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We are looking for a responsible, independent professional subsidiaries assistant controller, a team player who can work in a fast-growing company and is able to deliver in strict timelines. You will join our professional finance team.
Responsibilities:
Prepare monthly, quarterly, and annual financial reporting packages in accordance with US GAAP and corporate guidelines, ensuring accurate and timely information for decision-making.
Conducted month-end closing procedures and generated comprehensive financial reports and analytics to support subsidiary performance evaluation.
Compile and prepare financial statements and manage annual audits adhering to accepted accounting principles, reflecting company-wide and subsidiary-level financial status.
Supervise payments to vendors and manage significant cash transactions, ensuring accuracy and compliance with company policies and regulatory requirements.
Enhance internal controls and work processes to boost efficiency and accuracy, focusing on subsidiary-specific needs and best practices.
Oversee accurate payroll processing and ensure regulatory compliance.

We are looking for a highly skilled RF Test Automation Developer to join our R&D Integration Automation team.
This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools.
The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle.
Knowledge of RF systems is a strong plus.
Key Responsibilities:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through our companys SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more.
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
Lead the design, development, and deployment of AI/ML models that enhance our companys security and networking products
Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources
Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions
Define and track success metrics to ensure AI solutions meet performance and business goals.

We are seeking an experienced Network Engineer to join our Network & Cloud Operations team. This role is responsible for investigating complex network and service issues, implementing and improving monitoring solutions, leading technical escalations, contributing to RCAs, and building workflows that streamline investigation processes for lower NOC and Support tiers.
As part of the Network & Cloud Operations team, the engineer will play a key role in ensuring the performance, reliability, and scalability of our companys network services. The role requires close collaboration with Engineering throughout the lifecycle of new versions and network features, from design review and operational readiness to production rollout, validation, and continuous improvement. This includes providing operational feedback on new network capabilities, helping define production requirements, and ensuring smooth adoption of new technologies across our companys global network.
Key Responsibilities:
Implement and improve network monitoring and alerting systems to proactively detect service-impacting issues.
Lead escalations of critical network and service incidents, coordinating with Engineering, Support, Security, and Operations teams.
Investigate and resolve complex network issues beyond standard NOC and Support tiers.
Contribute to RCAs by providing technical analysis, impact assessment, mitigation actions, and prevention recommendations.
Work closely with Engineering on new versions, features, and network capabilities, including design feedback, production readiness, rollout validation, and post-release monitoring.
Participate in CHNG management processes, service-component deployments, release pipelines, and production rollouts.
Create runbooks, workflows, and investigation procedures to improve troubleshooting efficiency across NOC team.
Identify recurring issues and operational gaps to drive improvements in network stability, monitoring, alerting, and automation.