דרושים » תוכנה » Staff Backend Engineer - Accounts

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

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

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.

We create solutions used by both technical and non-technical users to manage, deliver, transform, and collaborate on media assets throughout their lifecycle, through both API and UI.
We take full ownership of what we build, from shaping solutions and making technical decisions to delivering production-ready capabilities with real customer impact.
We are a collaborative, proactive, and product-minded team, with members based in Israel and Poland, working primarily in English.
What Youll Do
Build impactful backend solutions - Design and develop scalable services and infrastructure that support core product capabilities, with a strong focus on reliability, simplicity, and business impact.

Own features end to end - Work closely with product managers and engineers to take ideas from design through implementation, deployment, and ongoing improvement.

Work across a modern backend stack - Develop and operate services using technologies such as AWS, Terraform, Go, and Ruby-based backend systems in a cloud-native environment.
Leverage AI-assisted development tools - Use AI coding tools to their full potential in day-to-day development, and help drive best practices around how the team adopts and works with these tools effectively.
Maintain high engineering standards - Write clean, scalable, maintainable code and contribute to thoughtful architectural decisions that align with broader platform goals.
Improve and evolve the system - Identify opportunities to enhance performance, developer experience, and product capabilities, including the adoption of new tools and approaches where they create value.

company description
 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
we help protect the most critical assets of the worlds leading organizations. we are a global leader in identity security, providing cutting-edge security solutions for any identity - human or machine - across business applications, hybrid cloud workloads and throughout the DevOps lifecycle.
what will you do:
we are looking for an experienced software engineer for our new generation dv(digital vault) saas product.
we are looking for a senior software engineer to join our team. you will be responsible for building core saas offering products, built on-top of aws serverless stack, using Python, cdk and other cloud technologies.
you will work with smart (but humble) team members (developers, architects, DevOps, QA ), everyone working together to produce top-notch services at the highest standards - from planning to production.

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
we are looking for a bright, talented senior devex platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. this role is focused on development flow productivity and building application infrastructures and tools to handle the challenges of hyper-growth and application scale.
you will design, implement, and deploy products and infrastructures that directly increase our stability and quality while reducing our time to market.
what you will do:
Developer platforms: design and develop solution-oriented enterprise DevOps platforms and tools to improve the Developer experience.
velocity & quality: create solutions to increase r&d velocity, reduce lead time, and improve overall product quality.
saas infrastructure: plan, design, and develop company's saas infrastructure, operation engine, and deployment strategy.
ci/cd & security: develop and adopt new technologies to improve ci/cd pipelines, utilizing a devsecops "shift left" approach to introduce security early in the cycle.
troubleshooting: perform platform and service troubleshooting across various applications, domains, and platforms.

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

As a Senior Media Processing Backend Engineer, youll be part of Image team, working side by side with frontend and backend engineers. Youll contribute to feature development, code maintenance, and the operation of hundreds of production cloud servers.

The team is responsible for the core of main product. This includes the image transformation engines that process billions of requests per month (thousands of requests per second) and support all applications. Trusted by the worlds largest brands, our systems deliver high-fidelity media through flexible transformations with low bandwidth consumption and minimal latency.
Responsibilities
Develop and maintain main transformation services in Ruby on Rails.
Optimize system workload, time, and cost.
Develop custom transformations using building blocks from the research group, open source, or commercial solutions.
Contribute to the ongoing development of our Deep Learning platform, mainly in Python.
Provide 2nd-tier support for our code and participate in team and company-wide on-call rotations.
Address internal customer inquiries and complex questions.
Maintain and update image processing pipelines, including open source, commercial, and in-house. Mainly C++
Technologies
Youll develop in Ruby on Rails, C++, Python, Go, Typescript, and a bit of Rust, leveraging AWS, Kubernetes (EKS), and Lambda infrastructure.
You will work closely with both in-house and open-source processing tools, such as FFmpeg and ImageMagick.

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

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.