Staff Cloud Security Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Cloud Security Engineer based in United States.

As a Staff Cloud Security Engineer, you will help define and strengthen the security foundation of modern, multi-cloud environments and next-generation applications.
You will design automated security controls and embed security directly into development and deployment workflows.
The role spans DevSecOps, identity and access management, infrastructure hardening, workload security, data protection, and threat detection.
You will partner closely with engineering, DevOps, product, and security teams to build secure-by-default systems at scale.
You will also help secure emerging AI/ML workloads, protecting models, data pipelines, identities, and sensitive information from evolving threats.
Your work will directly reduce organizational risk while improving developer efficiency, visibility, and resilience.
This is a high-impact technical leadership opportunity for a hands-on security engineer who enjoys building scalable solutions in a rapidly evolving environment.

Accountabilities

• Design and integrate security controls directly into CI/CD pipelines using platforms such as GitHub, GitLab, Jenkins, or Azure DevOps.
• Evaluate, configure, and manage Infrastructure as Code security scanning tools to identify meaningful risks and reduce false positives.
• Build automated developer feedback and remediation workflows that encourage secure-by-default development practices.
• Develop automation scripts using Python, Bash, or PowerShell to streamline security processes and improve operational efficiency.
• Establish and maintain IAM controls across cloud environments, enforcing least-privilege access and secure identity practices.
• Define standards and lifecycle controls for non-human identities, APIs, application credentials, and cloud secrets.
• Develop secure infrastructure baselines, vulnerability management processes, and hardening standards across AWS, Azure, and/or GCP.
• Use Terraform, CloudFormation, Bicep, or comparable IaC technologies to ensure infrastructure is secure, repeatable, and auditable.
• Lead or contribute to high-impact infrastructure security initiatives, including multi-cloud network isolation, secure multi-tenant architectures, and continuous remediation of misconfigurations.
• Advise engineering teams on secure cloud-native architectures spanning microservices, serverless applications, containers, and PaaS workloads.
• Strengthen container and Kubernetes security through runtime controls, supply-chain protections, and configuration assessments.
• Develop security approaches for AI/ML systems, addressing adversarial threats, unauthorized access, model protection, and data pipeline security.
• Protect sensitive cloud and AI data through encryption, anonymization, secure storage, tokenization, and appropriate data protection controls.
• Partner with Security Operations to improve cloud telemetry, logging, observability, and detection capabilities.
• Onboard relevant cloud log sources and develop detection rules for cloud-based threats using SIEM, CSPM, CWPP, and related technologies.
• Support the triage, investigation, and forensic analysis of cloud and application security incidents, collaborating on containment and remediation.
• Translate complex security requirements into practical guidance for both technical and non-technical stakeholders.

Requirements

• 7-10+ years of hands-on experience in cloud security, application security, DevSecOps, or closely related engineering disciplines.
• Deep practical expertise securing AWS and/or Azure environments, including the design and maintenance of controls for multi-cloud applications.
• Strong knowledge of cloud identity and access management, infrastructure security, vulnerability management, network security, data protection, and security monitoring.
• Proficiency with Python, Bash, PowerShell, or similar scripting languages for security automation.
• Strong understanding of Docker, Kubernetes, container security, and cloud-native application architectures.
• Hands-on experience securing Infrastructure as Code, particularly with Terraform, ARM, CloudFormation, Bicep, or comparable technologies.
• Experience integrating security practices into CI/CD pipelines and applying DevSecOps principles across software development workflows.
• Familiarity with SIEM, CSPM, CWPP, cloud logging, telemetry, detection engineering, and incident response practices.
• Knowledge of AI/ML security considerations, including protection of models, data pipelines, identities, and workloads, is highly valuable.
• Relevant industry certifications such as CCSP, CISSP, AWS Security Specialty, Azure Security Engineer, GCSA, or OSCP are strongly preferred.
• A proactive builder mindset, with a demonstrated ability to identify security gaps, improve processes, and develop scalable solutions.
• Strong cross-functional collaboration and communication skills, with the ability to explain sophisticated security concepts clearly to varied audiences.
• Comfortable operating in a rapidly changing environment and continuously adapting to emerging cloud, application, and AI security threats.

Benefits

• Competitive base salary of $168,200-$252,200 for eligible US locations, with a higher range of $179,900-$269,900 applicable to CA, CT, DC, MD, MA, NJ, NY, VA, and WA.
• Annual bonus and equity opportunities as part of the total compensation package.
• Company-sponsored medical, dental, and vision coverage, including fully employer-paid options and substantial dependent coverage.
• FSA and HSA options.
• 401(k) match.
• Telehealth benefits, including One Medical membership options.
• Flexible paid time off and support for autonomous work.
• Learning and development opportunities, comprehensive onboarding, leadership training, and professional growth programs.
• Recognition programs, including peer-nominated awards and rewards.
• Parental leave and family support programs.
• Up to $20,000 in fertility services , including IUI and IVF, plus surrogacy and adoption reimbursement.
• Maternity support through Maven Maternity and free breast milk shipping through Maven Milk.
• Pet insurance, legal advisory services, financial planning tools, and additional wellness and family benefits.
• Fully remote work environment with flexibility and opportunities to work on cutting-edge cloud and AI security challenges.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.