Security Automation Engineer (Python)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Security Automation Engineer (Python) based in the United States.

This role offers an opportunity to design and deliver advanced security automation solutions within a fast-paced technology environment. The position focuses on building scalable automation frameworks, cloud-based integrations, and AI-enhanced workflows that strengthen security operations and improve efficiency. You will work at the intersection of software engineering, cybersecurity, and cloud infrastructure, helping teams reduce manual processes and respond faster to security challenges. By developing production-grade solutions and integrating enterprise security platforms, you will contribute to more resilient and intelligent security ecosystems. This is an ideal opportunity for an engineer who enjoys solving complex technical problems and driving innovation through automation.

Accountabilities: Design, develop, and maintain Python-based automation solutions, data pipelines, API integrations, workflow orchestration tools, and reporting capabilities that support security and cloud operations.

Build integrations between enterprise security platforms, including application security tools, SIEM solutions, cloud security platforms, governance systems, IT service management platforms, secrets management tools, and ticketing systems through REST APIs.

Develop AI-assisted security workflows that automate vulnerability finding analysis, classification, prioritization, routing, and reporting processes to improve operational efficiency.

Implement and support cloud-native automation solutions using AWS services such as Lambda, ECS/Fargate, S3, IAM, and API Gateway.

Improve existing automation frameworks through code optimization, testing, documentation, CI/CD improvements, and Infrastructure as Code best practices.

Collaborate with security, engineering, IT, and business stakeholders to translate technical requirements into reliable, scalable, and maintainable software solutions.

Contribute to secure development practices by identifying opportunities to enhance automation quality, system reliability, and security operations maturity.

Requirements

5+ years of professional experience developing production-grade Python applications, automation frameworks, data pipelines, API integrations, and data processing solutions.

Strong expertise in Python development with experience handling structured data formats including JSON, CSV, XML, YAML, and related technologies.

Hands-on experience working with REST APIs, including authentication methods, token-based access, pagination, rate limiting, retry mechanisms, and enterprise system integrations.

Proven experience with AWS cloud services, including Lambda, ECS/Fargate, S3, IAM, API Gateway, cloud networking, and cloud security best practices.

Strong knowledge of Terraform, Git, and GitHub Actions CI/CD workflows, including Infrastructure as Code, automated deployments, testing, code reviews, and collaborative development practices.

Understanding of application and cloud security concepts, including OWASP Top 10, secure coding principles, vulnerability management, identity and access management, network security, and cloud security posture management.

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.

Strong communication and collaboration skills with experience working in security operations, IT operations, or enterprise-scale technology environments.

Benefits

Opportunity to work on innovative cybersecurity automation initiatives within a global technology environment.

Remote-friendly work flexibility.

Exposure to advanced cloud technologies, AI-driven workflows, and enterprise security platforms.

Collaborative environment with cross-functional engineering and security teams.

Opportunities to contribute to large-scale digital transformation and security modernization projects.

Professional growth opportunities through challenging technical projects and continuous learning.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1