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We're looking for a Senior Software Engineer to join our funds flow group and own mission-critical domains powering high-scale financial workflows. You'll work inside an AI-native feature factory, real infrastructure, real tooling, and a team that treats AI as a core part of how software gets designed, built, tested, and shipped.
You'll design and evolve the systems that hold and move every dollar on the platform, virtual and physical account balances, internal funds transfers, and bank reconciliation, building event-driven .NET services where correctness, idempotency and auditability are the product. You'll apply spec-driven design, SOLID principles, proven design patterns and strong automated-testing standards, and help set the bar for what AI-augmented engineering looks like at scale.
We're looking for a collaborative team player with strong ownership and a proactive, innovative mindset, someone who challenges the status quo, drives work to a complete and deterministic finish, and is genuinely excited about what AI-augmented engineering unlocks.
In this role, you will:
Design and build scalable, high-performance microservices in a complex, high-volume financial production environment
Own critical components end-to-end and architect systems that perform under load and support future scale
Lead technical design discussions and influence architectural decisions
Drive spec-driven development with SOLID principles and proven design patterns
Write clean, maintainable, testable code with strong emphasis on unit and integration testing
Improve production quality, observability, and reliability standards
Collaborate closely with Product, DevOps, and cross-functional teams
Lead and mentor engineers, setting high engineering standards
Push the frontier of AI-assisted development - using AI tools hands-on across design, coding, testing, and review to raise the bar on both speed and quality

We are seeking a skilled and adaptable Solution Architect to manage deep technical engagements during both pre-sales and post-sales activities. This role focuses on ensuring smooth deployment, addressing post-sales technical challenges, and delivering long-term value to customers by leveraging our advanced cybersecurity solutions.
Responsibilities
Build and maintain strong relationships with customers, serving as their trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including Research and Development (R&D) and Product, to align solutions with customer needs.
Assist in the technical aspects of Proof of Concepts (PoCs) and lead pre-deployment readiness.
Drive post-sales success by solving complex technical issues, and implementing solutions in collaboration with customer and internal teams.
Proactively identify and communicate opportunities for improving customer security posture through solution enhancements and integrations.
Conduct technical training sessions for customer teams to ensure seamless adoption and effective use of our platform.
Stay informed about the latest trends and technologies in cybersecurity, networking, and AI to provide cutting-edge solutions to customers.

Required Lead Backend Engineer
About the Role:
As a Senior Backend Engineer on the Exchange Engine team, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.
Key Responsibilities:
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.
Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.
Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.
Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.
Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.
Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).
AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

We are seeking an experienced Head of Product & Technology to lead our overall product strategy, technical architecture, and software delivery.

This is a hands-on, dual-function leadership role reporting to the CEO

In this role, you will bridge the gap between business vision and engineering execution, own the formal product roadmap, oversee offshore software development partners, and drive the modern evolution of our tech stack and agile project management frameworks.

The ideal candidate has a proven track record in Product management for enterprise-grade platforms. Strong hands-on architecture experience in enterprise software, a deep understanding of IT security baselines, and a proven track record of managing technical teams and delivery workflows.

Key Responsibilities:

Product Vision & Strategic Road mapping:
Establish a formal, documented product roadmap process with clear milestones, timelines, and business priorities.
Translate enterprise customer feedback, market trends, and security compliance updates (e.g., CIS benchmarks) into actionable product backlog items.
Define governance and strategic frameworks to ensure alignment across leadership, engineering, and customer success teams.

Technical Leadership & Delivery Management:
Oversee the architectural design and maintainability of our software suite.
Manage and hold external/offshore development resources accountable to timelines, technical quality standards, and secure coding practices.
Lead major technology modernization initiatives, such as the replacement of our current end-point architecture.

Agile Process & Governance:
Adopt, roll out, and standardize centralized project management tooling (e.g., Jira, Azure DevOps, or GitHub Projects) across internal and external teams.
Formalize technical, deployment, and architectural documentation to remove knowledge silos and streamline future team transitions.

Cross-Functional & Customer Alignment:
Partner with Customer Engineering and Professional Services to ensure seamless product implementation in enterprise, non-internet-connected environments.
Serve as the executive technical liaison for high-tier enterprise customer escalations and security architecture discussions.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

Were looking for a Director of Engineering Security to join our organization and lead multiple engineering teams building the next generation of secuirty products.
This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.
Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.
What Youll Do:
Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

Who We Are
We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered.
The Role:
As a Senior software engineer, youll design, develop, and deploy robust software systems across our platform. Youll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to Machine Learning. The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.
Who You Are:

* A product-minded engineer who loves solving problems at scale
* Comfortable owning full systems - from architecture to deployment
* Passionate about writing clean, maintainable code with an eye on the end user
* A collaborative team player who mentors generously and learns continuously
* Curious, thoughtful, and excited by a fast-moving environment
What Youll Actually Be Doing:

* Design, build, TEST, and deploy backend systems for high-scale financial applications
* Lead architecture reviews and drive decisions across technologies and platforms
* Write well-tested code and review peers work for quality and clarity
* Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
* Own and improve development lifecycles including CI/CD, observability, and cloud automation
* Debug production issues and lead efforts to ensure system reliability and uptime
* Contribute to internal documentation and onboarding processes
* Participate in a Tier 2/3 on-call rotation to support business-critical systems
* Build and evolve the platform that lets teams create, evaluate, deploy, and operate agent-based systems, and bring coding agents into daily engineering work.

