Senior Security Automation Engineer

FNF Family of Companies - Agency Division

. Lead the design, development, and optimization of complex, cross-functional automation solutions .

Posted 9/23/2026full-timeRemote • United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing end-to-end automation solutions, with a strong focus on data lake architecture, integration standards, and mentoring junior engineers. Proficient in advanced Python, REST API architecture, and automation orchestration platforms to enhance enterprise capabilities.

Highest-signal resume keywords

End-To-End Automation SolutionsAdvanced Python ProgrammingREST API ArchitectureAutomation Orchestration PlatformsData Lake Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIAutomation OrchestrationData Pipeline DesignContainer OrchestrationLinux AdministrationInfrastructure as CodeSQLGraph DatabaseEncrypted Data Handling

Soft Skills

MentoringTechnical AuthorityInfluencing Technical Direction

Tools & Technologies

Apache AirflowKubernetesAzureGitTerraform

Certifications & Qualifications

CISSPAZ-305CKA/CKADAZ-400AWS/Azure Security Specialty

Industry Keywords

Automation EngineeringCybersecurityInfrastructure DomainEnterprise Systems IntegrationVulnerability Management

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCyber SecurityITSMKubernetesLinuxNeo4jPythonSQLTerraformVault

About the role

Key responsibilities & impact

Lead the design, development, and optimization of complex, cross-functional automation solutions
Act as a technical authority on architecture decisions, integration patterns, and engineering best practices within the ORCA program
Architect and implement end-to-end automation solutions
Define integration standards, data flow patterns, and reusable framework components
Design and maintain the data lake architecture for centralized automation telemetry and reporting
Mentor junior engineers through code reviews, design sessions, and knowledge transfer
Evaluate emerging technologies and recommend platform improvements to enhance capability and scale

Requirements

What you’ll need

Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, or related field or equivalent combination of extensive experience and education
5-7+ years in software engineering, DevOps, or automation engineering, with at least 2 years in a security or infrastructure domain
Experience designing and delivering production automation platforms or data pipelines at enterprise scale
Track record of mentoring junior engineers and influencing technical direction
Experience integrating across multiple enterprise systems (ITSM, identity, vulnerability management, threat intel)
Advanced Python, including library design, async patterns, packaging, and CI/CD integration
REST API architecture, including design, versioning, and OAuth 2.0, Managed Identity, and API key authentication patterns
Experience with automation orchestration platforms such as Apache Airflow, Prefect, Dagster, or equivalent
Data pipeline and data lake design, including schema evolution, partitioning, and storage optimization
AI/LLM integration, including agent architectures, tool-calling patterns, multi-model orchestration, and prompt engineering
Container orchestration with Kubernetes/AKS, including deployments, Helm charts, troubleshooting, and resource management
Linux administration on RHEL, including systemd, networking, security hardening, and performance tuning
Infrastructure as Code with Bicep, Terraform, or ARM templates
Git workflows, including branching strategies, PR review processes, and CI/CD pipeline design
SQL, including complex queries, schema design, and performance optimization
Master's degree in a technical discipline a plus
Relevant certifications strongly valued: CISSP, AZ-305, CKA/CKAD, AZ-400, AWS/Azure Security specialty
Azure platform expertise, including Key Vault, Blob Storage, Container Apps/AKS, Managed Identity, and Azure OpenAI
Security domain knowledge, including vulnerability management lifecycle, threat intel feeds, CVSS/EPSS scoring, and SIEM/SOAR
Encrypted data handling, including Parquet Modular Encryption, AES-256, and key management
Graph database experience with Neo4j and Cypher
Experience building shared libraries or SDKs consumed by multiple teams
Contribution to architecture decisions and technical roadmaps at the program level
Experience with enterprise change management and production deployment processes

Benefits

Comp & perks

Optional health and welfare insurance (medical/dental/vision/life/disability)
Paid holidays
Vacation time off
Sick time off
Matching 401(k) plan
Matching employee stock purchase plan