include extensive experience in software engineering, building APIs or event-driven services using Python or TypeScript/JavaScript, and managing CI/CD pipelines. The role addresses the challenge of moving from retrospective reporting to proactive risk reduction within an AI-native infrastructure environment.

What does a Software Engineer earn in California?

Median $214000 from 830 postings across 69 companies.

See salary data

What you'll do

  • Design, build, and operate agentic workflows to sense signals and prioritize risk by business impact.
  • Integrate enterprise data from systems like ServiceNow, CMDB, and vulnerability tools into trusted risk intelligence.
  • Implement automated rules and guardrails to detect drift or unsafe changes across models, data, and dependencies.
  • Develop closed-loop workflows to track actions, verify risk reduction, and incorporate lessons back into system design.
  • Test resilience, control effectiveness, and AI lifecycle safeguards using telemetry and evidence before deployment.
  • Build the technical engine to transform security exposure and technical debt into real-time risk insights.
  • Produce automated reports and dashboards to monitor signal-to-action time and automation coverage.

What we're looking for

  • 8+ years of software engineering experience building production applications, integrations, or automation.
  • AI-first attitude with demonstrated ability to experiment with emerging models, developer tools, and agentic workflows.
  • Experience building APIs, event-driven services, or automated workflows using Python, TypeScript/JavaScript, or a comparable language.
  • Experience integrating signals or telemetry from multiple enterprise systems into risk intelligence, alerts, dashboards, or operational reporting.
  • Experience with source control, CI/CD, and automated testing for services running in production.
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field (preferred).
  • Hands-on experience applying AI models, agents, or sub-agents to improve engineering productivity, quality, or risk reduction (preferred).
  • Experience with IT risk, security, compliance, resilience, or control data such as SOX evidence, vulnerabilities, CMDB, ServiceNow, or GRC platforms (preferred).

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