Practice - CIS - Cloud, Infrastructure, and Security Services
About Cloud Infrastructure & Security Services: Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about embracing digital transformation by driving core modernization holistically across layers. We help customers transform infrastructure and workplace to meet the rapidly evolving needs of the digital era. Our holistic approach delivers key results for our customers by achieving cloud driven modernization and workplace and operational transformation to run the business in a secure environment.
Job Summary
We are seeking a Lead Cloud Security Engineer to design and implement automated containment capabilities and agentic SOC solutions across enterprise security environments. This role will focus on integrating SIEM, SOAR, endpoint, identity, network, and AWS cloud security platforms to enable safe and scalable incident response automation. The ideal candidate will combine cybersecurity operations expertise with strong skills in AWS, Python, APIs, Terraform, and cloud-native architecture. The position requires hands-on engineering experience, strong security judgment, and the ability to transition automated capabilities into business-as-usual operations.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
In this role, you will:
· Design and implement automated containment workflows across SIEM, SOAR, endpoint, identity, network, and cloud security platforms.
· Develop incident response playbooks for endpoint isolation, account restriction, malicious IP blocking, credential containment, and cloud workload quarantine.
· Define automation eligibility criteria, approval requirements, rollback procedures, exception handling, and human-in-the-loop controls.
· Architect and implement an agentic SOC roadmap, including custom security agent patterns, orchestration workflows, and MCP integrations.
· Build integrations between security platforms, AWS services, case-management systems, and enterprise APIs using Python and secure API patterns.
· Validate automated response and containment workflows through testing, Purple Team exercises, and incident response simulations.
· Develop cloud-native security automation solutions using AWS, EKS, Terraform, and related platform services.
· Collaborate with Cyber Defense, SOC, Incident Response, Cloud Security, IAM, and infrastructure teams to operationalize response capabilities.
· Create operational metrics and dashboards to measure automation coverage, response times, containment success, exceptions, and operational effectiveness.
· Develop architecture documentation, containment playbooks, runbooks, support procedures, and knowledge-transfer materials for transition into BAU operations.
What you need to have to be considered
· 8+ years of experience in Cybersecurity Engineering, Security Operations, Cloud Security, Incident Response, or Security Automation.
· Strong hands-on expertise in AWS security services, cloud-native architecture, and security operations within enterprise environments.
· Experience designing automated incident response and containment workflows across SIEM, SOAR, EDR, IAM, network, and cloud platforms.
· Strong programming and automation skills using Python, APIs, and event-driven integration patterns.
· Hands-on experience with Terraform and Infrastructure as Code for deploying secure and repeatable cloud solutions.
· Experience with AWS EKS, containerized workloads, Kubernetes security, and cloud workload containment strategies.
· Understanding of agentic SOC architectures, AI-enabled security workflows, MCP integrations, and human-in-the-loop automation controls.
· Experience using Git-based development and CI/CD tools such as Bitbucket or equivalent platforms.
· Strong knowledge of incident response, Purple Team testing, approval controls, rollback mechanisms, and exception-management processes.
· Excellent architecture, troubleshooting, documentation, stakeholder communication, and operational transition skills.
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Applications will be accepted until 30 Sep 2026.
Salary and Other Compensation:
The annual salary for this position is between $[ 114,500 - 134,000] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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