- Experience
- 1 – 4 years
- Pay
- Not disclosed
- Education
- Not specified
- Location
- Remote (India)
- Work mode
- Remote
- Job type
- Full-time
About this role
Fluid AI sells an enterprise Gen AI and agentic AI platform to corporate customers. This hands-on security engineer finds and fixes vulnerabilities across its Python and JavaScript services, containers, cloud infrastructure and AI agents.
What you will do
- Find, investigate and fix security vulnerabilities across the platform
- Review Python, JS/TS and infrastructure code for security
- Secure autonomous AI agents, workflows and tool integrations
- Harden Kubernetes clusters, Docker containers and deployments
- Implement authentication, authorization, secrets management and least-privilege access
- Add automated security checks to CI/CD pipelines
- Remediate vulnerable dependencies
- Run threat modeling for new features
What the employer expects
- 1-4 years in software or security engineering
- Strong Python and JavaScript/TypeScript
- Experience with Linux, Docker and Kubernetes
- Good grasp of OWASP Top 10 web vulnerabilities
- Familiarity with authentication, APIs and networking
- Strong debugging and problem-solving
- Nice to have: SAST/DAST, Kubernetes security, LLM/MCP security, cloud platforms
Skills
- Python
- JavaScript
- TypeScript
- Linux
- Docker
- Kubernetes
- OWASP Top 10
- CI/CD
- SAST/DAST
- OpenTelemetry
Apply on the employer's site
The application opens on Fluid AI careers page. Dev Portal Notes does not collect your application or charge a fee.
Know someone who fits this role?
Applications are handled on the employer's own site.
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