דרושים » ניהול ביניים » Principal AI Software Engineer (CORA AI)

We are looking for a Software Engineering Manager to lead and mentor the team building the centralized multi-agent platform for Idira core services. In this role, you will combine hands-on technical leadership with rigorous execution to ensure the high-quality delivery of a scalable, robust AI platform. You will drive development processes, maintain clear alignment with stakeholders, and support the team through the full lifecycle of complex agent development-from architectural design to customer-facing production deployment and continuous optimization.
Responsibilities
Lead, mentor, and grow the engineering team responsible for Idiras centralized multi-agent platform; foster a collaborative, high-performance environment.
Own team execution: drive sprint planning, prioritize roadmaps, manage delivery commitments, and ensure reliable production support.
Oversee the end-to-end development of the multi-agent ecosystem: system architecture, implementation, seamless integration, deployment, and monitoring.
Maintain a clear capability matrix and roadmap for the core platform, managing dependencies across multiple autonomous agents and API integrations.
Communicate progress, risks, and status updates clearly to product, executive management, and cross-functional stakeholders.
Provide hands-on technical leadership: conduct code reviews, guide scalable architectural decisions, and uphold stringent engineering best practices for production-grade AI.

We are seeking a high-impact Sr. Staff Software Engineer to drive technical strategy, execution, and delivery within our Data & AI Platform team. In this role, you will architect cloud-native infrastructure, establish R&D best practices, and consistently ship high-ROI platform services that power core solutions for both internal systems and enterprise clients.
Your Impact:
Technical Leadership & Delivery: Define R&D engineering standards and architecture principles while taking full ownership of end-to-end delivery for complex, production-ready initiatives.
Cloud & Data Architecture: Architect and build scalable, highly available solutions across major cloud environments leveraging modern data, streaming, serverless, and storage platforms.
AI-Driven Engineering: Integrate modern AI tools and autonomous agents into daily workflows to optimize development velocity, author reusable agent skills, and maintain contextual grounding for maximum efficiency.
End-to-End Ownership: Lead all phases of an AI-augmented Software Development Life Cycle (ASDLC)-from architectural design through automated testing, CI/CD deployment, and operations.
Cross-Functional Collaboration: Partner with product leaders and technical stakeholders to translate complex business needs into clear, high-value software deliverables shipped on schedule.
Mentorship & Culture: Elevate engineering standards across the org through architectural guidance, code reviews, and continuous knowledge sharing.

We are seeking a highly motivated and experienced Principal Software Engineer to join our group.
In this role, youll be at the heart of developing secure, scalable, and mission-critical components that protect the worlds most sensitive data - databases. Youll collaborate with a talented group of Backend, Frontend, QA, DevOps, Security Engineers, and Product Managers to deliver innovative solutions.
You will own and deliver new features end-to-end across a wide tech stack spanning Python, Golang, and C++, all running on AWS-native SaaS.
This is your opportunity to work on cutting-edge technology in a fast-paced, cloud-native environment-where your ideas and code will directly influence the security posture of global enterprises.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Directory Service and User Management platform. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production.
Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact
System Architecture & Design: Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
SDLC Mastery: Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Research & Innovation: Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Technical Mentorship: Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Quality & Scalability: Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

We are looking for a highly motivated and passionate Principal Software Engineer to join our team.
In this role you will be using AWS serverless architecture, AWS CDK & Python (and C++ preferred) to design, develop, test, secure & deploy services from planning to production.
The team works in full collaboration with security architects, product managers and other development teams.
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS following secure-by-design principles.
Research and implement sophisticated Cyber security mechanisms.
Integrate the AI-Driven Software Development Life Cycle (ASDLC) as your primary development framework.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Authentication platform. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production. Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact:
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

Required Staff Software Engineer - Product Security
Job Description
Our Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams:
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team:
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: we own the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

Required Principal AI Security Engineer
Job Description
Role
This is a hands-on architecture role: deep research, secure systems design, and prototyping, applied across product lines with minimal direction and broad latitude to set the technical agenda. You will set platform-wide direction for securing the AI development lifecycle, define the security architecture, agents, and models operating within it, and represent our AI security point of view externally. You'll be a technical authority other engineers and other teams look to on emerging AI-specific threats, working in close partnership with the AI security research team - drawing on their findings and feeding real-world attack surfaces back into their agenda.
What you'll do:
Own the security strategy and architecture for our Agentic AI ecosystem, LLMs, and models across product lines
Lead threat modeling for the most complex and novel GenAI/agentic surfaces: cross-agent autonomy, multi-agent tool orchestration, and emerging attack classes not yet standardised in the industry
Set the architectural standard for securing model/RAG/data pipelines platform-wide, including access-control and data-boundary models that other teams are expected to build against
Define what "secure-by-design" means for agentic systems, and drive adoption across engineering orgs
Represent our AI security posture externally (standards bodies, industry publications, conferences) and internally to executive stakeholders
Mentor and technically guide engineers on AI-specific security work

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.