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About the Role
We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams — operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus.
What you will do
Must haves
Nice to haves
Perks and Benefits
Job ID: 152935929
Skills:
data engineering , Azure Cloud - App Service, Distributed Computing, Api Management, Networking, Typescript, Python, AWS, Azure DevOps, Node.js, MLops, Databricks, FastAPI, Kubernetes, Mosaic AI, Enterprise compliance, Container Apps, CI CD, Azure AI Foundry, LangGraph, GitHub Actions, GEnie, RAG Agentic AI, Kubeflow, Auto ML, LangChain, Chainlit, Data Science and Machine Learning methods
Skills:
Nosql, Java, Docker, Restful Apis, Kubernetes, Python, Sql, CI CD pipelines, Go, AI ML technologies
Skills:
Apis, PostgreSQL, Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Python, Kubernetes, AWS, RAG systems, scikit-learn, vector databases, CI CD, LLM fine-tuning, distributed system architecture, fine-tuning AI ML models
Skills:
Servicenow, PowerShell, Json, Workday, Javascript, Rest Apis, automation, Python, Authentication, enterprise security best practices, Moveworks, conversational AI, AI LLM concepts, system integrations, Troubleshooting
Skills:
Java, Cursor, Sql, Numpy, Git, Pandas, Spark, Python, AWS, Generative AI, LLMs, prompt engineering, Vector Databases, Agentic AI, LoRA, RAG, MCP, QLoRA, Windsurf