Software Engineer
We protect the world’s critical infrastructure from cyber threats.
Job Description
As we expand our product portfolio and global presence, our Security Research department is hiring a Senior Software Engineer to work on cybersecurity projects focused on Threat Intelligence. You'll be designing, implementing, and maintaining automation systems to support workflows related to threat detection and analysis. You’ll also collaborate with the team working on machine learning models and MLOps pipelines that power detection and analytics features. Collaborate with experienced engineers to build high-quality software using Python, UNIX-like scripting, and RDBMS technologies (experience with Golang will be a strong advantage). We prioritize clean code, automation, and continuous learning, offering opportunities for growth, training, and conference participation. If you're passionate about threat intelligence, automation, machine learning engineering, and agile methodologies, this is the role for you.
You could be the next "Nozomier"! If this sounds like you, read on.
In this role you will:
- Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
- Develop and maintain operations related to our Threat Intelligence infrastructure
- Develop automated systems to collect, share and correlate data related with cybersecurity threats to prevent attacks in critical infrastructures
- Develop ML models used in threat detection and classification use-cases
- Contribute to MLOps workflows, including training automation, evaluation pipelines, model packaging, deployment support and observability of ML-enabled systems
To be successful in this opportunity, you will have:
- Proven experience in Python or Golang software development
- Software design knowledge. Design Patterns, SOLID, GRASP
- Hands-on experience supporting ML systems in production and/or building MLOps pipelines (CI/CD, model versioning, reproducibility)
- Love for simplicity. Writing clean and minimalist code, embracing the agile incremental approach
- Automated Testing experience (TDD, BDD, etc)
- Attitude to operate in environments including data covered by non-disclosure agreements and high-level of confidentiality
- Docker, AWS or Terraform are a plus
- Solid foundations in machine learning and data-driven development (model lifecycle, evaluation metrics, experimentation best practices)
As we expand our product portfolio and global presence, our Security Research department is hiring a Senior Software Engineer to work on cybersecurity projects focused on Threat Intelligence. You'll be designing, implementing, and maintaining automation systems to support workflows related to threat detection and analysis. You’ll also collaborate with the team working on machine learning models and MLOps pipelines that power detection and analytics features. Collaborate with experienced engineers to build high-quality software using Python, UNIX-like scripting, and RDBMS technologies (experience with Golang will be a strong advantage). We prioritize clean code, automation, and continuous learning, offering opportunities for growth, training, and conference participation. If you're passionate about threat intelligence, automation, machine learning engineering, and agile methodologies, this is the role for you.
You could be the next "Nozomier"! If this sounds like you, read on.
In this role you will:
- Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
- Develop and maintain operations related to our Threat Intelligence infrastructure
- Develop automated systems to collect, share and correlate data related with cybersecurity threats to prevent attacks in critical infrastructures
- Develop ML models used in threat detection and classification use-cases
- Contribute to MLOps workflows, including training automation, evaluation pipelines, model packaging, deployment support and observability of ML-enabled systems
To be successful in this opportunity, you will have:
- Proven experience in Python or Golang software development
- Software design knowledge. Design Patterns, SOLID, GRASP
- Hands-on experience supporting ML systems in production and/or building MLOps pipelines (CI/CD, model versioning, reproducibility)
- Love for simplicity. Writing clean and minimalist code, embracing the agile incremental approach
- Automated Testing experience (TDD, BDD, etc)
- Attitude to operate in environments including data covered by non-disclosure agreements and high-level of confidentiality
- Docker, AWS or Terraform are a plus
- Solid foundations in machine learning and data-driven development (model lifecycle, evaluation metrics, experimentation best practices)
