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Required Linux Systems Engineer
As a Linux Systems Engineer, you will:
Be in charge of effective provisioning, installation, configuration and maintenance of complex IT systems (hardware, software, cloud and all related infrastructure) across Linux and Windows
Design, implement and manage Linux and Windows based systems, ensuring they run smoothly
Monitor the system daily, enhance system performance, ensure high availability and reliability and respond immediately to security or usability concerns
Provide technical support for both hardware and software issues encountered by users
Automate routine tasks and processes with popular scripting languages, particularly using Ansible and Python
Collaborate with the team to define needs, benefits, technical strategy, analysis and design to ship new features and maximize system efficiency
Implement security measures to safeguard information against accidental or unauthorized damage, modification or disclosure
Efficiently use Linux and Windows consoles for system administration tasks.

we are looking for a GCP Cloud Hunter.
What You'll Do:
Become a GCP sales guru: Deepen your expertise in Google Cloud Platform and identify high-value opportunities for Sela's cloud and managed services.
Hunt new logos relentlessly: Prospect, qualify, and convert leads into loyal Sela customers, building a strong sales pipeline and exceeding quotas.
Forge strategic partnerships: Collaborate closely with Google's FSRs to leverage their insights and develop winning cloud solutions for clients.
Own your deals, A to Z: From initial contact to closed deal, you'll manage the entire sales cycle with confidence and expertise.
Become a trusted advisor: Provide ongoing support to a select group of strategic accounts, ensuring their continued success on GCP.

we are looking for a .Net Developer.

we are looking for a Automation tech lead.

we are looking for a C++ Tech Lead.
About the Role:
Be part of fascinating and challenging projects with multiple and complex interfaces!

we are looking for a C++ Tech Lead.
About the Role:
Be part of fascinating and challenging projects with multiple and complex interfaces!

we are looking for a DevOps AWS engineer.

we are looking for a Backend Engineer.
What youll do:
Own and develop products and features end-to-end - from design to production
Solve diverse, complex problems at a large scale
Collaborate with Product Managers and Software Engineers to deliver value to customers
Analyze and improve performance, scalability and stability of products, environments and tools
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale

we are looking for a Cloud Architect.
As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

We're building our company's Cyber Threat Intelligence platform - a system that harvests, contextualizes, and serves threat intelligence at scale. This includes AI-powered Copilot experiences, analyst-facing dashboards, and the services that connect them. We're looking for a versatile Full-Stack Engineer to own features end-to-end, from backend services to the UI that puts intelligence in analysts' hands.
You might be stronger on the frontend or backend - that's fine. What matters is your ability to work across the stack, take ownership of entire features, and ship with autonomy. You'll collaborate closely with product, UX, and CTI researchers to translate complex data into intuitive experiences, all within a fast-moving environment with short development cycles.
Responsibilities
Own features end-to-end - from data layer to UI -delivering complete solutions that serve real analyst workflows.
Build core components of the CTI platform, including AI Copilot experiences, dashboards, and data visualization tools.
Develop backend services and APIs that process and expose threat data to client applications.
Craft responsive, maintainable frontend experiences using Vue, TypeScript, and modern tooling.
Collaborate with product and UX to translate requirements into well-designed, documented solutions.
Drive engineering best practices across the stack - code quality, testing, and maintainability.

Were looking for a Data Engineer who wants to own the full pipeline: from raw event ingestion through distributed processing and into the serving layer that powers our clients dashboards and APIs. This isnt internal tooling - youll be building the actual product surface that advertisers and marketers rely on to understand whats working on the web.
As AI reshapes how data is processed, queried, and served, youll also have the opportunity to integrate AI and LLM-based capabilities into our data workflows - from intelligent data validation and anomaly detection to AI-powered analytics interfaces that make our platform smarter for clients.
What youll do:
Build & Own End-to-End Pipelines: Design, build, and optimize data pipelines that process billions of web events (sessions, in-app events, conversions) with strict freshness and accuracy SLAs. Youll work across the entire attribution data stack - from ingestion and distributed processing through to the serving layer.
Ensure Data Integrity: Own the correctness of complex attribution logic - deduplication, organic vs. non-organic classification, primary attribution resolution, and cross-platform user stitching across massive, partitioned datasets.
Performance Engineering: Optimize scalable distributed processes to meet strict client SLAs. Tune jobs, queries, and pipeline scheduling for maximum throughput and minimum latency.
Ship Client-Facing Features: Partner with Product, R&D, and client-facing teams to turn raw web signals into production-grade, queryable data products that advertisers interact with directly.
Leverage AI in Data Workflows: Explore and integrate AI/ML capabilities into the data platform - from automated data-quality checks and anomaly detection to LLM-powered analytics tools that enhance how clients interact with their data.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.
A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more
What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

Were looking for a Threat Engineer to assess and develop our state-of-the-art detection solution. In this role, you will own the security coverage of our detection platform and guide development to strengthen our customers' resilience to emerging unknown threats. Your expertise in cyber security will drive our true AI-driven detection platform.
Responsibilities
Work closely with developers and data scientists to produce AI detection models.
Design and shape AI-driven security agents by encoding expert attacker and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies.
Act as a domain expert partner for product and engineering teams, ensuring AI-driven security decisions remain grounded in real attacker tradecraft and operational reality.
Apply your cyber expertise to investigate emerging threats and define technical requirements to mitigate them.
Architect and build scalable solutions for evaluating the platform security metrics.

As a Senior Engineer on our team, youll design and develop the core engines, data models, and intelligent agents that replicate real-world adversarial behaviors at scale. Youll combine strong software engineering skills with deep security intuition to build systems that proactively surface weaknesses and improve organizational resilience.
Responsibilities
Design and build AI-driven agents that emulate adversarial behaviors such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.
Design and write clean, testable, readable, scalable and maintainable Java code that scales and performs well for thousands of customers.
Problem solver. Youll tackle complex, cross-cutting technical challenges that span multiple teams or services- whether its migrating a legacy monolith, optimizing high-throughput data pipelines, or defining new API standards.