Senior Full-Stack AI Software Engineer

Organization: NetSec Center of Excellence, Technical Services

Employment Type: Full-time Contract

Level: Senior

We are looking for an experienced Senior Full-Stack AI Software Engineer to design, develop, deploy, and maintain production-grade software applications using modern full-stack technologies and AI-powered development tools. The ideal candidate will have strong software engineering expertise, hands-on experience with AI coding agents, Google Cloud Platform, and a working understanding of cybersecurity and networking concepts.

Key Responsibilities

- Design, develop, test, and maintain end-to-end software applications across frontend, backend, APIs, databases, and infrastructure.
- Use AI coding agents such as Claude Code or equivalent tools for planning, implementation, testing, debugging, and refactoring.
- Build and maintain reusable AI-assisted development workflows.
- Review AI-generated code critically to ensure quality, security, and reliability.
- Develop and maintain CI/CD pipelines using GitLab CI.
- Deploy, manage, and troubleshoot production applications on Google Cloud Platform.
- Work with Google Kubernetes Engine (GKE), Cloud SQL, and IAM.
- Monitor application performance, observability, production rollouts, and incident resolution.
- Test software integrations with NGFW, Prisma Access, and SD-WAN products.




- Collaborate with teams and mentor engineers in AI-assisted development.

Required Skills and Qualifications

- 5–7 years of experience in full-stack software engineering or a related field.
- Robust proficiency in TypeScript, JavaScript, and Python.
- Hands-on experience with Claude Code or comparable AI coding agents.
- Strong understanding of frontend/backend development, REST APIs, databases, and software architecture.
- Practical GCP experience, particularly GKE, Cloud SQL, and IAM.
- Experience with GitLab CI/CD.
- Working knowledge of networking and security concepts, including firewalls, SASE, and SD-WAN.
- Production troubleshooting and strong problem-solving skills.

Preferred Qualifications

- Cybersecurity or enterprise networking experience.
- Production container deployment experience.
- Agentic AI workflow experience.
- Mentoring and code review experience.

Location: Bangalore preferred; other locations may be considered.

Working Hours: Full-time, with a few hours of overlap with the US-based hiring manager in Tennessee. Exact hours to be discussed.

Education: Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.

Compensation: Competitive, based on experience and market standards.

Pay: ₹30,000.00 - ₹40,000.00 per month

Work Location: In person

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