.NET Integration Engineer

We are looking for a highly skilled .NET Integration Engineer to join our team and lead the development of a centralized enterprise data portal. This portal will integrate cybersecurity platforms, infrastructure systems, and AI-driven capabilities to enhance data visibility and security operations. The ideal candidate will bring 10-12 years of experience with strong expertise in .NET Core, C#, API integration, Python, AI/ML technologies, and database management. A solid understanding of React-based dashboards and enterprise cybersecurity environments is essential for this role.

Key Responsibilities

Design, develop, and optimize secure, high-performance APIs using .NET Core and C#, following a Modular Monolithic architecture. Integrate various cybersecurity platforms, network devices, and infrastructure systems through REST/GraphQL APIs, webhooks, syslog, SNMP, and database connections. Develop and manage automated background jobs using Hangfire to handle data ingestion, processing, and synchronization efficiently.

Optimize PostgreSQL and MongoDB databases to support structured data, security logs, telemetry, and AI workloads. Integrate large language models (LLMs), machine learning models, retrieval-augmented generation (RAG) pipelines, vector embeddings, and AI-driven automation to enable anomaly detection, security risk prediction, and event correlation. Collaborate closely with frontend teams to deliver optimized JSON payloads and support custom React dashboards, interactive analytics, charts, and AI-powered interfaces.

Implement and maintain real-time communication features using LiveKit or similar technologies for embedded video capabilities. Ensure secure backend communication by applying OAuth 2.0, mutual TLS (mTLS), API key rotation, and secure coding best practices. Monitor application performance, AI inference quality, and data pipeline reliability while proactively troubleshooting integration issues. Work collaboratively with cybersecurity, infrastructure, AI, and software engineering teams to deliver scalable and robust product enhancements.

Required Qualifications

10–12 years of experience in software development, backend engineering, and system integration, with strong hands-on expertise in .NET Core and C#. Proven experience in enterprise API development, Modular Monolithic architecture, Hangfire, REST/GraphQL APIs, and asynchronous processing. Demonstrated ability to integrate AI/ML technologies, including LLMs, machine learning services, RAG pipelines, vector embeddings, and intelligent automation.

Working knowledge of React architecture, state management, API integration, and custom dashboard components. Advanced hands-on experience with PostgreSQL and MongoDB databases. Familiarity with cybersecurity and infrastructure technologies such as SIEM, EDR, network telemetry, syslog, SNMP, and cloud infrastructure logs. Experience with LiveKit or comparable real-time communication solutions. Strong understanding of security protocols including OAuth 2.0, mTLS, API security, and credential management. Bachelor’s or master’s degree in Computer Science, Software Engineering, AI/Data Science, or a related field.

Preferred Qualifications

Experience in developing AI-enabled enterprise products or cybersecurity analytics platforms is highly desirable. Exposure to cloud environments, containerization, continuous integration/continuous deployment (CI/CD), and application monitoring tools will be an advantage. Experience building custom data visualization platforms without heavy reliance on proprietary business intelligence tools is preferred.

This role offers the opportunity to work at the intersection of cybersecurity, AI, and enterprise software development, contributing to cutting-edge solutions that enhance organizational security posture and operational efficiency.