Lead Security Software Engineer ID80141
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AI Summary
You will architect Generative AI workflows and automation systems to translate manual cloud security tasks into AI-accelerated pipelines. Additionally, you will lead an engineering pod and serve as the primary technical point of contact for cloud security tooling.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Lead Security Software Engineer to architect GenAI workflows and automation systems that translate manual cloud security adoption into AI-accelerated pipelines within a large-scale financial services environment. You will design RAG-based systems and LLM API integrations to automate secure cloud baseline generation, Rego policy creation, and Terraform module compliance, while leading a localized engineering pod and acting as the primary technical point of contact for cloud security tooling. The role requires 6+ years of software engineering experience with advanced Python, AWS architecture, and GenAI API integration expertise.
WHAT YOU WILL DO
- Architect Generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
- Oversee the development of automated drift detection, continuous discovery, and gap analysis capabilities to identify unmanaged AI assets and configuration anomalies.
- Guide the engineering pod in generating and validating compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
- Act as the primary technical point of contact for a Cloud Security Tooling (CST) team, leading a localized pod to ensure scalable, maintainable, and highly effective automation frameworks.
MUST HAVES
- 6+ years of software engineering experience with a strong architectural focus on cloud infrastructure.
- Advanced Python development and REST API design capabilities.
- Practical experience integrating GenAI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts such as Retrieval-Augmented Generation (RAG) and vector databases.
- Deep AWS cloud architecture experience and proven ability to design Infrastructure as Code using Terraform.
- Proven capability to lead and mentor senior engineers in an autonomous, follow-the-sun model.
- Upper-intermediate English level.
NICE TO HAVES
- Hands-on experience with modern AI orchestration frameworks such as LangChain and LangGraph.
- Experience building APIs with FastAPI.
- Direct experience writing Rego policies (Open Policy Agent) or Regula test cases.
- Familiarity with Cloud-Native Application Protection Platforms (CNAPP), particularly Wiz.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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