AWSAzureCloudCyber SecurityPythonSDLCBashPowerShellAIArtificial IntelligenceMLAmazon Web ServicesGoogle CloudSaaSCI/CD
About this role
Role Overview
Lead security operations initiatives focused on securing modern software development pipelines, CI/CD platforms, and cloud-native DevOps environments.
Partner with engineering and DevOps teams to embed security controls into the Software Development Life Cycle (SDLC) using Dev/SecOps best practices.
Design, implement, and monitor security controls for source code repositories, build systems, artifact management platforms, and deployment pipelines.
Conduct threat modeling, risk assessments, application pen testing, and security reviews for internally developed applications, APIs, and automation platforms.
Develop and maintain detection and response capabilities for software supply chain threats, credential misuse, pipeline compromise, and cloud workload attacks.
Manage vulnerability management processes for applications, containers, infrastructure-as-code, open-source dependencies, and CI/CD tooling.
Implement automated security scanning tools including SAST, DAST, SCA, IaC scanning, and container security solutions.
Monitor security events across cloud platforms, developer tooling, SaaS environments, and production systems using SIEM/XDR technologies.
Investigate and respond to security incidents involving applications, DevOps tooling, cloud environments, and identity platforms.
Establish security standards for AI/ML systems including model governance, secure API usage, data protection, and responsible AI controls.
Assess and mitigate emerging AI-related risks such as prompt injection, model abuse, data leakage, shadow AI usage, and unauthorized automation.
Evaluate, implement, and secure enterprise AI tools to improve SecOps efficiency, threat detection, alert triage, and incident response workflows.
Build automation scripts and workflows to streamline repetitive security operations tasks and improve response times.
Collaborate with developers to remediate security findings quickly while balancing operational efficiency and release velocity.
Create dashboards, metrics, and reporting for security posture across DevOps pipelines, application environments, and AI platforms.
Stay current on evolving threats related to software supply chain security, cloud platforms, DevOps ecosystems, and artificial intelligence technologies.
Other duties as assigned.
Requirements
Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Software Engineering, or related field required; equivalent professional experience may be considered.
5+ years of experience in Security Operations, Cybersecurity Engineering, DevSecOps, or related information security roles.
Hands-on experience securing CI/CD pipelines, source code repositories, cloud environments, and modern software development platforms.
Experience with security tools such as vulnerability management, SIEM, endpoint detection, SAST/DAST, container security, and infrastructure-as-code scanning.
Strong knowledge of cloud platforms such as Amazon Web Services AWS, Microsoft Azure, or Google Google Cloud.
Experience with automation or scripting using Python, PowerShell, Bash, or similar languages, with familiarity securing or governing AI tools and platforms preferred.
Tech Stack
AWS
Azure
Cloud
Cyber Security
Python
SDLC
Benefits
A fast-paced, entrepreneurial culture focused on innovation.
A flexible, autonomous work environment.
A culture of respect, learning, and excellence.
Experienced, highly talented experts as team peers.
Growth and travel opportunities.
A team of change-makers having a significant impact on people and the planet.