Senior Security Engineer

Procore Technologies; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Procore Technologies seeks a Senior Security Engineer to design and deploy autonomous security agents that protect our AI-enabled SaaS platform. You will build agentic workflows, ensure secure-by-default practices, and drive self-healing infrastructure across cloud and on-prem environments.

You will collaborate withProduct & Technology, IT, GRC, and Security Operations to integrate AI-driven security into system design, IAM controls, and incident response, reporting to the Senior Manager,

Qualifications

• Bachelor's degree in Computer Engineering or equivalent.
• Experience building and deploying AI agents in production.
• Proficient in Python or Go and distributed systems.
• Familiar with LLM orchestration and security frameworks.

Responsibilities

• Build autonomous defenders using LangChain, CrewAI, or AutoGPT.
• Architect agentic IAM with dynamic permissions based on risk analysis.
• Integrate automated threat modeling and PR generation into the SDLC.
• Secure the AI lifecycle with prompt-injection mitigations and RAG security measures.
• Develop self-healing infrastructure using Kubernetes, EKS and Terraform.
• Create agentic workflows for real-time asset discovery and SBOM generation.
• Lead the technical roadmap for Agentic SecEng and mentor junior engineers.

Skills

Agentic security

Python

Go

Distributed systems

Education

Bachelor's degree in Computer Engineering

Tools

LangChain

AutoGPT

Kubernetes

Terraform

Pinecone

Weaviate

Job description

We’re looking for a Senior Security Engineer to join Procore’s Security Engineering team. In this role, you won’t just be a gatekeeper; you will be a builder of autonomous systems. You will be responsible for designing and deploying the foundational AI agents that protect our platform, data, and users. Your primary goal is to move beyond manual oversight to build a self-healing, resilient cloud infrastructure powered by agentic workflows.

As a Senior Security Engineer, you’ll partner with Product & Technology, IT, GRC, and Security Operations to integrate autonomous security into the very fabric of our systems. You will use your expertise in security, software development, and LLM orchestration to build agents that can reason through threats, remediate control findings in real-time, and enforce identity boundaries. This is a critical role in redefining what "secure by default" means in an AI-driven SaaS ecosystem.

This position reports into the Senior Manager, Security Engineering and will be based in our Bengaluru office.

What you’ll do:

At Procore, AI isn’t a specialized tool, it's a core competency. We expect every team member to be AI-literate, leveraging generative tools and agentic workflows to move faster and work smarter. You won’t just use AI; you’ll be building the agentic future of construction.

• Build Autonomous Defenders: Design and deploy security agents using frameworks like LangChain, CrewAI, or AutoGPT to automate complex security reasoning tasks.
• Architect Agentic IAM: Build autonomous guardrails for cloud (AWS) and corporate environments that dynamically adjust permissions based on agentic analysis of risk telemetry.
• Agentic SDLC Integration: Construct automated pipelines where AI agents perform continuous threat modeling, code analysis, and auto-generate PRs for vulnerability remediation.
• Secure the AI Lifecycle: Develop and implement security controls for our internal AI agents, including Prompt Injection mitigation, RAG security, and sandboxed execution environments.
• Self-Healing Infrastructure: Develop "paved road" libraries and autonomous agents that monitor and fix drift in containerized (Kubernetes, EKS) and IaC (Terraform) workflows.
• Autonomous Asset Intelligence: Build agentic workflows for real-time asset discovery and automated SBOM generation that adapts as our ecosystem evolves.
• Lead the Technical Roadmap: Contribute to the vision of "Agentic SecEng," moving the organization from manual dashboards to autonomous response.
• Mentor & Code Review: Review agent logic, prompt templates, and traditional code, mentoring junior engineers in the transition from security analysts to security builders.

What we’re looking for:

• The Builder Mindset: Bachelor's degree in Computer Engineering or equivalent; you identify as a Software Engineer first, with a deep specialization in Security.
• Agentic Expertise: Proven experience building, testing, and deploying AI agents in production. You understand the nuances of ReAct patterns, tool-calling, and agentic memory.
• Software Mastery: Professional-grade coding skills in Python or Go. You should be comfortable building complex distributed systems, not just simple automation scripts.
• Modern AI Stack: Deep familiarity with LLM orchestration (LangChain, Semantic Kernel), Vector Databases (Pinecone, Weaviate), and LLM security frameworks