Senior Software Security Engineer

We are looking for a Senior Software Security 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, reducing 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, such as 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, including clean, maintainable code, OOP and functional programming patterns, and testing. Hands-on experience integrating LLM APIs , such as OpenAI and Anthropic, into Python applications, with a baseline understanding of developer-centric AI concepts such as RAG and vector embeddings. No ML model training or data science background is required. Practical experience deploying applications to cloud environments , preferably AWS, and writing Infrastructure as Code (Terraform) . Ability to operate with minimal supervision on day-to-day execution and reliably complete complex automation tasks. 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 Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. #J-18808-Ljbffr AgileEngine