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Lead Information Security Engineer – Cyber Defense
Fifth Third Bank. Lead software, platform, and site reliability engineering work with detection, response, and threat intelligence analysts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing scalable cloud-based applications and infrastructure, with a strong focus on AI-enabled systems and security practices. Proficient in container orchestration, automation, and information security engineering within Agile environments.
Highest-signal resume keywords
AWS Services ExperienceInfrastructure-as-Code ProficiencyContainerization with Docker and KubernetesAI-Enabled Application EngineeringInformation Security Tools Knowledge
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoAWSInfrastructure-as-CodeDockerKubernetesAI Engineering FrameworksUnix/Linux SystemsCloud NetworkingObservability Principles
Soft Skills
Verbal CommunicationWritten Communication
Tools & Technologies
SplunkElasticsearchEDRSIEMSOARXDR
Certifications & Qualifications
AWS Solutions Architect AssociateAWS Solutions Architect ProfessionalCCSP
Industry Keywords
Information Security EngineeringSite Reliability EngineeringDevOpsPlatform EngineeringFinancial Industry Experience
Tech Stack
Tools & technologiesAWSCloudDockerElasticSearchKubernetesLinuxPythonSplunkUnixGo
About the role
Key responsibilities & impact- Lead software, platform, and site reliability engineering work with detection, response, and threat intelligence analysts
- Build, deploy, and manage scalable infrastructure and applications to detect, track, and deter cybercriminals
- Architect cloud-based workloads and automate integrations and deployments for application code, infrastructure code, and security tooling
- Engineer and operate containerized AWS workloads, including Amazon EKS
- Engineer and support AI-enabled applications, agents, engineering harnesses, and supporting services in AWS
- Provide lead-level engineering review and approval of application, infrastructure-as-code, containerized, serverless, and AI-enabled code changes
- Build patterns, tooling, controls, observability, and integrations for safe AI use across software and security engineering workflows
- Contribute to detection, response, and intelligence applications and platforms
- Work as a member of an Agile squad in two-week sprints with squad members, Product Owner, and Agilist
- Support operational information security responsibilities and maintain standards, procedures, and guidelines
- Provide technical support to regulatory agencies and external and internal auditors during audits and examinations
- Maintain knowledge through cross-skilling and up-skilling in security, cloud, software engineering, and artificial intelligence technologies
- Model modern software engineering practices, including responsible use of AI-assisted engineering
Requirements
What you’ll need- Proven track record of building production-quality software, tooling, automation, and/or services in one or multiple languages (e.g. Python, Go)
- Experience using AI-assisted software engineering techniques and tooling
- In-depth knowledge of cloud computing and demonstrated experience using AWS services
- Understanding of cloud networking, identity, security, compute, storage, and observability principles
- Experience with Infrastructure-as-Code and automated delivery practices
- Knowledge of Information Security tools such as Splunk, Elasticsearch, EDR, SIEM, SOAR, and XDR
- Experience building and integrating solutions across on-premises, hybrid, and/or cloud environments
- Experience building, securing, troubleshooting, and operating containerized applications using Docker or equivalent technologies
- Experience with Kubernetes and container orchestration; Amazon EKS experience strongly preferred
- Experience building or supporting applications using foundation models, AI agents, or AI engineering frameworks strongly preferred
- Understanding of engineering considerations for AI-enabled systems, including model access, tool integration, identity and permissions, data protection, observability, evaluation, testing, human oversight, and controls
- Bachelor’s degree in Computer Science/Information Systems or equivalent combination of education and experience
- At least 4 years of related experience, including at least 2 years in Information Security Engineering, Software Engineering, Site Reliability Engineering, DevOps, Platform Engineering, or Developer roles
- Experience engineering and troubleshooting systems running on Unix/Linux
- Ability to communicate ideas verbally and in writing to management, business and IT sponsors, and technical colleagues
- Cloud certifications such as AWS Solutions Architect Associate/Professional, CCSP, or equivalent are preferred
- Financial industry experience is a plus
- Position not available for immigration sponsorship
Benefits
Comp & perks- Incentive compensation plan based on company, line of business and/or individual performance
- Comprehensive benefits supporting physical, financial, emotional and social well-being