דרושים » תוכנה » מתכנת Python

We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

Responsibilities:

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.

We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

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.

We are looking for a DevOps Team Lead to join our Application team.
This is a hands-on leadership role combining people management and technical expertise. You will lead a team of DevOps engineers, shape infrastructure strategy, and ensure high availability, scalability, and performance of our systems.
You will work closely with development teams, product managers, and security to define and deliver infrastructure solutions and CI/CD pipelines that accelerate development while maintaining the highest standards in security and reliability.
Roles and Responsibilities:
Lead, mentor, and grow a team of skilled DevOps engineers.
Define team goals, drive execution, and support professional development.
Own and evolve our CI/CD infrastructure to support rapid and safe delivery of code to production.
Collaborate with developers to improve build and deployment processes.
Ensure observability, monitoring, and alerting systems are effective and actionable.
Manage cloud infrastructure (primarily in AWS) using infrastructure-as-code (Terraform).
Take an active role in writing and reviewing Python code to support infrastructure tools and internal automation.
Maintain high standards for automation, code quality, and security practices.
Promote a culture of ownership, continuous improvement, and cross-team collaboration.
Manage cloud cost optimization as part of FinOps responsibilities.

we are seeking a Principal Quality Infrastructure Architect to own the strategy, design, and evolution of our company-wide automation infrastructure and quality-engineering toolchain. You will define the long-term vision for automation strategy and quality-related tooling in a complex, fast-moving CI/CD environment. Partnering with R&D leaders across geographies, you will gather requirements, run proofs of concept (POCs), and produce designs that turn innovative ideas into productized, company-wide solutions.

Key Responsibilities

Set strategic direction Craft and socialize a multi-year architectural roadmap covering test-automation infrastructure, quality analytics, and developer-focused tooling.

Define and evolve the golden path Select, customize, and maintain core quality tools while continuously refining the standard automation approach adopted across CyberArk.

Hands-on architecture & design Design and prototype new automation frameworks; create detailed design documents and work closely with the dedicated automation-infrastructure engineering team to implement them.

Cross-team enablement Engage with development teams at all levels to identify gaps, drive adoption of CI/CD automation, and let engineers focus on business value.

Serve as SME & mentor Act as the subject-matter expert for automation frameworks; lead knowledge-sharing sessions and foster collaboration among QA architects and automation engineers.

Lead quality initiatives Investigate and spearhead cross-group efforts such as data-population utilities, performance benchmarking, and observability improvements.

Research & innovation Evaluate AI/ML-based test generation, self-healing locators, and autonomous-triage solutions; pilot and productionize when business value is proven.

We are looking for a versatile and innovative Attack-oriented Cyber Researcher to join our R&D team and become part of the revolution. You will conduct state-of-the-art research across multiple environments, ranging from Windows internals and kernel-level security to cloud platforms like AWS, Azure, Web technologies, etc' to stay one step ahead of real threat actors.
Your findings, your code and attack tools will feed directly into our automated attack platform, enhancing its capabilities with new offensive techniques and AI-powered decision-making algorithms.
Roles and Responsibilities:
Perform in-depth research in multiple areas such from AV/EDR evasion, binary exploitation, vulnerability discovery, and subversion of communication channels across both OS-level, domains, cloud-native domains, external surfaces.
Integrate research outputs into production-grade attack functionalities within our automation ecosystem.
Architect and develop AI-driven decision-making modules that enable the platform to mimic experienced attackers, making real-time choices during automated operations.
Develop production-ready attack capabilities using whatever technologies are necessary, Python, C/C++, C#, Java, Office Macros, Bash, PowerShell, Go, Ruby, Assembly, etc.
Mentor and collaborate with fellow R&D team members, fostering a culture of innovation and continuous learning.

We are looking for a Staff Backend Engineer - AI moderation.
What Youll Do:
Lead and Deliver End-to-End: Develop core systems of the full stack moderation platform across both backend and frontend.
Ship Fast, Ship Smart: Work quickly and clearly toward customer and business goals. Deliver functionality iteratively while keeping the big picture in focus.
Set the Technical Foundation: Make architectural decisions that scale. Use the right tools, not just trendy ones. Leverage code generation and LLM-assisted development where helpful - but keep it on a leash. Set up and maintain CI/CD pipelines to keep the team fast and safe. Lean on existing infrastructure where it makes sense, so you can move faster without reinventing the wheel.
Elevate Quality and Standards: Clean code, modular design, and sustainable engineering practices all thats needed to build a secure, scalable stack.
Drive Innovation and Practicality: Balance creative ideas with real-world execution.