Why Youll Love Working Here:

* Flexible hybrid model: 3 days a week in the office - A must
* 1,000 net monthly wellness benefit - from therapy to Pilates to your kids art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact
Next Step:
Hit apply!

We are looking for a strong C++ / Python Software Developer to develop innovative software solutions in C++, Python, and C#.
In this role, you will own and develop an SDK that sits at the heart of our animal-monitoring products. This is a high-impact, cross-platform role, working closely with algorithms and turning computer-vision and inference capabilities into a reliable, well-documented developer platform.
We are looking for an engineer who cares about architecture, clean interfaces, performance, and long-term maintainability, with the ability to think fast, be innovative, work well as part of a team, and continuously learn.
Responsibilities:
Design, develop, test, and maintain the SDKs C++ core and its Python bindings, with a focus on performance, stability, monitoring, and a clean public API.
Package and distribute the SDK with semantic versioning and reproducible builds across platforms.
Collaborate with algorithm, product, and application teams to gather requirements, translate them into technical designs, and implement them.
Write and maintain unit and integration tests and build tooling that keeps the SDK reliable as it grows.
Conduct code reviews, identify and fix bugs, and continuously improve performance and code quality.
Write clear technical documentation and examples so that other developers can adopt the SDK quickly.
Work in an Agile environment, research independently, think outside the box, and drive problems through to solutions.

We're looking for a talented IT Infrastructure & Cloud Engineer who will be responsible for our IT and Cloud corporate infrastructure.
You will be suggesting, implementing and deploying new solutions together with maintaining the existing infrastructure, assuring that all our systems are in optimal condition, providing the best service to our clients.
Responsibilities
Be responsible for requests from the field, related to our global corporate on-premise and cloud infrastructure. This includes servers, storage appliances, active network equipment, firewalls, cloud services, cloud automations, CI/CD and other initiatives.
Design and oversee the integration of core services and platforms such as AWS, Google Cloud and Workspace, Okta, Cloud Backups, Zero Trust Network Access (ZTNA), Secure Web Gateway, Cloud-based EDR and other cutting-edge technologies.
Spearhead the strategy, implementation, and governance of GenAI tools and platforms across the company, focusing on process improvement, building internal AI agents, and driving organizational AI transformation.
Lead the architectural design and deployment of scalable, reliable, and secure corporate infrastructure, emphasizing Infrastructure as Code (IaC) principles to manage on-premise and cloud environments
Define network policies and procedures, including design, planning network new communication systems and monitoring to allow high quality service for our global offices.
Collaborating with our security team to implement technology and security policies, safeguarding our systems and data from potential threats.

We're looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will build the company data platform: cloud-based microservices and data pipelines that process on the order of 1M records/sec at low latency. Because the platform is the foundation other groups build on, your work has a direct impact on our customers and enables engineering, product, and research teams across the organization.
The Lakehouse team owns the data itself - how it is stored, organized, retained, and served. We own our analytical storage layer, the batch processing built on top of it, and the APIs through which customers and the rest of the company consume data. If you enjoy the problems that only appear at petabyte scale - physical data layout, query performance, storage cost, and retention - this is the role.
Responsibilities:
End-to-end ownership of our large-scale analytical storage layer: data modeling, schema and table design, partitioning, retention, and query performance.
Design and develop the batch processing layer over our data lake using Spark on EMR (Java and PySpark).
Build and evolve Java/Spring Boot services that expose our data through well-defined APIs to customers and to consumers across the company.
Own performance and cost: query optimization, file layout and compaction, cluster sizing, and storage efficiency at scale.
Research new technologies in the lakehouse and analytical-storage space and adapt them for use in our product.
Work closely with product, DevOps, and security teams.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.

Palo Alto Networks is looking for a seasoned and accomplished Software Engineer to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be part of the Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across hybrid and SaaS landscapes.
Key Responsibilities
Drive Strategic Vision: Contribute to and execute the long-term roadmap for our Identity solutions, ensuring our tech stack evolves alongside industry best practices and global business goals.
Lead Innovation: Research and develop cutting-edge technologies to solve the "Identity Perimeter" problem, turning complex security research into tangible product features.
Architect Scalable Solutions: Design and implement robust, secure architectures capable of managing identities across fragmented SaaS and on-premise ecosystems at enterprise scale.
Foster a Culture of Excellence: Engage in a high-caliber engineering environment through mentorship, collaborative code reviews, and a shared commitment to continuous technical growth.
Collaborate Cross-Functionally: Partner with Product, Platform, and DevOps teams to bridge the gap between complex security requirements and seamless user experiences.
Own Your Career Path: Take on high-impact initiatives and leadership opportunities tailored to your experience level, with access to the resources needed to become a subject matter expert in Identity Security.

This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it!

What you'll be doing:

Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team.

Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return.

Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast.

Drive AI-enabled automated self-service - the 3S Copilot, our MCP integrations, runbooks and docs - so the region can unblock itself without waiting for any time zone.

Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues.

Partner closely with the US and India teams, and with Networking DevOps and release management in Israel.

Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.