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Network Segmentation Jobs in Oregon (NOW HIRING)

OR ยท Hybrid

Deep expertise in cloud security architecture , including IAM, network segmentation, encryption, and secure design patterns * Strong programming and automation experience, with the ability to design ...

Perform advanced loop-loss and electronics sizing; plan field-mounted switch serving areas and network segmentation. * Lead constructability reviews, value engineering, and route optimization ...

Perform advanced loop-loss and electronics sizing; plan field-mounted switch serving areas and network segmentation. * Lead constructability reviews, value engineering, and route optimization ...

Perform advanced loop-loss and electronics sizing; plan field-mounted switch serving areas and network segmentation. * Lead constructability reviews, value engineering, and route optimization ...

OR ยท On-site

Define bundled solution offerings by segment, combining eFax, Clarity, Conductor, and Dock into ... Oncology-specific EHRs (Flatiron Health, iKnowMed/McKesson), community cancer network operators

Lifestyle Host

Portland, OR ยท On-site

$16 - $21.25/hr

... produce segments in the studio and in the field. You will be expected to produce daily content on a variety of platforms including the internet, social networking sites, in addition to the live ...

Lifestyle Host

Portland, OR

$16 - $21.25/hr

... produce segments in the studio and in the field. You will be expected to produce daily content on a variety of platforms including the internet, social networking sites, in addition to the live ...

Lifestyle Host

Portland, OR ยท On-site

$16 - $21.25/hr

... produce segments in the studio and in the field. You will be expected to produce daily content on a variety of platforms including the internet, social networking sites, in addition to the live ...

OR

$115K - $140K/yr

SaaS, MSP & Segment-Specific Pricing: Lead the commercial design of NetBrain's emerging SaaS ... Background in network management, automation, observability or adjacent infrastructure markets.

Win and successfully on-board new customers in the Managed Travel segment for the assigned region ... Be able to network through on-line and off-line means to build a robust pipeline. * Be able to ...

... segment for the assigned region. All travel companies that are focused on providing services ... Be able to network through on-line and off-line means to build a robust pipeline. * Be able to ...

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Network Segmentation information

What is the difference between Network Segmentation vs Network Security Engineer?

AspectNetwork SegmentationNetwork Security Engineer
Primary FocusDividing a network into segments to control trafficDesigning, implementing, and managing security measures
Required SkillsNetworking protocols, VLANs, firewallsFirewall configuration, intrusion detection, security policies
Work EnvironmentNetwork infrastructure, data centers, enterprise networksSecurity teams, IT departments, cybersecurity environments
CertificationsCCNA, CompTIA Network+CISSP, CEH, CompTIA Security+

Network segmentation involves dividing a network into smaller parts to improve performance and security, while a Network Security Engineer focuses on protecting the network through security measures. Both roles require networking knowledge, but their primary objectives differ: segmentation manages network structure, whereas security engineers safeguard it from threats.

What are the key skills and qualifications needed to thrive in a Network Segmentation role, and why are they important?

To thrive in a Network Segmentation role, you need a solid understanding of networking concepts, security best practices, and experience with firewalls and VLAN configuration, often supported by certifications like CCNA or CISSP. Familiarity with tools such as network monitoring systems, segmentation platforms, and security information and event management (SIEM) solutions is typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with IT teams and identifying security gaps. These skills ensure that network environments are properly segmented to minimize security risks and maintain organizational compliance.

What kind of jobs can I get with Network+?

Network+ certification qualifies individuals for roles such as network technician, network administrator, or help desk technician. These jobs involve managing, troubleshooting, and maintaining computer networks, often requiring knowledge of networking protocols, hardware, and security practices.

Is networking a high paying job?

Network segmentation is a specialized area within networking and cybersecurity that often offers competitive salaries, especially for professionals with certifications like Cisco CCNP or CompTIA Security+. Salaries vary based on experience, location, and employer, but networking roles generally provide good compensation compared to many other IT positions.

What is network segmentation?

Network segmentation is the practice of dividing a computer network into smaller, isolated subnetworks to improve security and performance. By separating systems and data, organizations can limit the spread of cyber threats and control user access to sensitive information. This approach helps contain breaches, simplifies compliance, and enhances the efficiency of network management. Common techniques include using VLANs, firewalls, and access control lists to enforce boundaries between segments.

What are some common challenges faced by professionals working in network segmentation roles, and how can they be addressed?

Professionals in network segmentation roles often encounter challenges such as effectively balancing security with business operations, managing legacy systems, and ensuring seamless communication between segmented zones. Addressing these challenges typically involves working closely with IT and business units to understand critical workflows, implementing robust access controls and monitoring, and regularly updating segmentation policies to adapt to organizational changes. Staying current with industry best practices and leveraging automation tools can also help streamline the process and minimize human error.

What are network segmentations?

