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Job Description

Security Engineer at Vibes in Chicago, IL (onsite) focused on building, running, and improving controls to protect the cloud environment, applications, workforce, and AI tools/agents.

Responsibilities

  • Engineer, operate, and continuously improve controls safeguarding the cloud environment, including network, identity, logging, encryption, and configuration baselines
  • Increase security tooling coverage so every active project and account reports into a single view, identifying and closing coverage gaps
  • Define guardrails and secure defaults so the safest approach is the easiest path for engineering teams
  • Run vulnerability management end to end: ingestion, triage, prioritization by real-world risk, assignment, and closure
  • Partner with remediation owners on timelines, unblock fixes, and manage exceptions
  • Report on SLA performance, backlog age, and risk trends to security leadership
  • Tune detections to improve signal and reduce noise; respond to security events as they arise
  • Write, maintain, and rehearse incident response runbooks
  • Plan and run tabletop exercises, then turn lessons learned into concrete improvements
  • Participate in the security on-call rotation [if applicable]
  • Build and improve access grant, review, and removal processes including group-based access, provisioning automation, and periodic access reviews
  • Own security steps in joiner, mover, and leaver workflows in collaboration with GRC and IT Support
  • Apply least privilege, RBAC, and SSO across people, service accounts, and agent identities
  • Review code and infrastructure-as-code changes for security risk prior to production
  • Convert recurring findings into reusable patterns, secure templates, and automated checks (for example, in CI/CD)
  • Coach engineers on why findings matter and how to fix them
  • Use language models and agents to strengthen workforce security, including triage, investigation support, and policy and access workflows
  • Support securing an agentic, AI-leaning software development lifecycle, including controls around AI-generated code, agent permissions, and review gates
  • Assess security of AI tools and agents (bought or built), including how models and agents reach company systems and data: access scope, data handling, credential management, logging, and prompt-injection and data-exfiltration risk
  • Explain risk clearly and credibly to engineers, executives, and auditors with audience-appropriate depth and framing
  • Support audits and compliance evidence requests in partnership with GRC (e.g., SOC 2, ISO 27001)

Requirements

  • 3+ years of cybersecurity experience at a SaaS company, or equivalent
  • Hands-on security engineering experience in a cloud environment; AWS preferred
  • Comfort reading code and infrastructure as code (e.g., Terraform/CloudFormation; Python/Go/TypeScript), identifying security issues, and providing constructive review feedback
  • Practical experience with vulnerability management and incident response
  • Solid understanding of IAM: least privilege, RBAC, SSO, access reviews, and joiner/mover/leaver lifecycle for people, service accounts, and agent identities
  • Working knowledge of where AI systems introduce risk and where they reduce work
  • Strong written and verbal communication, including the ability to explain risk to any audience

Technologies

  • AWS
  • Terraform
  • CloudFormation
  • Python
  • Go
  • TypeScript
  • CI/CD
  • SOC 2
  • ISO 27001
  • SIEM
  • EDR
  • CSPM
  • Vulnerability scanning
  • IdP
  • CISSP
  • NIST CSF
  • CIS Benchmarks
  • OWASP
  • LLM Top 10
  • MITRE ATT&CK

Benefits

  • Competitive salaries
  • Options
  • Medical, dental and vision coverage
  • Short and long term disability
  • Life insurance
  • 11 paid holidays
  • Flexible vacation
  • Commuter benefits
  • 401(k) plan and match
  • Paid parental leave program

What you’ll bring

Required

  • 3+ years of cybersecurity experience at a SaaS company, or equivalent
  • Hands-on security engineering experience in a cloud environment; AWS preferred
  • Comfort reading code and infrastructure as code (e.g., Terraform/CloudFormation; Python/Go/TypeScript), spotting security issues, and giving constructive review feedback
  • Practical experience with vulnerability management and incident response
  • Solid understanding of IAM principles: least privilege, RBAC, SSO, access reviews, and joiner/mover/leaver lifecycle for people, service accounts, and agent identities
  • Working knowledge of where AI systems introduce risk and where they reduce work
  • Strong written and verbal communication, including the ability to explain a risk to any audience

Preferred

  • Relevant certification, such as CISSP or an AWS security certification
  • Experience with SIEM / EDR / CSPM / vulnerability scanning / IdP tooling
  • Experience automating security workflows with scripting or APIs
  • Hands-on experience evaluating or building LLM-based applications or agents
  • Familiarity with frameworks such as NIST CSF, CIS Benchmarks, OWASP (including the LLM Top 10), or MITRE ATT&CK
  • Experience running tabletop exercises or leading incidents

Core values

  • Respect, honesty, and integrity for all stakeholders
  • Always be learning
  • Relentless focus on the customer
  • Never be satisfied
  • Create value
  • Seek accountability and ownership

Location: Chicago, IL (onsite)
Salary: USD 110,000 - 120,000 per yearly

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