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As a Senior QA Automation Infra developer, you will:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
Advantages:
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As a Senior DevOps Engineer you will:
Design, build and manage highly available, scalable and robust services.
Developing and maintaining our logging, monitoring and alerting stacks.
4+ years as DevOps Engineer (or equal role) with a passion for technology and strong motivation and responsibility for high reliability and service level
Proficiency in the cloud (AWS - preferred)
High proficiency with virtualized and containerized environments (Kubernetes and Docker)
Deep understanding in Linux: troubleshooting, designing robust architectures and understanding the internals
Experience with code language (Python & Bash - Advantage)
Experience with configuration management tools such as Terraform, Helm, Ansible, CloudFormation etc.
Experience with OpenStack or Private cloud ecosystem - Advantage
Experience with CI/CD or test automation tools such as GitHub actions, Jenkins etc.
Experience with NoSQL and Database technologies such as Elasticsearch (ELK) stack, Redis, PostgreSQL etc.
Familiarity with message brokers or pub/sub technologies such as RabbitMQ, Kafka AWS SQS
Managing a high-scale production environment
Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities
Familiarity with ML orchestration tools like Kubeflow, Airflow, Bedrock - Advantage
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As a Linux C++ Developer, you will:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
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Responsibilities
Requirements
Preferred Qualifications
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, you will:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
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As a Senior Data Scientist, you will:
· Research, design, and implement ML-based solutions for cybersecurity applications, such as anomaly detection, behavior modeling, and threat intelligence analysis.
· Lead end-to-end projects, including research, implementation, deployment, and production monitoring.
· Leverage LLMs and other ML techniques, including clustering, classification, and time-series analysis, to develop innovative solutions for cybersecurity challenges.
· Fine-tune and perform prompt tuning to optimize LLMs for tasks like phishing detection, log analysis, and malware categorization.
· Develop scalable pipelines for data preprocessing, training, and deploying ML models in production environments.
· Collaborate with data engineers and software teams to build and maintain infrastructure for data collection, storage, and processing.
· Apply unsupervised and supervised learning techniques to detect emerging threats and patterns in large-scale cybersecurity data.
· Design robust APIs and services to integrate ML and LLM solutions into existing systems.
· Propose and prototype novel ML approaches to improve our products and internal workflows.
· Stay updated on advancements in ML, including LLMs, computer vision, and graph-based models, identifying opportunities to apply them in cybersecurity.
· Provide mentorship and technical guidance to junior data scientists and engineers.
· Work closely with an Incident Response team to improve real-time detection.
· 4+ years of professional experience in ML Engineering (Advantage to GenAI) in an AI company that involves working with researchers.
· Proficiency in Python and ML packages
· Experience with AI/ML (MLOps) and a strong understanding of system architecture - Advantage
· Master's or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Machine Learning, or a related field - Advantage
· Familiarity with vector databases, SQL/NoSQL systems, and API development.
· Strong problem-solving, critical thinking, and communication skills.Why Join Us:
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Role Overview:
,As a QA Engineer – Automation & Manul you will
✔ Review and analyze system requirements and specifications.
✔ Design, develop, and execute automated test scripts to validate software functionality and performance.
✔ Identify, document, and track bugs and defects, ensuring timely resolution.
✔ Troubleshoot and analyze test failures, improving test coverage and stability.
✔ Ensure test coverage across frontend, backend, APIs, and cloud environments.
✅ 2 years of experience in automation testing and/or manual QA.
✅Degree in Computer Science, Engineering, or a related field.
✅ Proficiency in at least one programming language (preferably Python).
✅ Proficiency in at least one Automation framework (preferably Playwright).
✅ Strong understanding of software testing methodologies, tools, and best practices.
✅ Experience with API testing tools (e.g., Postman).
✅ Ability to debug issues and conduct root cause analysis.
Preferred Qualifications ➕ Experience in cloud-based testing (AWS, Azure, or GCP). ➕ Hands-on experience with frontend and backend test automation. ➕ Familiarity with test management tools (e.g., TestRail, Jira). ➕ Exposure to network security, cybersecurity, or enterprise security solutions. ➕ Experience working in an Agile development environment.
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As a Senior QA Automation Infra developer, you will:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
Advantages:
These jobs might be a good fit