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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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In this key role, you will manage, direct and drive direct sales into Commercial Accounts. Create and implement strategic plans focused on attaining enterprise-wide deployments of Fortinet products and services. Develop executive relationships with key buyers and influencers in Commercial accounts and leverage these relationships. Coordinate with appropriate internal groups to generate and deliver winning Contract Bids, Proposals, RFI/RFP Responses, and Statements of Work. Negotiate terms of business with clients to achieve win/win results that provide the basis for strong ongoing relationships.
Responsibilities:
Required Skills:
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As an Incident Response Analyst, 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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Role Overview:
our strategic partners.
As a Channel Account Manager, you willbe a key contributor to the revenue growth of the region, and the company growth targets. You will be accountable to manage strategic partnerships, spearheading new business development and successfully developing alliances with key solution provider accounts.
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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At Fortinet you will
Apply if you
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you will:
Investigate and respond to workspace security incidents (Email & Browser Security & Cloud)
Work in rotating shifts as part of a 24/7 operation (including nights, weekends, and holidays)
At least 2 years of experience in an Incident Response or Security Operation roles
Strong understanding of attack vectors, including Phishing, BEC, Email spoofing and impersonation techniques, Malware, ATO and more
Knowledge of email protocols and security concepts: SMTP, SPF/DKIM/DMARC, headers, authentication methods
Strong querying skills using SQL, SPL, KQL or AQL
Good knowledge with Static & Dynamic techniques
Familiarity with and understanding of code and scripting languages such as Python, JavaScript, Visual Basic, or similar — with the ability to read, interpret, and analyze potentially malicious scripts
Excellent written and verbal communication in English
We encourage applications from diverse backgrounds and identities.
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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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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
These jobs might be a good fit