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Remote Computer Science Cyber Security Jobs in Riverside, CA

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Remote Computer Science Cyber Security information

See Riverside, CA salary details

$59.5K

$138.7K

$194K

How much do remote computer science cyber security jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote computer science cyber security in Riverside, CA is $138,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a remote computer science cyber security job?

Remote computer science cyber security jobs involve protecting computer systems, networks, and data from cyber threats while working from a location outside of a traditional office, such as from home. These roles can include positions like security analyst, penetration tester, security engineer, or incident responder. Professionals in these positions use their knowledge of computer science and security protocols to detect, prevent, and respond to cyber attacks. Remote work in this field often requires strong communication skills, self-discipline, and reliable internet access. The demand for remote cyber security professionals has grown with the increase in digital threats and the expansion of remote work environments.

What are the key skills and qualifications needed to thrive as a remote computer science cyber security professional?

To thrive as a Remote Computer Science Cyber Security professional, you need a solid background in computer science, network security principles, and threat analysis, usually supported by a relevant degree and industry certifications like CISSP or CEH. Familiarity with security tools such as firewalls, intrusion detection systems, and security information and event management (SIEM) platforms is typically required. Strong problem-solving, attention to detail, and effective communication are essential soft skills for remote collaboration and incident response. These skills and qualities are crucial to proactively protect digital assets, respond to evolving cyber threats, and ensure organizational security in a remote work environment.

How does a remote cyber security professional typically collaborate with other team members and departments?

Remote cyber security professionals often collaborate with cross-functional teams through virtual communication tools such as video conferences, instant messaging, and project management platforms. They regularly coordinate with IT, development, and compliance teams to identify vulnerabilities, implement security protocols, and respond to incidents. Clear documentation and proactive communication are essential in this remote environment to ensure everyone stays aligned on security priorities. Building strong relationships remotely can be a challenge, but regular check-ins and collaborative problem-solving help foster effective teamwork.

What is the difference between Remote Computer Science Cyber Security vs Remote Network Security Specialist?

AspectRemote Computer Science Cyber SecurityRemote Network Security Specialist
CredentialsCertifications like CISSP, CompTIA Security+Certifications like Cisco CCNA Security, CompTIA Security+
Work EnvironmentDeveloping security protocols, analyzing threats, coding security solutionsMonitoring network traffic, configuring firewalls, securing network infrastructure
Industry UsageTech companies, finance, healthcare, governmentTelecommunications, enterprise networks, data centers
Search & Comparison IntentUnderstanding roles, skills, and remote opportunities in cybersecurityFocusing on network-specific security roles and remote work options

Remote Computer Science Cyber Security involves protecting systems through software, threat analysis, and coding, while Remote Network Security Specialist focuses on securing network infrastructure and traffic. Both roles require similar certifications and often operate in overlapping industries, but they emphasize different technical skills and daily tasks.

What are the most commonly searched types of Computer Science Cyber Security jobs in Riverside, CA?

The most popular types of Computer Science Cyber Security jobs in Riverside, CA are:

What are popular job titles related to Remote Computer Science Cyber Security jobs in Riverside, CA?

For Remote Computer Science Cyber Security jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Cyber Security jobs in Riverside, CA look for?

The top searched job categories for Remote Computer Science Cyber Security jobs in Riverside, CA are:

Remote Computer Science Cyber Security jobs near you
Infographic showing various Remote Computer Science Cyber Security job openings in Riverside, CA as of August 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Part Time. Highlights an 14% In-person, and 86% Remote job distribution, with an average salary of $138,715 per year, or $66.7 per hour.

Software Engineer II (AI Focus)

Parsec Automation Corp.

Anaheim, CA • On-site, Remote

$145K - $165K/yr

Full-time

Re-posted 29 days ago

Job description

About Parsec

Parsec Automation, LLC is a global leader in manufacturing operations management software. Recognized by Gartner, IDC, and numerous industry awards, Parsec's flagship MES platform, TrakSYS™, powers efficiency, quality, and compliance improvements at over 11,000 plants across 140+ countries. Manufacturers such as Johnson & Johnson, Merck, Toyota, Procter & Gamble, Hershey, Siemens, and DuPont rely on TrakSYS to manage complex operations with clarity and precision.

Parsec is backed by BVP Forge, part of the $20B Bessemer platform, known for supporting category-defining companies such as LinkedIn, Procore, Shopify, and Toast. 

About the Role

We're looking for a Software Engineer II (AI Focus) to help build and expand AI capabilities within our core platform.

This role is hands-on and focused on implementing production-ready AI features, including agent-based workflows and integrations with LLM providers. You'll work within a Microsoft-based, on-prem environment and contribute to building AI functionality that is secure, scalable, and reliable in real-world manufacturing settings.

You'll partner with senior engineers and product teams to deliver AI-powered features, while continuing to grow your experience in modern AI systems and enterprise software development.

Key Responsibilities

Quality, Security & Reliability

  • Follow secure development best practices, including least privilege and data protection
  • Implement validation, error handling, and safe access patterns
  • Contribute to logging, monitoring, and observability for AI features
  • Support testing efforts including:
  • Unit and integration testing
  • Validation of AI and tool interactions

Team Collaboration & Growth

  • Work closely with senior engineers to implement AI features aligned to product requirements
  • Participate in code reviews, design discussions, and team collaboration
  • Assist with troubleshooting and support for AI-related functionality
  • Continue developing skills in AI technologies, the TrakSYS™ platform, and manufacturing systems

AI Development & Implementation

  • Build AI capabilities within a Microsoft-based stack (ASP.NET, .NET services, SQL Server)
  • Implement agentic workflows, including agent runtimes and orchestration logic
  • Develop services that manage:
  • Conversation and task state
  • Tool execution and routing
  • Retries, timeouts, and execution limits
  • Integrate with LLM providers (OpenAI, Anthropic, etc.), including tool/function calling patterns
  • Contribute to building and maintaining tool integrations, including:
  • SQL Server queries and stored procedures
  • Internal APIs and services
  • File/report generation systems

Required Qualifications

  • 3–5+ years of software development experience
  • Experience with .NET (C#, ASP.NET)
  • Familiarity with API design and integration (REST, JSON, etc.)
  • Experience with SQL Server or similar relational databases
  • Understanding of software development best practices (testing, debugging, version control)
  • Exposure to agentic AI systems, MCP, or similar tool/plugin frameworks
  • Experience integrating with LLM APIs or working with AI/ML-powered features
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

Preferred Qualifications

  • Familiarity with Azure OpenAI or other LLM platforms
  • Experience with Semantic Kernel or similar frameworks
  • Experience working in enterprise or on-prem environments
  • Exposure to manufacturing or MES systems

Benefits

  • $145,000 to $165,000 annual salary
  • Variable Bonus based on company and individual performance 
  • Hybrid work schedule (3 days in office / 2 days remote)
  • 401(k) with company match
  • 100% company-paid health insurance premiums for employees 
  • Flexible vacation / PTO
  • Flexible Spending Account (FSA) plan available for eligible healthcare and dependent care expenses 
  • Outstanding team environment