AI Engineering Tech Lead

About the Role

Akeyless is committed to fostering an AI-first engineering culture, and as a Tech Lead, you will play a pivotal role in promoting this vision across teams. Your expertise in distributed systems, microservices, and cloud-native technologies will be instrumental in shaping the company's technical strategy and ensuring the delivery of cutting-edge solutions.

What You Will Do

• Define and codify AI-native engineering practices, patterns, and guidelines to elevate the software development lifecycle
• Provide technical leadership and mentorship to foster an AI-first engineering culture across teams
• Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability
• Identify architectural risks, systemic bottlenecks, and long-term scalability concerns and proactively drive solutions
• Collaborate closely with Product, Customer Success, Security, and Business stakeholders to ensure technical solutions deliver real business impact
• Develop and maintain a deep understanding of the Kubernetes ecosystem and modern platform engineering practices
• Build and integrate AI agents and workflows to drive operational excellence
• Work closely with the engineering team to ensure the adoption of AI-native engineering practices
• Develop and maintain technical documentation to support the development and deployment of AI-native systems

What We Are Looking For

• Hands-on experience (6+ years) with distributed systems, microservices, and cloud-native technologies
• Proven ability to leverage AI-assisted engineering to drive operational excellence
• Strong technical skills in building features end-to-end and a passion for large-scale production services, data modeling, and databases
• Experience with AWS, Azure, or GCP and a passion for building highly observable, resilient systems
• Strong communication skills, empathetic, and someone who thrives in a fast-paced environment
• Prior experience in deploying and maintaining high-scale, multi-region production-grade systems
• Experience with B2B Cyber Security, Cloud Security, Identity & Access Management, or Encryption Keys Management

Nice to Have

• Experience with modern AI frameworks and tools
• Knowledge of modern DevOps practices and tools
• Experience with agile development methodologies

Benefits and Perks

• Competitive compensation package
• Opportunity to work with a pioneering company in the AI and cybersecurity space
• Collaborative and dynamic work environment
• Professional development opportunities
• Flexible working hours and remote work options
• Access to cutting-edge technologies and tools
• Recognition and reward for outstanding performance

• Develop a strong portfolio showcasing your experience with AI-native engineering practices and cloud-native technologies.
• Be prepared to provide specific examples of how you have driven operational excellence through AI-assisted engineering.
• Ensure you have a deep understanding of the Kubernetes ecosystem and modern platform engineering practices.
• Highlight your ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Be prepared to discuss your experience with distributed systems, microservices, and cloud-native technologies, and how you can apply this expertise to drive business growth.
• Research Akeyless and the role of AI Engineering Tech Lead to demonstrate your interest and knowledge of the company and position.
• Prepare to discuss your experience with B2B Cyber Security, Cloud Security, Identity & Access Management, or Encryption Keys Management, and how you can apply this expertise to drive business growth.