Security Software Engineer

ID80138AgileEngine 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 usIf 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 roleWe 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 doBuild 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 haves5 years of hands-on software engineering experience.Strong Python development fundamentals, including clean, maintainable code, OOP and functional programming patterns, and testing.Proven REST API development experience.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 havesExperience 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.The benefits of joining usProfessional growthAccelerate your professional journey with mentorship, TechTalks, and personalized growth roadmapsCompetitive compensationWe match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activitiesA selection of exciting projectsJoin projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brandsFlextimeTailor 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.Meet Our Recruitment ProcessAsynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:Short online form to confirm basic requirements30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.5-minute introduction videoSynchronous stage – Live interviewsTechnical interview with our engineering team (scheduled at your convenience)Final interview with your future teammatesIf it’s a match — you’ll get an offer!