Security Automation Engineer

About the role

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

Responsibilities

• Develop, test, deploy, monitor, and maintain Python-based security automation solutions that improve cybersecurity capabilities and operational efficiency.
• Partner with cybersecurity teams to understand operational challenges, clarify ambiguous requirements, document solution designs, align with stakeholders, and validate delivered functionality.
• Build reliable Python applications, services, APIs, workflows, internal tools, integrations, and reusable libraries using maintainable software engineering practices.
• Develop API-driven integrations across security tools, cloud platforms, authentication systems, source code platforms, third-party services, and internal technologies, including systems without native integrations.
• Build security and compliance automation that collects, compares, validates, and acts on data, including validation of cloud resources against required security tooling and configuration standards.
• Develop and support AI-enabled security automation using large language models and Model Context Protocol (MCP), including secure integrations, AI governance controls, and usage guardrails.
• Contribute to agentic security capabilities, including automated analysis of source code for security vulnerabilities, exposed secrets, and compliance with infrastructure standards.
• Use AI-assisted development tools for coding, debugging, automated testing, documentation, and refactoring while independently reviewing and validating generated output.
• Troubleshoot issues across application code, APIs, identity and authentication, cloud infrastructure, data flows, and automation runtime environments, independently investigating unfamiliar technologies and resolving blockers.
• Collaborate through code reviews, operational support, shared tooling, reusable modules, engineering documentation, and development practices that improve security, reliability, maintainability, compliance, and governance.

Qualifications

• Degree in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
• 3+ years of hands-on software development or equivalent experience.
• Proficiency in Python, including experience developing, testing, debugging, and maintaining reliable production-quality code.
• Experience building API-driven applications and integrations, including authentication, pagination, error handling, retries, and logging.
• Experience with software engineering practices including Git, CI/CD, automated testing, code review, dependency management, and maintainable software design.
• Experience using AI-assisted development tools for coding, debugging, testing, documentation, and refactoring, including independently validating generated output.
• Hands-on experience working with large language models and experience understanding or developing Model Context Protocol (MCP)-based capabilities.
• Experience building or supporting automation in one or more cloud platforms, with an understanding of Infrastructure as Code (IaC) and cloud-native development concepts.
• Ability to work effectively with incomplete or ambiguous requirements and independently investigate unfamiliar tools, APIs, and technical environments to develop practical solutions.
• Strong analytical, problem-solving, written, verbal, and collaboration skills, including the ability to explain technical concepts to non-software-development stakeholders and take ownership of assigned work.

Skills

• Experience working with GitLab.
• Experience developing automation within cybersecurity environments.
• Experience supporting cybersecurity