Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!
Position Overview : We are looking for a DevSecOps Engineer to help raise the security bar for our customer data, applications, and infrastructure at Level AI. This person will actively collaborate with team members and the wider Level AI engineering community in producing quality deliverables in an efficient manner. This person will understand the GCP security landscape & deploy controls to prevent, detect and respond to those security threats. They will work across many teams including infrastructure, engineering, operations, incident response, and offensive security to develop scalable solutions. In addition, they will actively collaborate and share ideas, thoughts and challenges with peers both inside and outside the team.
Responsibilities :
- Implement and maintain security controls and best practices for GCP environments.
- Monitor and manage cloud security configurations and policies.
- Conduct regular security assessments and audits of GCP infrastructure.
- Perform regular penetration tests on our systems and applications.
- Identify and document security vulnerabilities and provide actionable recommendations.
- Work with development and operations teams to remediate identified vulnerabilities.
- Perform threat modeling and risk assessments to identify potential security issues.
- Develop and maintain security documentation, including policies, procedures, and guidelines.
- Conduct security training and awareness programs for employees.
- Work closely with cross-functional teams, including DevOps, IT, and development teams, to integrate security into all aspects of the development lifecycle.
- Provide guidance and support for secure coding practices and security best practices.
GCP Security:
Penetration Testing:
Security Operations:
Collaboration:
Requirements :
- Bachelor’s degree in Computer Science, Information Security, or a related field.
- 3+ years of experience in a security engineering role, with a focus on cloud security and penetration testing.
- Strong knowledge of Google Cloud Platform (GCP) security best practices and tools.
- Hands-on experience with penetration testing tools and methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Experience with other cloud platforms (AWS, Azure).
- Knowledge of container security (Docker, Kubernetes).
- Experience with security automation and orchestration tools.
- Understanding of network security principles and technologies.
Preferred Skills:
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
Top Skills
What We Do
Level AI (https://thelevel.ai) is a Mountain View, CA and Delhi, India based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission for AI to augment the worker and not replace them. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another.
The team has experience from Amazon Alexa, Google, and other leading AI organizations.