We are looking for a Java Full Stack Developer with 7-12 years of experience to build and enhance products focused on Agentic AI Security. The ideal candidate should have strong Java and distributed systems expertise, along with hands-on experience building connectors and integrations for AI, SaaS, and low-code/no-code platforms.

Key Responsibilities:

- Own the complete software development lifecycle, including requirements analysis, design, development, testing, deployment, and production support.

- Design and develop scalable software solutions for Agentic AI Security products.

- Build and maintain connectors for Low-Code/No-Code and Agentic AI platforms such as Microsoft Copilot Studio, Microsoft Power Platform, Salesforce Agentforce, Zapier, CrewAI, and Marketo.

- Develop integrations and connectors for enterprise SaaS applications including Microsoft 365, Power Apps, Salesforce, and ServiceNow.

- Design and develop distributed systems and scalable backend services using Java.

- Integrate third-party APIs and services while ensuring reliability, security, and scalability.

- Work closely with product, security, and engineering teams to design robust integration solutions.

- Deploy and manage workloads on cloud-based architectures.

- Troubleshoot production issues and contribute to performance optimization and system reliability.

- Follow secure coding, testing, and software engineering best practices.

Required Skills & Experience:

- 7-12 years of experience in Java software development, preferably with full-stack or backend-heavy development.

- Strong proficiency in Core Java and distributed systems.

- Hands-on experience developing connectors, APIs, and integrations for SaaS and enterprise applications.

- Experience with Low-Code/No-Code and Agentic AI platforms, such as Microsoft Copilot Studio, Power Platform, Salesforce Agentforce, Zapier, or CrewAI.

- Strong understanding of REST APIs, authentication, API integrations, and third-party services.

- Experience working with cloud-based architectures, preferably AWS or GCP.

- Experience with technologies such as Elasticsearch and Redis.

- Strong understanding of software development lifecycle, debugging, testing, and deployment.