לוח משרות דרושים מתכנת Python עבודה היברידית

We are looking for an experienced Python Developer to join our growing DatAdvantage Cloud group. You will be responsible for the server-side of our web applications.
If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you.
As a Back-end developer, youll work closely with our engineers to ensure system consistency and improve user experience.
Ultimately, you should be able to develop and maintain functional and stable web applications to meet our companys needs.
Responsibilities:
Participate in the entire application lifecycle, focusing on coding and debugging
Write clean code to develop functional web applications
Troubleshoot and debug applications
Perform UI tests to optimize performance
Manage cutting-edge technologies to improve legacy applications
Collaborate with Front-end developers to integrate user-facing elements with server-side logic
Gather and address technical and design requirements
Provide training and support to internal teams
Build reusable code and libraries for future use
Liaise with developers, designers, and system administrators to identify new features
Follow emerging technologies

We are seeking a skilled PySpark Backend Engineer to join our expanding team dedicated to developing cutting-edge cybersecurity products from the ground up.
If you possess exceptional programming skills and have a passion for creating new applications or enhancing existing ones, we would love to meet you.
Responsibilities:
Design and implement backend logic using PySpark within Databricks, focusing on data processing using Spark Structured Streaming.
Develop and maintain microservices and backend components in Python and C#, deployed in Kubernetes environments.
Collaborate with product managers and backend teams to translate business requirements into Spark-based logic and services.
Optimize Spark jobs for performance, reliability, and cost-efficiency in a cloud-native environment (Azure).
Own features end-to-end: from refining requirements with product managers, through design and implementation, to deployment and support.

We are looking for a Data Platform Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

We are looking for a Cloud Security Researcher.
Responsibilities:
Research for new security issues/vulnerabilities in Cloud Environments & SaaS Applications
Write proof-of-concept, threat detections, and analytical algorithms
Analyze logs and behavior of user activities on Cloud Environments & SaaS Applications
Hunt threat actors & insider threats
Collaboration with R&D groups within the company to implement your latest research
Evaluate and recommend steps to harden customer's Cloud Environments & SaaS Applications
Optimizing existing algorithms to reduce false positives and increase the value of our products
Writing cyber security oriented blogs and publications
Follow and Evaluate new security threats, attack vectors, and technologies

Join the Workload Availability team as a Software Engineer in Ecosystem Engineering. Your core mission is to safeguard the stability and availability of mission-critical workloads on our OpenShift by developing and integrating robust proactive and reactive remediation mechanisms. You will focus on the complex challenges of node health checking, automated fencing, and self-healing within the cluster, ensuring these critical availability features integrate seamlessly with the diverse ecosystem of third-party hardware, cloud platforms, and infrastructure providers.

What You Will Do

Maintain critical components, controllers, and operators (primarily in Go) responsible for detecting, diagnosing, and automating the recovery of unhealthy cluster nodes on OpenShift.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and software release process using Konflux CI/CD system.

Develop intelligent node mechanisms to accurately determine a node's operational status and trigger the appropriate self-healing or external remediation actions.

Contribute upstream to projects that focus on Kubernetes-native machine and node remediation to advance the platform's self-healing capabilities.

Troubleshoot and resolve complex cross-ecosystem availability and reliability failures, requiring deep debugging into kernel-level behavior, cloud infrastructure APIs, and Kubernetes control plane logic.

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.