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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
