לוח משרות דרושים מתכנת Python במרכז

We are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

What you'll do​
Design and build an infrastructure to correlate multiple data sources and matching methods.
Research and develop algorithms for asset discovery , and solve complicated identification issues.
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues with our solutions and platform.

Your role as a Software Engineer will be critical to the companys success. You will build a robust infrastructure integrated with the platform to acquire network insights. You and the team will design, develop, and maintain out-of-the-box modules, algorithms, and extensions while working with highly talented engineers.

What you'll do
Develop and maintain integrations with various network devices and Network Management Platforms.
Develop and maintain infrastructures that support integrations products, process them, store them, and expose them to the rest ot the system.
Integrate with the platform and be a key player in its design and development.
Develop extendable libraries and utilities that will speed up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Senior Software Engineer - AI , youll design, build, and own production grade AI agents that operate at the core of cloud security platform. Youll work on distributed, cloud native services that embed agentic AI workflows into existing microservices architecture.
This role goes beyond building AI logic: youll be responsible for operating AI systems in production, ensuring they are observable, reliable, and continuously improving through systematic evaluation and data driven iteration.
On a typical day youll:
Design and implement cloud-native, distributed services that power AI-driven security features
Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple internal services
Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization
Implement observability for AI systems, including metrics, logging, tracing, and alerting for agent behavior, quality, latency, and cost
Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
Lead services end to end - from design and implementation to deployment and long-term operation
Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy

Were looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Team Lead on the Data Platform, youll guide one of most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across architecture.
Youll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, youll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.
Were looking for an experienced Team Leader eager to make a foundational impact on next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across Orcas architecture.
Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across Orca. Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS

Required Computational Linguist (NLU)
If youre the one - youll be working on the most incredible sales-assistant in the industry.

abra R&D is looking for a Backend Developer We are looking for a Backend Developer Responsibilities
* Backend development in ‎.NET‎ and Python.
* Development of internal infrastructure tools (Infrastructure / SLA Tools).
* Working on complex systems and solving deep technical challenges.
* Collaboration with other development teams within the organization.
* Full responsibility for building, deploying, and maintaining tools used by developers.

As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure - enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.

Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

As a Senior DevOps Engineer, you will be a key contributor in designing, implementing, and optimizing our cloud-native DevOps infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure, enabling us to stay at the forefront of our industry.

Responsibilities
Cloud-Native Strategy: Develop and implement a cloud-native strategy, leveraging AWS, serverless, and other cloud-native technologies, to enhance application resilience and scalability.
Container Orchestration: Lead efforts to manage container orchestration platforms (e.g., Docker) and establish best practices for containerization and microservices.
CI/CD Pipeline Optimization: Enhance and automate our CI/CD pipelines to enable rapid and reliable software delivery, incorporating industry best practices and tools.
Infrastructure as Code (IAC): Drive the adoption of IAC principles and tools (e.g., Terraform, Ansible) to manage infrastructure provisioning, monitoring, and security.
Collaboration: Collaborate closely with software engineers to solve complex problems and drive continuous improvement.

The Cellular group is looking for an extraordinary Systems and Algorithms engineer with extensive experience in signal processing and AI development to develop and drive pioneering technologies for our products. As part of the team, you will work on the recent cellular technologies, LTE, 5G, and 6G, to develop solutions on the cellular Modem, focusing on AI-based solutions. You will have the chance to be part of an exciting development process that brings new solutions to life in groundbreaking areas of cellular chip development, which is a key part of our products.

Leading role in developing systems and algorithms for Cellular modems:

Advanced modulation and demodulation techniques, channel estimation and tracking, radio impairments compensation, and more.

Multidisciplinary problem-solving, development of classical and data-driven algorithms with end-to-end simulation.

Present your work effectively to engineering and executive management.

Were looking for a Backend Developer to join our team and play a key role in shaping our product. You'll be responsible for building, optimizing, and scaling our platform using a modern tech stack.
What Youll Do:
Own the end-to-end design and implementation of features
Take full responsibility for projects, from conception to post-deployment, in a fast-paced, collaborative environment.
Improve the scalability and performance of our platform as we grow.
Handle the entire development cycle, including architecture, design, development, and deployment.

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.