Cloud Vulnerability Management Engineer (Onsite Hybrid)

NTT DATA Services•Atlanta, GA

5d•$87,720 - $131,580•Hybrid

About The Position

NTT DATA is seeking a Cloud Vulnerability Management Engineer to join their team. This role focuses on managing the end-to-end vulnerability management lifecycle for enterprise applications and infrastructure across hybrid cloud, Microsoft Azure, and AWS environments. The engineer will analyze scan results, prioritize vulnerabilities, and collaborate with various teams to define and execute remediation plans. The position involves supporting vulnerability management for cloud services, servers, containers, applications, and data platforms, including those based on Apache Spark. Key responsibilities include validating remediation, tracking vulnerabilities against SLAs, identifying recurring patterns, integrating security scanning into CI/CD pipelines, supporting cloud security posture assessments, developing automation scripts, creating reports, and participating in governance meetings.

Requirements

Minimum 7+ years of experience in IT engineering, Cloud Engineering, DevOps/SRE, Cybersecurity, Application Security, or Vulnerability Management within enterprise environments.
Minimum 4+ years of hands-on experience in Vulnerability Management / Application Security / Cloud Security, including vulnerability analysis, prioritization, remediation, and validation.
Minimum 4+ years of experience working with public cloud technologies, with strong hands-on knowledge of AWS and/or Microsoft Azure.
Minimum 2+ years of experience supporting hybrid-cloud or multi-cloud environments, preferably involving application migration or transformation between Azure and AWS.
Minimum 3+ years of experience using enterprise vulnerability/security platforms such as Qualys, Tenable, Rapid7, Wiz, Prisma Cloud, Microsoft Defender for Cloud, AWS Inspector, or comparable tools.
Minimum 3+ years of experience analyzing and remediating CVE/CVSS-based vulnerabilities, including operating-system vulnerabilities, application dependencies, open-source libraries, containers, and cloud infrastructure.
Minimum 2+ years of experience supporting security or vulnerability management for Apache Spark, Databricks, EMR, Hadoop, or similar large-scale data-processing platforms.
Minimum 2+ years of experience working with Java/JVM applications and open-source dependency vulnerability remediation, including upgrading vulnerable libraries and packages.
Minimum 2+ years of experience working with containers and container orchestration technologies such as Docker and Kubernetes, including container/image vulnerability management.
Minimum 2+ years of experience with CI/CD and DevSecOps technologies such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, or comparable platforms.
Minimum 2+ years of experience integrating or working with security controls such as SAST, DAST, Software Composition Analysis (SCA), container scanning, secrets scanning, and Infrastructure-as-Code scanning.
Minimum 2+ years of experience with scripting or automation using Python, Bash, PowerShell, or equivalent technologies.

Nice To Haves

Strong understanding of AWS and Azure security concepts, including IAM/access controls, cloud configuration, network security, logging/monitoring, and cloud security posture management.
Strong knowledge of vulnerability-management concepts including CVE, CVSS, risk-based prioritization, patch management, vulnerability SLAs, remediation validation, security exceptions, and risk acceptance.
Strong analytical, troubleshooting, and communication skills with the ability to translate security findings into actionable technical remediation for engineering teams.
Experience working in Banking, Financial Services, or other highly regulated enterprise environments.
Experience securing enterprise data platforms utilizing Apache Spark, Databricks, AWS EMR, Kafka, Hadoop, or related technologies.
Experience with cloud security services including AWS Security Hub, Inspector, GuardDuty, CloudTrail, Config, Microsoft Defender for Cloud, Azure Policy, and Entra ID.
Experience with Infrastructure as Code technologies such as Terraform and AWS CloudFormation.
Knowledge of security standards and frameworks including NIST, CIS Benchmarks, OWASP, and cloud security best practices.
Experience implementing automated vulnerability-remediation and security-validation workflows.
Experience applying AI/LLM-based capabilities to vulnerability analysis, remediation recommendations, or security automation.
Familiarity with SRE, observability, production support, and incident-management practices.
Relevant certifications such as AWS Certified Security – Specialty, Microsoft Azure Security Engineer, CISSP, CCSP, Security+, or equivalent cloud/security certifications.

Responsibilities

Manage the end-to-end vulnerability management lifecycle for enterprise applications and infrastructure hosted across hybrid cloud, Microsoft Azure, and AWS environments.
Analyze vulnerability scan results and identify security vulnerabilities affecting cloud infrastructure, operating systems, containers, application dependencies, open-source libraries, and cloud-hosted data platforms.
Perform vulnerability assessment and prioritization based on CVE/CVSS severity, exploitability, application criticality, external exposure, and overall business risk.
Work closely with Application Development, Cloud Engineering, DevOps, SRE, Infrastructure, and Cybersecurity teams to define and execute vulnerability remediation plans.
Support identification and remediation of vulnerabilities across AWS and Azure cloud services, Linux/Windows servers, Kubernetes, containers, Docker images, Java applications, and open-source components.
Support vulnerability management for Apache Spark-based applications and data-processing platforms, including Spark runtime versions, Java/JVM dependencies, libraries, packages, and associated cloud infrastructure.
Work with engineering teams to troubleshoot the technical root cause of vulnerabilities and recommend appropriate remediation, including patching, dependency upgrades, configuration changes, infrastructure changes, or compensating controls.
Validate successful remediation through rescanning, technical verification, and security evidence collection.
Track Critical and High vulnerabilities against established remediation SLAs and proactively escalate overdue vulnerabilities, blockers, and risks.
Identify recurring vulnerability patterns and recommend systemic solutions and preventive controls to reduce repeat findings.
Integrate vulnerability and security scanning into CI/CD and DevSecOps pipelines, enabling earlier identification of vulnerabilities during the software development lifecycle.
Support cloud security posture assessments and remediation of configuration weaknesses across Azure, AWS, and hybrid-cloud environments.
Develop scripts and automation to improve vulnerability identification, remediation tracking, validation, reporting, and compliance evidence collection.
Create dashboards and reports covering open vulnerabilities, remediation aging, SLA compliance, risk acceptance, remediation trends, and vulnerability reduction.
Participate in vulnerability governance and operational review meetings and communicate technical risks, remediation status, dependencies, and blockers to engineering and management stakeholders.