דרושים » תוכנה » Senior Staff Software Engineer (Secure Agentic AI)

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/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Key Responsibilities
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

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/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Key Responsibilities
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

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.

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 the Manager, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail - youll also be responsible for building and leading a high-impact engineering team from the ground up.
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
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.

We are looking for a Sr. Staff Security Engineer to be a technical anchor 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 be one of the senior technical leaders shaping the teams engineering culture, architecture decisions, and technical direction from its inception.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Lead Technical Design and Architecture:
Drive architecture and design decisions for Security R&Ds capabilities, ensuring systems are built for enterprise scale, reliability, and maintainability.
Lead technical design reviews and serve as the senior engineering voice on security tooling, automation, and platform services built by the team.
Define technical standards, code quality expectations, and engineering best practices for the Security R&D team.
Evaluate and integrate third-party security services alongside in-house AI-powered capabilities to maximise security review coverage.
Build Security Capabilities at Platform Scale:
Design and develop security tooling, automation, and platform-native services - both for internal use and as externally facing product features.
Contribute code directly into our product engineering codebases where security domain expertise accelerates delivery and improves security outcomes.
Leverage our unique platform advantages - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to build capabilities that external vendors cannot replicate.
Collaborate with the AI Security Research team on AI agent security tooling, bringing production engineering discipline to an emerging domain.
Mentor and Elevate the Team:
Mentor junior and mid-level engineers, raising the technical bar across the team through code reviews, design guidance, and hands-on pairing.
Represent Security R&D in cross-functional discussions with product engineering leadership, demonstrating technical credibility as an engineering peer.
Contribute to hiring by helping define the technical interview bar and participating in candidate evaluations.

We're a small, fast, high-ownership team, and we're looking for a Senior Backend Engineer to make work for agents - both by building new agent-facing infrastructure and by reshaping our existing platform for a world where the caller is a machine. Some of this is greenfield. Much of it is taking APIs, auth, and SDKs and making them ergonomic, legible, and reliable for agents.

Its a problem the whole industry is still figuring out. Youll help define what great API design looks like when the caller is not a human developer, but an agent acting on their behalf.

What you'll do
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

we are looking for aSenior Software Engineerto join theSecrets Hubgroup and help evolve our modern, multi-cloud secrets management SaaS platform.
Secrets Hub integrates with AWS, Azure, GCP, and HashiCorp Vault to give organizations a centralized, secure, and seamless way to manage secrets across cloud environments. As a senior engineer, youll join a strong engineering team and contribute to the design, development, and scaling of core product services used by some of the largest enterprises in the world.
This is a hands-on role for someone passionate about solving deep technical problems, writing clean code, and working in a fast-paced, cloud-native environment.
Responsibilities:
Design, implement, and maintain secure and scalable backend services for Secrets Hub.
Collaborate with product managers, architects, and fellow engineers across multiple engineering teams.
Write clean, maintainable code in Python using AWS serverless architecture and AWS CDK.
Participate in system design discussions, architecture reviews, and code reviews.
Take part in the full development lifecycle, including planning, implementation, testing, deployment, and monitoring.
Investigate complex production issues and contribute to continuous improvement of reliability and observability.
Uphold high standards of quality, security, and performance.

We are seeking a Senior Principal Software Architect to define and drive the long-term architectural vision for our Identity Platform. In this role, you will lead the design and evolution of our next-generation Identity services, ensuring they meet the highest standards of scalability, security, resiliency, and operational excellence. As one of the organization's senior technical leaders, you will shape architecture across multiple product areas, influence strategic technology decisions, and partner with Engineering, Product Management, Security, and Architecture leadership to build a world-class Identity platform. You will establish architectural standards, mentor engineering teams and architects, and drive modernization initiatives that accelerate innovation while reducing technical debt.
Key Responsibilities
Define and evolve the long-term architecture and technology strategy for the Identity Platform.
Lead the design of large-scale, cloud-native SaaS systems that meet demanding scalability, security, availability, and performance requirements.
Establish architectural principles, design standards, and engineering best practices across multiple teams and organizations.
Partner with Product Management, Engineering, Security, and fellow architects to translate business and cybersecurity requirements into scalable technical solutions.
Drive modernization initiatives, simplify complex systems, and strategically reduce technical debt.
Lead architecture reviews, identify technical risks, and guide teams toward successful implementation.
Mentor architects and senior engineers, fostering technical excellence and growing future technical leaders.
Represent the Identity organization in architecture forums and contribute to the broader engineering strategy across our company.

We are the Identity, IAM, and SSO team-the frontline architects of secure friction-free access for our enterprise. We unify human employees, static workloads, and dynamic AI agents under a seamless Single Sign-On and zero-trust framework, protecting sensitive systems. We are looking for a visionary Senior Staff Software Engineer to lead the technical strategy, multi-year architecture, and global engineering vision for our Human & Non-Human Identity unified platform. As a principal technical authority, you will use AWS architecture, AWS CDK, and .NET to design next-generation cybersecurity and identity management capabilities. You will influence cross-organizational tech decisions, collaborate with group leaders and chief architects, and set the benchmark for resilience, security, and global cloud scale across multiple engineering teams.
Your Impact:
Define the long-term technical roadmap, system design patterns, and architectural evolution for global identity services across the enterprise.
Partner closely with group Leadership, Chief Security Architects, and Product Directors to align business strategy with engineering execution.
Solve the hardest technical, security, and scalability challenges across cloud ecosystems, distributed databases, and high-availability identity backbones.
Establish engineering culture, architectural standards, and security paradigms across multiple development teams and product lines.
Evaluate next-gen cloud capabilities, security mechanisms, and AI/ML integrations to maintain industry leadership.

We are building the next generation of AI-powered investigator tools . Our cloud-based AI platform delivers cutting-edge capabilities including multimodal analysis, embeddings, OCR, speech-to-text, face detection, image and text classification, and LLM completions through a scalable serverless architecture.
As a Senior Software Engineer on the AI Platform team, you will be part of the core team that designs, builds, maintains, and evolves the shared AI service platform that powers real investigative workflows at enterprise scale. You will help turn advanced AI concepts into production-grade serverless systems, shaping orchestration, retrieval, context, and backend architecture across the platform.