Network segmentation involves dividing a computer network into smaller, isolated segments to improve security and performance. For network security roles, understanding segmentation helps in designing, implementing, and managing secure network architectures using tools like VLANs, firewalls, and access controls.

What is job segmentation?

Job segmentation in the context of network segmentation refers to dividing a computer network into smaller, isolated segments to improve security and manageability. For network security professionals, understanding segmentation involves configuring firewalls, VLANs, and access controls to limit access between segments and reduce the risk of cyber threats. This skill is often part of cybersecurity roles focused on protecting organizational infrastructure.
What are popular job titles related to Network Segmentation jobs in Oregon? For Network Segmentation jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Network Segmentation jobs? Cities in Oregon with the most Network Segmentation job openings:
Infographic showing various Network Segmentation job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Staff Cloud Security Engineer

Staff Cloud Security Engineer

PlayStation Global

OR โ€ข Hybrid

Other

Re-posted 5 days ago


Job description

We are looking for an inspirational and hardworking person to join the Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. As a member of the Cloud Security team you will assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments.

Role Description:

Provide cloud security capabilities that are proactive, preventive-focused models that address modern threats, including those driven by AI-enabled attack techniques. Expanding into next-generation security domains such as AI/ML security, container security, and advanced threat detection and response.

We are seeking a highly experienced Cloud Security Engineer (Staff) to define and drive security architecture, strategy, and engineering practices across multi-cloud and hybrid environments. This role will serve as a technical leader responsible for securing cloud-native and AI-driven systems at scale while influencing security outcomes across multiple teams and departments.

Key Responsibilities
  • Define and drive cloud security strategy, architecture standards, and technical roadmaps across cloud and AI-enabled environments
  • Lead the design and implementation of preventative security controls, leveraging automation and AI-driven capabilities to reduce risk and improve detection and response
  • Architect and secure complex multi-cloud and hybrid environments across AWS, Azure, GCP, and on-premise infrastructure
  • Define and implement security architecture for AI/ML workloads, including model pipelines, data protection, and AI-integrated applications
  • Identify and establish controls to mitigate AI-specific risks such as prompt injection, data poisoning, model leakage, and adversarial inputs
  • Influence security and engineering practices across multiple teams and departments, driving adoption of secure-by-design principles
  • Own the security outcomes of key cloud and AI initiatives, ensuring successful delivery and measurable risk reduction
  • Establish and evolve DevSecOps and Infrastructure-as-Code (IaC) security standards, integrating security controls into CI/CD pipelines at scale
  • Drive adoption and optimization of CNAPP platforms and related tooling to improve risk visibility and remediation across cloud, container, and AI environments
  • Define and implement security architecture for containerized platforms (Kubernetes/EKS/GKE/AKS), including cluster hardening, workload isolation, image supply chain security, and runtime protection controls
  • Lead the evolution of detection and response capabilities, integrating cloud telemetry, Cloud EDR, and advanced security analytics
  • Conduct and guide threat modeling and risk assessments (Attack Surface Management, Data Security Posture Management, etc.) for complex cloud-native and AI-enabled systems
  • Architect and deliver automation frameworks and security services to improve scalability and operational efficiency
  • Provide technical leadership and mentorship to engineers, influencing department-level goals and technical direction
Qualifications:
  • Bachelor's degree or equivalent in Computer Science, Information Security, or related field
  • Proven experience defining and securing large-scale cloud and hybrid architectures (AWS, Azure, GCP, On-Premise)
  • Deep expertise in cloud security architecture, including IAM, network segmentation, encryption, and secure design patterns
  • Strong programming and automation experience, with the ability to design and scale security engineering solutions
  • Extensive experience implementing DevSecOps practices and securing Infrastructure-as-Code (IaC) workflows
  • Expertise working with container technologies (Kubernetes, Docker, EKS, GKE, AKS)
AI / ML Security Expertise
  • Deep understanding of security risks in AI/ML systems, including prompt injection, data poisoning, model leakage, and adversarial inputs
  • Experience defining and securing AI/ML architectures, including training pipelines, inference systems, and AI-integrated applications
  • Strong knowledge of data security and privacy controls in AI systems
  • Familiarity with frameworks such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework
  • Experience securing advanced AI patterns such as LLM integrations, APIs, MCPs, RAG pipelines, or model services (preferred)
Security Tooling & Operations
  • Experience leading implementation and adoption of CNAPP platforms
  • Deep understanding of cloud detection and response, IaC scanning, and runtime protection
  • Strong background in security prevention, detection, and response strategy
Additional Experience
  • Experience designing highly scalable, resilient, and secure architectures across application, network, and data layers
  • Experience influencing technical direction across multiple teams or departments
  • Relevant certifications (e.g., ISC2, GIAC, AWS, Azure, GCP) preferred
  • Experience working across multi-OS and distributed environments