דרושים » הנדסה » Staff ML Engineer, Foresight

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
as a data Scientist, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and agentic ai.
advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and ai space.
research, design, evaluate and production deployment of advanced ai/ml models, specializing in llms, rag systems, and agentic ai applications.
explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
collaborate closely with product managers, engineers, and analysts to support feature development and validate ml ideas.
stay up to date with the latest academic and industry trends in ai/ml and apply best practices to real-world challenges.
grow your skills in classic Machine Learning, deep learning, Natural Language Processing ( NLP ), llms and cybersecurity applications.

we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust our company to help secure their most critical assets.
job description
as a staff engineer in the data & ai platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our data and ai ecosystem. you will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
this role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution. in this role you will
lead end-to-end development of high-priority, cross-team features and initiatives in the data & ai platform. design and implement scalable, resilient, and secure distributed systems in a modern cloud environment. drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and ai teams. mentor developers, support their growth, and elevate engineering practices across the group. promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives. evaluate new technologies and guide their adoption where appropriate. collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
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.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

our radar team develops cutting-edge radar technology for autonomous driving (av) and advanced driver-assistance systems (adas). we are looking for a Cyber security architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
in this role, you will define security architecture for radar hardware, Embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mobileyes mission-critical sensing technology.
youll be part of a team shaping the future of autonomous driving. our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale. what will your job look like?
security architecture design - develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
threat modeling & risk assessment (tara) - perform threat analysis and risk assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
secure communication - implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
secure software design - define and enforce security controls for apis, middleware, and integration points between radar systems and other vehicle subsystems.
compliance & standards - ensure radar systems meet iso 21434, unece wp.29, and other relevant automotive cybersecurity regulations.
collaboration with r&d - work closely with radar engineers, Embedded software developers, and system architects to embed security into the design process.
incident response support - provide architectural guidance during security incidents involving radar systems.
technology evaluation - assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us, visit our blogs or follow us on x, linkedin or facebook. job description
the role
we are seeking a senior platform engineer to join our platform team. you will be responsible for building the technical foundation that hundreds of developers will use daily.
your goal is to make kubernetes "invisible" for our developers. you will design and implement the automated machinery-the "paved road"-that enables application teams to move from code to production securely and reliably, without managing the underlying infrastructure themselves.
responsibilities
platform engineering & automation
internal Developer platform (idp): build and maintain our Developer portal, creating a unified "single pane of glass" for service catalogs, self-service actions, and scorecards. k8s core: design, implement, and maintain production-grade kubernetes clusters with a focus on multi-tenancy, security, and high availability. gitops mastery: implement and manage automated deployment workflows using gitops principles (argocd or flux). self-service apis: create abstractions (using tools like crossplane or custom cli tools) to simplify cloud resource provisioning and integrate them directly into idp. Developer experience (devex)
workflow optimization: analyze the Developer 's "inner and outer loops" to identify friction points and automate them away via the idp. standardization: create helm charts, ci/cd templates, and "gold path" configurations that embody best practices for security and observability. technical mentorship: act as a subject matter expert for r&d teams, providing guidance on containerization, microservices architecture, and cloud-native patterns. operational excellence
observability: build comprehensive monitoring and logging stacks (prometheus, grafana, opentelemetry) and surface these metrics within idp to give developers deep insights. security & compliance: implement automated policy enforcement (opa/kyverno) and ensure all platform components adhere to identity security standards. infrastructure as code: maintain 100% of the platform via iac tools like terraform/pulumi/opentofu etc. qualifications
technical

we are seeking for a highly motivated and experienced senior backend Developer to join our group.
as a senior Developer in our group, you will design and build our new high scale, complex, cutting-edge systems built in React & Python running over aws, full ci/cd using cdk. you will enjoy both infrastructure and applicative challenges.
practice all software development life cycle in agile oriented environment
design and implement the infrastructure of the system
research and implement sophisticated Cyber security mechanisms
explore new technologies and tools to keep us using cutting edge solutions
help guide and contribute to feature design and implementation to bring the product to the next level.
participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability and performance qualifications
loves technology and excited about learning new stuff
3+ years of experience in Python /go/node/ruby/ JAVA ( Python is a definite advantage)
desire to use new technologies and understand them in depth
passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
at least 4 years of sw development experience
bachelors degree in Computer Science or engineering related field / technology elite unit alumni with relevant experience

looking for an experienced staff software engineer for our new authentication service. you will be responsible for building this core saas service, built on-top of aws using.net, eks, terraform and other cloud technologies. you will be working with an elite team to produce top-notch services at the highest standards, meeting the high security, stability, and performance standards of the largest enterprises in the world. qualifications
solid experience leading the design, development and delivery of features in saas applications
design and implement the infrastructure of the service
bachelors degree in Computer Science or engineering related field/technology elite unit alumni with relevant experience
7+ years of experience with aws
7+ years of experience in.net core
desire to use new technologies and understand them depth-in
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
autodidact, like to learn new things and share with the team
excellent ability to meet deadlines, while consistently striving for high-quality and efficient solutions good knowledge in containers and container orchestration
experience with development in cloud/saas environment (aws serverless architecture/eks is a definite advantage)
solid understanding of security and high scale best practices
experience with modern ci/cd tools, in particular, github, jenkins, and artifactory
deep understanding of various authentication protocols