לוח משרות דרושים מתכנת Python

We are looking for a Senior Full Stack Engineer.
As a Senior Full Stack Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones
. Your primary responsibility will be to successfully implement high quality and efficient FE and BE software tasks, and continuously develop new features and capabilities for our up-to-date response to new drones, while collaborating with our sensor logic engineers.
This includes coding/understanding our node and react codebases, which serve a plethora of products.
In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are looking for a Senior DevOps Engineer.
As a DevOps Engineer in the KubeOps team, you'll specialize in Kubernetes infrastructure management and operations.
You'll design, implement, and maintain our Kubernetes ecosystem at scale.
In your day-to-day, you will:
Design, implement, and operate production-grade Kubernetes clusters on AWS.
Architect and maintain highly available and resilient Kubernetes infrastructures.
Manage infrastructure of Kubernetes from different flavors on top of AWS cloud at scale.
Use your expertise in Linux and networking fundamentals to enhance system performance, security, and reliability.
Implement and maintain Infrastructure as Code (IaC) practices to ensre consistency and efficiency in deployment processes.
Troubleshoot and resolve complex issues related to cloud infrastructure and services.

Join our Partners Data Team as a Senior Data Engineer and take on the challenge of designing, implementing, and maintaining critical data pipelines. You'll play a key role in ensuring data integrity and accessibility, enabling our teams to drive strategy and optimize partner experiences.
In your day-to-day, you will:
Design and implement data pipelines, ensuring the seamless flow of information into our data warehouse.
Develop scalable solutions to address data gaps and process design needs.
Monitor data pipeline performance, troubleshoot issues, and guarantee data infrastructure availability.
Collaborate with analysts and product managers to align data models with business priorities.
Engage with a diverse group of stakeholders, including data engineers, analysts, and data scientists, to support data-driven decision-making.

We are looking for a DevOps Engineer.
As a DevOps Engineer at Media Platform group, you'll manage and monitor our cloud-based environments, handling data for over 220 million users and 500 million web-sites. Your main objectives will be automating operations, maintaining production systems, managing scalable web applications, and implementing stringent security measures. In your day-to-day you will:
Build multi data-center architecture with hundreds of servers.
Quickly identify and resolve infrastructural bugs.
Get a chance to work with virtually all aspects of our rapidly-developing infrastructure.
Drive the success of our systems advancements, cooperating with the development, support and QA teams.
Leverage technologies like Kubernetes, GKE, Python or Golang, Linux, shell scripting, Github Actions, ArgoCD and Terraform to achieve goals.

We are looking for a Business/Data Analyst.
Job Description:
Own the design of data models that transform raw data into actionable insights, and define their strategic use to inform decisions that fuel growth and optimize marketing strategies.
Leverage technical skills to work with vast amounts of data, establish measurement frameworks, and analyze results to align activities with north star objectives and identify areas for growth.
Conduct funnel and behavioral analyses, research key metrics, and extract actionable insights to enhance user journeys and uncover new opportunities
Collaborate with teams across Marketing to understand business needs, translate them into data solutions, and align efforts with strategic goals.
Create and execute A/B tests, evaluate results with statistical rigor, and provide deeper insights from detailed analysis to inform ongoing optimization.
Build automated tools, design dashboards, and empower stakeholders to track and understand key metrics, making data both accessible and actionable for strategic decision-making.

As DevOps engineer in R&D department, you will be hands-on responsible for building and maintaining the artifacts of our core products and play a pivotal role in shaping the future of our deployment infrastructure and processes. Your responsibilities will include:

Managing continuous integration (CI) processes with a strong emphasis on Jenkins, ensuring smooth, automated workflows for software delivery.
Developing and maintaining deployment solutions across various cloud platforms, primarily On Premise, as well as AWS (Amazon Web Services) and Azure, ensuring scalability and reliability.
Collaborating with cross-functional teams to integrate network and system-level solutions into our deployment processes, enhancing overall efficiency and security.
Leveraging your Windows and Linux knowledge to maintain a diverse and robust installation process.
Actively participating in the full R&D agile team cycle, contributing to both individual and team growth.
Implementing and managing configuration management and CI/CD processes, focusing on automation and optimization.
Ensuring the security, stability, and performance of our products meet the highest standards.

