Role Summary
Seeking a hands-on Security Applications Engineer to join the CyberDefense team. This role combines security operations and software development, focusing on managing in-house security tools and developing production-grade applications. The ideal candidate should be proficient in AI-assisted software development and experienced in delivering enterprise-quality applications.
Primary Skills
- Backend Development (Python, Node.js, or similar)
- Full Software Development Lifecycle (SDLC)
- Production-grade application development
- SQL & Relational Databases
- GitHub/GitLab version control
- CI/CD pipelines
- Docker (Containerization)
- Infrastructure as Code (IaC)
- Secrets & Environment Management
- AI Coding Assistants (GitHub Copilot, Claude Code, Replit, etc.)
- Software architecture and enterprise development best practices
Good to Have / Preferred
- Security Operations / CyberDefense domain experience
- Application Security
- Observability & Logging
- Release Management
- Documentation and Technical Communication
- Cross-functional stakeholder management
Key Responsibilities
- Develop and maintain production-grade security applications.
- Manage and enhance in-house CyberDefense tooling.
- Own the complete SDLC from requirements gathering through deployment and maintenance.
- Build secure, scalable, and maintainable backend applications.
- Implement CI/CD pipelines and manage Git-based development workflows.
- Work with Docker, Infrastructure as Code, and environment management tools.
- Ensure proper logging, monitoring, error handling, and security best practices.
- Utilize AI-assisted development tools effectively while maintaining engineering quality.
- Collaborate with security, infrastructure, and cross-functional teams to deliver business-critical applications.
Ideal Candidate Profile
- 6+ years of enterprise software development experience.
- Strong backend programming skills (Python/Node.js preferred).
- Experience building production-ready enterprise applications.
- Proficient with modern DevOps practices and software delivery pipelines.
- Comfortable leveraging AI coding assistants to improve productivity without compromising code quality.
- Excellent communication and stakeholder management skills.
Pay: ₹800,000.00 - ₹1,207,963.87 per year
Benefits:
- Flexible schedule
- Health insurance
- Leave encashment
- Paid sick time
- Provident Fund
Work Location: In person
