לוח משרות דרושים מהנדס תוכנה בכיר בפתח תקווה, לחיפוש זה נמצאו 51 משרות

We are building the core infrastructure and operating system for autonomous platforms.
Our platform enables real-world autonomous operations by coordinating drones, docking stations, edge systems, operators, and external systems in real time. It serves as the operational backbone for mission execution, command and control, communication, telemetry, orchestration, and fleet coordination across distributed autonomous environments.
This is not a typical backend role.
You will work at the intersection of distributed systems, Command & Control (C2), autonomous platforms, and real-world operations.
We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.
You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.
The platform includes:
Command & Control capabilities for autonomous systems
Fleet orchestration and mission lifecycle management
Real-time communication between distributed autonomous components
Modeling and management of operational entities, states, and relationships
Telemetry, video, and operational data processing
Device interoperability across heterogeneous autonomous platforms
SDKs and APIs for platform integration and extensibility
AI agents and intelligent automation interacting with operational systems
As a Senior Engineer, you will help shape the technical foundation and domain architecture of the platform while solving complex problems across distributed systems, autonomous operations, and Command & Control.
Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient.

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.

We are building the core infrastructure and operating system for autonomous platforms.
Our platform enables real-world autonomous operations by coordinating drones, docking stations, edge systems, operators, and external systems in real time. It serves as the operational backbone for mission execution, command and control, communication, telemetry, orchestration, and fleet coordination across distributed autonomous environments.
This is not a typical backend role.
You will work at the intersection of distributed systems, Command & Control (C2), autonomous platforms, and real-world operations.
We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.
You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.
The platform includes:
Command & Control capabilities for autonomous systems
Fleet orchestration and mission lifecycle management
Real-time communication between distributed autonomous components
Modeling and management of operational entities, states, and relationships
Telemetry, video, and operational data processing
Device interoperability across heterogeneous autonomous platforms
SDKs and APIs for platform integration and extensibility
AI agents and intelligent automation interacting with operational systems
As a Senior Engineer, you will help shape the technical foundation and domain architecture of the platform while solving complex problems across distributed systems, autonomous operations, and Command & Control.
Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient

Palo Alto Networks is looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of Palo Alto Networks' SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

We are seeking a Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

We are looking for a Director of Product Management to lead a team of product managers building the foundational intelligence and threat engine for the entire IDIRA platform. This is a core platform leadership role whose scope spans Discovery, Context & Risk, and Threat Detection & Prevention (ITDR). Your teams capabilities will serve as the shared "brain" driving success across all IDIRA solution pillars-including PAM, IAM, Endpoint Privilege Management (EPM), Non-Human Identities (NHI), and Agent Infrastructure.
In this role, you will define, design, and ship industry-defining platform capabilities that discover unmanaged assets and shadow identities, compute real-time risk, and detect and prevent active privilege threats across every layer of the enterprise.
Key Responsibilities
Enterprise-Wide Platform Leadership: Lead and grow a high-performing group of Product Managers building shared capabilities that directly power and elevate all IDIRA product lines (PAM, IAM, EPM, NHI, and Agents).
Product Execution & Delivery: Oversee the entire product lifecycle-from gathering CISO and security practitioner feedback to defining requirements, prioritizing trade-offs, and partnering closely with Engineering to ship a unified roadmap.
Platform Vision & Strategic Horizons: Expand IDIRAs Discovery, Risk, and Threat Intelligence capabilities by introducing innovative, disruptive approaches (e.g., Identity Graphs, AI-driven behavioral modeling, and automated response workflows) that turn disparate telemetry into real-time security context.
Cross-Functional Collaboration: Partner effectively across a global organization-working closely with Engineering, Data Science, Threat Research, Sales, Customer Success, and counterpart PM leads across PAM, IAM, EPM, and NHI to ensure seamless platform integration.
Domain Expertise: Deeply understand Identity, Endpoint, SecOps, and ITDR practitioners, translating complex identity exposure, agent telemetry, and threat signals into intuitive, actionable workflows.
UX/UI & Visualization: Work closely with UX/UI design leaders to create state-of-the-art, highly intuitive user interfaces and visualizations (such as cross-domain attack path analytics and unified risk scoring dashboards).
Go-To-Market & Executive Advocacy: Act as a key platform spokesperson, presenting IDIRA's platform risk, discovery, and threat vision to enterprise customers, strategic partners, and industry analysts (Gartner, Forrester).

our company seeks an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.

Responsibilities
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement - if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.

We are looking for a talented, experienced, and passionate engineer to join the Idira EPM Agents group as a Developer. This role involves working on EPM, a combined solution for application control, privilege management, and threat detection, within a highly talented, cross-functional, agile-oriented development team. The ideal candidate will demonstrate high professional skills, a team-player mentality, and a continuous drive for new knowledge and excellence.
Key Responsibilities
Deep dive into complex system areas to analyze, propose, and build effective solutions.
Own and maintain code at the highest quality and security standards, including developing unit tests and automation.
Collaborate effectively within a cross-functional, agile development team.
Demonstrate excellent design, analytical, and problem-solving capabilities.

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 (AWS, GCP, or Azure) 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 Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

We are seeking a Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

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.