Tech Lead Security Software Engineer ID80140

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.