Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

As an Operations Reliability Engineer with a specialization in Network Operations, you will play a supporting role in maintaining the reliability, stability, and performance of enterprise network services while contributing to the broader reliability operations function. You will support incident detection, troubleshooting, and remediation across multiple infrastructure domains, with a focus on LAN/WAN, SD-WAN, wireless, VPN, cloud connectivity, and site connectivity.

In addition to your network expertise, you will assist in improving monitoring accuracy, reducing alert noise, and enhancing the quality of operational data used across observability and AIOps platforms. You will participate in automation and AI-readiness efforts by documenting repeated issues, validating automated workflows, and providing operational insights that support engineered fixes and emerging self-healing capabilities.

This role blends incident management with event correlation, automated remediation validation, and the application of network-specific knowledge to improve stability and reduce operational noise. You will collaborate across IT to support detection accuracy and contribute to long-term automation, observability, and AI-driven reliability initiatives supporting our global workforce.

Responsibilities:

General Reliability Operations

• Resolve network and infrastructure incidents through hands-on troubleshooting and remediation, escalating complex or non-standard issues when needed to senior analysts or engineering teams.
• Monitor observability, AIOps, and event management platforms to identify anomalies, performance issues, and emerging incidents using established operational processes and procedures.
• Perform incident triage and correlation to determine probable cause and appropriate routing for deeper investigation.
• Validate automated remediation workflows and assist in identifying repeated manual tasks that could be automated.
• Participate in early-stage automation and AI-readiness activities by documenting remediation steps, key patterns, and operational edge cases to support engineering initiatives.
• Reduce alert noise by providing recommendations for adjustments to thresholds, suppression logic, or detection rules.
• Support post-incident reviews by providing relevant data, event timelines, and insights related to network behavior.
• Collaborate with Cloud, Network, IAM, Messaging, and ServiceNow teams to support incident resolution and improve operational processes.
• Assist with patching and vulnerability-remediation workflows by troubleshooting failures, validating remediation outcomes and providing manual patching or remediation when automation isn’t available.
• Ensure accuracy of event data, alerts, and service mappings to support strong correlation within monitoring and CMDB systems.

Network Focused Responsibilities

• Troubleshoot and resolve network-related incidents across LAN, WAN, SD-WAN, wireless, VPN, cloud connectivity and branch/site connectivity environments following established standards and escalation procedures.
• Analyze telemetry and alerts from network monitoring platforms (SolarWinds, SD-WAN controllers, Zscaler, Meraki/Cisco tools) to determine service impact and support issue resolution efforts.
• Support correlation of network events with dependencies across cloud applications, identity services, endpoints, and SaaS platforms.
• Participate in validating network automation or configuration workflows, such as failover testing, resilience checks, or config pushes.
• Assist in identifying network-related automation opportunities by documenting repeated failure modes and manual intervention steps.
• Support Zscaler configuration troubleshooting, policy validation, and resolution of performance or routing issues.
• Maintain DEX-based network monitoring dashboards and alerts, ensuring clear signals and detection of user-impacting issues.
• Provide knowledge-sharing to team members and peers regarding common network troubleshooting patterns.
• Participate in network readiness activities for office builds, expansions, and infrastructure changes by reviewing operational requirements and monitoring needs.
• Engage vendors (Cisco TAC) when appropriate and drive issues to resolution
• Maintain Catalyst 9000 (9300/9400/9500) platforms

Requirements:

• Bachelor’s degree in an IT-related field or equivalent experience.
• 3+ years in network operations or network engineering roles.
• Strong understanding of network technologies including routing, switching, wireless, VPN, DNS, DHCP, and basic connectivity principles.
• Hands-on experience with network monitoring and diagnostic tools such as Cisco Catalyst Center, SolarWinds, Meraki Dashboard, etc.
• Knowledge of zero trust concepts and principals (Zscaler)
• Hands-on experience with Cisco IOS-XE
• Solid understanding of incident management, event correlation, and operational troubleshooting methodologies.
• Experience collaborating with engineering teams and working within cross-functional operational environments.
• Ability to interpret network telemetry and logs to identify symptoms, underlying issues, and potential root causes.
• Strong written and verbal communication skills to explain findings to both technical and non-technical teams.
• Motivated to develop deeper skills in automation, AIOps, and proactive reliability engineering.

Preferred:

• Knowledge of SD-WAN support (Cisco)
• Familiarity with scripting or automation concepts is a plus and supports future career progression.
• Interest in learning automated remediation patterns, predictive alerting concepts, and modern observability practices.

Additional Information

• Working Hours: This role follows daytime local hours (9:00 AM – 6:00 PM CET) and provides overnight coverage for US teams, aligning to 3 AM – 12:00 PM EST.
• On-Call Support: Participation in a shared, rotational on-call schedule is required.

Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

• Our Talent Acquisition team reviews your application with the hiring team.

• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.


• Next, you'll meet the hiring manager and other members of the interview team.

• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

• After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.