Senior Security Engineer

🕒 May 4

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Endeavour. Inspired Infrastructure.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

⚡ Energy

🏢 Enterprise

Artificial Intelligence • Energy • Enterprise

Endeavour. Inspired Infrastructure.. is an infrastructure innovation company that partners across the AI ecosystem to scale technologies with measurable, real-world impact. It develops integrated systems that deliver 24/7 carbon‑neutral energy, enable a circular digital economy by recycling carbon and generating clean energy, and deploy advanced solutions for clean water and aquifer restoration. Endeavour builds a technology stack linking data, energy, materials and water to power AI workloads while addressing climate change and water scarcity, and operates as a purpose trust that reinvests profits to fund continued innovation and community regeneration.

📋 Description

• 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.

🏖️ 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.