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 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 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.

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/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

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/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

As the Team Lead, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail youll also be responsible for building and leading a high-impact engineering team from the ground up.

This is a unique opportunity to be part of a start-up inside the company, delivering the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.

We are looking for a highly skilled and experienced Senior Software Engineer with strong backend expertise in Python, hands-on knowledge of modern frontend frameworks like React, and cloud-native development using serverless architectures. The ideal candidate thrives in production environments, has a strong technical orientation, and enjoys contributing across the full stackincluding infrastructure and cross-solution integration tasks.

Design, develop, and maintain scalable backend services using Python
Build responsive and maintainable user interfaces using React
Work with cloud-native serverless technologies in AWS
Collaborate across teams on cross-solution tasks, including Terraform infrastructure integrations, CI/CD improvements, automation, and shared code tooling
Contribute to production excellenceengaging in error analysis, observability, monitoring, and incident response
Utilize monitoring and observability tools such as Datadog and AWS CloudWatch
Champion DevSecOps practices, enforcing security in code, infrastructure, and deployments
Stay current with emerging technologies, proactively propose improvements, and present PoCs or demos to stakeholders
Foster a culture of knowledge sharing, code reviews, and continuous improvement

our Civil Department is responsible for designing and delivering mission-critical systems that support energy, utilities, smart infrastructure, and more. We are looking for an Architect to join our high-impact team and work closely with the Architect, Dev team leader & DevOps team leader to shape and scale innovative platforms in production environments. Role Overview As a Senior Architect at mPrest, you will write and lead design efforts across multiple projects, working at the intersection of software architecture, cloud-native infrastructure, and Real-Time data systems. You will guide cross-functional teams, influence technology strategy, and be hands-on in both design and decision-making.
Responsibilities:

* Work side-by-side with another Architect to define system architecture, integration strategies, and technical roadmaps.
* Take POCs from idea to deployment with minimum risk and maximum impact, ensuring business alignment and technical viability.
* Lead high-level and detailed design of complex distributed systems using Kubernetes JAVA Python.NET Core, and.NET Framework Write high-level and detailed level design documents.
* Drive architectural best practices, security by design, scalability, and maintainability across projects.
* Collaborate with DevOps, backend, frontend, QA teams to ensure alignment between infrastructure and application layers.
* Participate in architecture reviews, threat modeling, and design validation activities.
* Support the development of internal tools, accelerators, and reusable services across the mPrest platform.
* Take part in customer-facing discussions, architecture presentations, and requirement refinement sessions.
* Mentor engineers and promote a strong engineering culture based on ownership, quality, and continuous improvement.

We are looking for a Security Production Engineer.
As a Security Infra Engineer, youll design, build, and manage security aspects of our cloud-based and physical environments to ensure compliance and integrity.
In your day-to-day, you will:
Design, implement, and maintain platforms for investigating and analyzing security incidents, performing root cause analysis, and coordinating remediation efforts.
Design, implement, and maintain security tools and controls for cloud-based infrastructure, Kubernetes clusters, and services, ensuring compliance with industry standards.
Build tools and scripts using Golang, Python, or Node.js.
Collaborate with all infrastructure groups (cloud, networking, DB, DevEx, etc.) and the Chief Information Security Officer group (for example, for incident response).
Align with other infrastructure standards, including efficiency, reliability, and cost.
Work closely with cross-functional teams to design, implement, maintain, and manage security solutions that ensure the integrity and confidentiality of our systems.

We are looking for a Research Scientist - AI.
As a Research Scientist - AI, you will have a direct impact on the company's innovation and success, playing a crucial role in advancing our core AI capabilities.
As part of your role, you will:
Conduct cutting-edge research and develop novel AI algorithms, with a focus on Large Language Models (LLMs), Vision-Language Models (VLMs), and Retrieval Augmented Generation (RAG) techniques.
Design, implement, and evaluate deep learning models for various applications, including advanced computer vision tasks.
Contribute to the entire research lifecycle, from theoretical exploration and experimental design to proof-of-concept development and integration into our products.
Collaborate closely with cross-functional teams, including engineers and product managers, to translate research prototypes into robust and scalable solutions.
Stay abreast of the latest advancements in AI research, contributing to publications and internal knowledge sharing.