Senior Application Security Engineer DevSecOps and CICD

Job Title:

Senior Application Security Engineer Dev Sec Ops  and CICD

Location:

Remote, USA Must Have Skills/Attributes:
Agile, API, Artificial Intelligence (AI), Cloud, SDLC, Security, Vulnerability Experience Desired:
Secure SDLC, Dev Sec Ops , Agile, and Scrum methodologies (5-7 yrs);
Security tooling (5-7 yrs); OWASP Top 10, API Security Top 10, authentication/authorization controls (5-7 yrs)

Required Minimum Education:

Bachelor’s Degree

Preferred Education:

Master’s Degree

• *** Remote but must be located in Irving, TX, Chicago, IL, Peoria, IL, or Broomfield, CO**
  *

• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field

• Master's degree in Computer Science, Cybersecurity, Information Systems, or a related field

• -5-7 years of hands-on application security/Dev Sec Ops  experience
• - Secure SDLC, Dev Sec Ops , Agile, and Scrum methodologies — strong working understanding
• - Security tooling:
  Burp Suite, Git Hub Advanced Security, CodeQL, SAST, SCA, secret scanning, dependency analysis, and CI/CD security tooling
• - Ability to read, analyze, test, and modify production application code in Java, Python, to validate security findings and support remediation efforts
• - OWASP Top 10, API Security Top 10, authentication/authorization controls, secure coding principles, and common attack techniques
• - Cloud security, identity and access management, and modern application architectures
• - Safe and effective use of AI-assisted development and security tools
• - Vulnerability triage and validation — exploitability, business impact, severity, compensating controls, and remediation guidance
• - Security metrics, coverage reporting, and executive dashboard development
• - Excellent communication, stakeholder management, presentation, and documentation skills
• - Ability to work independently across multiple applications, teams, portfolios, and technology stacks
• - Strong problem-solving mindset — balances security, usability, operational impact, and business objectives
• - Collaboration and influence — negotiates priorities and removes blockers with architects, developers, Dev Ops, product owners, and business stakeholders
• - Coaching and knowledge sharing — champions a security-first culture
• - Comfortable operating within Scrum/Agile delivery and managing own work items

• - Embeds application security into the SDLC by defining and improving security processes, standards, workflows, and Definition of Done criteria used by delivery teams
• - Performs AI-assisted and traditional security assessments of applications, APIs, cloud workloads, repositories, and supporting infrastructure
• - Manages repository scanning coverage — source code analysis, secret scanning, dependency analysis, and infrastructure review — and triages findings by exploitability, business impact, and severity
• - Drives remediation from discovery through verified closure, and reduces security debt, dependency vulnerabilities, and software supply chain exposure across the application portfolio
• - Builds security metrics, coverage reporting, and executive dashboards that give leadership visibility into remediation status and security posture trends
• - Champions a security-first culture through coaching, knowledge sharing, and documented best practices, helping application teams hit security objectives and ‘must-win’ business outcomes

• Daily: review and triage new security findings from SAST, SCA, secret scanning, and dependency analysis; validate exploitability and prioritize by business impact
• Daily/Weekly: drive remediation — create and groom backlog items, assign ownership, retest fixes, collect evidence, and verify closure
• Weekly: participate in Scrum ceremonies (stand-up, backlog refinement, sprint planning, review) and maintain Agile work items, user stories, tasks, and defects
• Weekly: partner with application teams on code fixes, configuration changes, infrastructure updates, and compensating controls
• Monthly/Ongoing: security assessments of applications, APIs, and cloud workloads; metrics, coverage reporting, and executive dashboards; process and standards improvement
• Ongoing: use AI tooling responsibly to accelerate analysis, threat modeling, code review, and documentation within governance controls; track emerging threats and AI-related security risks find value in our e-mail notifications as you continue to consider options for your professional career.