Nozomi Networks is the leader in OT and IoT cybersecurity, keeping the world's critical infrastructure cyber resilient through real-time asset visibility, threat detection, and AI-powered analysis. We protect the toughest operational environments — from energy and healthcare to manufacturing and beyond.
Job Title: Site Reliability Engineer
Location: Mendrisio
Level: Mid‑Senior ICs
As we expand our product portfolio and global presence, our Engineering department is hiring a Site Reliability Engineer to support and expand our globally distributed team. Together with the rest of the team, we are responsible for the availability, performance, monitoring, and incident response of our cloud-based services.
In This Role You Will:
Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
Build and maintain our cloud-based infrastructure and related services
Build solutions to enhance the availability, performance and stability of our services
Promote and implement automated solutions across application deployment, maintenance, and operational activities
Troubleshoot issues across the entire stack, from network and OS to applications
Performance tuning and optimization of cloud services, including cost saving strategies
Drive post-incident analysis according to our no-blame culture
Participate in periodic on-call duties
Ability to operate in settings with strong confidentiality and data privacy protocols
To Be Successful In This Opportunity, You Will Have:
Proven professional experience as SRE, DevOps, or Cloud engineer
Strong hands‑on experience with Kubernetes
Hands‑on experience with at least one cloud provider (preferably AWS)
Good knowledge and understanding of at least one programming language (Ruby, Python, Go)
Experience defining infrastructure as code using tools such as Terraform or CloudFormation
Experience in the definition of CI/CD pipelines using technologies like Jenkins, GHA, or similar
Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.
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Job Title: Site Reliability Engineer
Location: Mendrisio
Level: Mid‑Senior ICs
As we expand our product portfolio and global presence, our Engineering department is hiring a Site Reliability Engineer to support and expand our globally distributed team. Together with the rest of the team, we are responsible for the availability, performance, monitoring, and incident response of our cloud-based services.
In This Role You Will:
Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
Build and maintain our cloud-based infrastructure and related services
Build solutions to enhance the availability, performance and stability of our services
Promote and implement automated solutions across application deployment, maintenance, and operational activities
Troubleshoot issues across the entire stack, from network and OS to applications
Performance tuning and optimization of cloud services, including cost saving strategies
Drive post-incident analysis according to our no-blame culture
Participate in periodic on-call duties
Ability to operate in settings with strong confidentiality and data privacy protocols
To Be Successful In This Opportunity, You Will Have:
Proven professional experience as SRE, DevOps, or Cloud engineer
Strong hands‑on experience with Kubernetes
Hands‑on experience with at least one cloud provider (preferably AWS)
Good knowledge and understanding of at least one programming language (Ruby, Python, Go)
Experience defining infrastructure as code using tools such as Terraform or CloudFormation
Experience in the definition of CI/CD pipelines using technologies like Jenkins, GHA, or similar
Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.
#J-18808-Ljbffr
