Software Engineer - Back-End & Agentic AI

Responsibilities:

• Design, develop, and maintain our industry leading Threat Intelligence Platform – ThreatQ, with a focus on performance, scalability, and maintainability
• Collaborate with team members, product owners, and designers to implement product requirements
• Participate in code reviews, providing and receiving constructive feedback to maintain code quality standards
• Collaborate with product managers, security analysts, and other stakeholders to understand requirements and translate them into technical specifications.
• Develop and maintain high-quality code, ensuring adherence to best practices and coding standards.
• Stay current with emerging technologies and industry trends in cybersecurity, integrating new tools and techniques into development processes as appropriate.
• Contribute to the development of technical documentation, including design specifications, user guides, and API documentation.

Required Skills:

• A minimum of 2-4 years of experience with a bachelor’s degree in computer science or related field.
• Sound knowledge of PHP (Laravel) and/or Python, and object-oriented programming principles
• Experience with SQL and database systems, such as MariaDB; familiarity with MongoDB, Redis, and Solr a plus
• Experience with front-end technologies, such as React, JavaScript, HTML, TypeScript and CSS
• Good knowledge of AI coding tools and agent integration (e.g., Claude Code or similar AI coding assistants, MCP-based tool/agent integrations).
• Solid understanding of CI/CD development lifecycle. Hands-on experience with GIT version control (Github/Bitbucket/GitLab).
• Familiarity with RabbitMQ or similar message queue/async job systems
• Familiarity with RESTful APIs and JSON
• Experience with testing frameworks and libraries, such as PHPUnit, pytest, or Jest
• Knowledge of microservices architecture and containerization technologies, such as Docker or Kubernetes
• Familiarity with AWS and Infrastructure-as-Code (Terraform); exposure to on-prem Kubernetes (RKE2) is a plus
• Good problem-solving skills and attention to detail
• Excellent verbal and written communication skills
• Experience working in Agile development environments
• Willingness to upskill in SaaS environment concepts and event driven/queue-based architecture.