Tech Lead Security Software Engineer ID80140
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AI Summary
Architect Generative AI workflows and automation systems to translate manual cloud security tasks into AI-accelerated pipelines. Lead a localized 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.
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 Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases. (Note: We need software builders, not Machine Learning researchers);
- Deep Cloud Architecture experience (AWS preferred) and proven ability to design Infrastructure as Code (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 (LangChain, 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
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
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