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
Senior Security Software Engineer
to build cloud security AI accelerators, writing Python code, developing REST APIs, and implementing GenAI workflows that automate cloud infrastructure baselines, drift detection, and AI asset discovery across a large-scale financial services environment. You will build AI agents for inventory data quality validation, write Rego policies for CI/CD pipeline inspection, generate compliant Terraform modules, and integrate LLM APIs including OpenAI and Anthropic into production automation systems. The role requires 5+ years of software engineering experience with strong Python fundamentals and hands-on LLM API integration.
WHAT YOU WILL DO
- Build and implement AI agents to automate inventory data quality validation, reconciliation, and ownership attribution to reduce manual security operations efforts;
- Write and validate Rego policies and Regula test cases that inspect Terraform passing through CI/CD pipelines;
- Generate compliant Terraform modules based on AI-accelerated configuration requirements for new cloud resources (e.g., AWS S3);
- Develop robust REST APIs and scripts that routinely perform drift detection, deploy live test resources, and verify expected outputs from cloud service endpoints.
MUST HAVES
-
5+ years of hands-on software engineering experience
;
- Strong
Python development fundamentals
(clean, maintainable code, OOP/functional patterns, testing);
- Proven
REST API development experience
;
- Hands-on experience integrating
LLM APIs (e.g., OpenAI, Anthropic) into Python applications
, with a baseline understanding of developer-centric AI concepts like RAG and vector embeddings. (Note: No ML model training or data science background required);
- Practical experience deploying applications to
Cloud environments (AWS preferred)
and writing
Infrastructure as Code (Terraform)
;
- Ability to operate with minimal supervision on day-to-day execution, reliably completing complex automation tasks;
- Upper-intermediate English level.
NICE TO HAVES
- Experience building high-performance endpoints using FastAPI;
- Hands-on scripting experience with LangChain or LangGraph;
- Practical experience writing Rego policies for Wiz Custom Configuration Rules or Regula.
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 â Coding Challenge â Video Interview â 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.
