We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.

You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.

What You'll Do

Hands-on Technical Leadership

Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.

Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.

Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.

Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.

Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Architectural Execution

Collaborate with the other tech leads to ensure cross-group-level implementations align with our broader technical and architectural strategy.

Drive the adoption of modern distributed system patterns and cloud-native best practices through direct implementation and guidance.

Champion the use of AI tools to optimize development lifecycles while maintaining deep ownership of the system codebase.

our company's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing our company Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

CyberArk's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing CyberArk Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

Your Career:
As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:

* Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
* Define and execute the engineering strategy in alignment with business and product objectives.
* Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
* Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
* Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
* Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
* Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
* Stay ahead of emerging technologies and industry trends to ensure continuous innovation.

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.

We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.