Network Engineer

Job Description

Job Description

Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

• SonarQube: The world’s leading AI code review and verification platform.

• SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.

• SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

• Committed to our customers and community.

• Obsessed with quality.

• Deliberate in our decisions.

• Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.

Position description

We are still at the beginning of our growth journey and are continuously introducing new processes, technologies, and tools. In this role, you will:

• Be a pivotal engineering contributor to the design, implementation, and operation of Sonar's global network infrastructure spanning all office locations and cloud environments, ensuring fast, secure, and reliable connectivity for every SonarSourcer and every service.

• Own key parts of our WAN, LAN, SD-WAN, and DNS architecture , ensuring that network services are resilient, performant, and aligned with the needs of a rapidly growing, globally distributed organization.

• Design and maintain network monitoring, alerting, and observability capabilities that give us real-time visibility into network health, performance, and security posture across all sites and cloud interconnects.

• Partner with Product Engineering, Information Security, and Infrastructure Engineering to ensure secure network controls and segmentation are deeply and seamlessly integrated into engineering workflows , not bolted on.

• Use and champion AI tooling to make network operations more efficient -- from alert triage and anomaly detection to capacity planning and configuration management.

• Help define and improve how we measure the reliability and performance of our network services (SLIs/SLOs, error budgets, and dashboards), making network health visible and actionable to stakeholders.

What you will do

• Network Architecture & Engineering : Design, implement, and evolve Sonar's network infrastructure across all office locations and cloud environments. Evaluate and deploy technologies that improve reliability, throughput, and user experience while reducing operational complexity.

• Fortigate Firewall Architecture & Network Segmentation : Configure, administer, and evolve our Fortigate firewall architecture, including rule sets, network segmentation policies, VPN tunnels, and high-availability configurations. Ensure firewall policies prioritize functionality and performance while maintaining a strong security posture, in coordination with the Information Security team.

• DNS, DHCP & Core Network Services : Own the design, automation, and reliability of foundational network services (DNS, DHCP, NTP, IPAM). Implement policy-as-code and automation to ensure changes are reviewed, tested, and auditable before reaching production.

• Network Monitoring, Alerting & Observability : Design, implement, and maintain network monitoring dashboards, alerting rules, and diagnostic runbooks. Continuously tune alerts to reduce noise, improve signal fidelity, and align with SLOs for critical network services and interconnects.

• Infrastructure as Code & Network Automation : Use IaC and configuration management (e.g., Terraform, Ansible, or vendor-native automation) plus scripting languages (e.g., Python, Go) to deploy and manage network devices, configurations, and policies. Treat network configurations as software artifacts that can be versioned, tested, and rolled back safely.

• Multi-Cloud Networking & Hybrid Connectivity : Design and operate cloud networking across GCP, Azure, and AWS (VPCs, VNets, peering, transit gateways, private endpoints, cloud-native load balancing) and hybrid connectivity (site-to-site VPN, dedicated interconnects) to ensure secure, low-latency communication between on-premises and cloud workloads.

• Incident Response & Post-Incident Engineering : Participate in the on-call rotation for network services. Lead or contribute to post-incident reviews, turning root causes into preventative engineering changes (new alerts, automations, capacity adjustments, or documentation) that reduce MTTR and recurrence.

• AI-Enabled Network Operations : Use AI tooling (e.g., LLM-based assistants, AIOps platforms) to accelerate alert triage, anomaly detection, and root cause analysis, while keeping humans in control of decisions. Identify opportunities to embed AI in network operations workflows (e.g., capacity forecasting, configuration drift detection) and help implement these safely and effectively.

Experience and qualifications

• Network Engineering & Operations Background : Significant hands-on experience (4-7 years) in network engineering, network operations, or closely related roles in modern, fast-paced environments (e.g., SaaS, enterprise IT, multi-site corporate networks, or cloud-native infrastructure).

• Routing, Switching & WAN Expertise : Deep practical experience designing and operating enterprise LAN/WAN environments, including routing protocols (BGP, OSPF), switching (VLANs, STP, MLAG/VPC), and SD-WAN technologies. Experience with multi-site network architectures and global traffic management.

• Fortigate Firewall & Network Security : Proven experience configuring and administering Fortigate/FortiOS firewall platforms, including policy management, VPN (IPSec and SSL), SD-WAN, and high-availability configurations. Experience implementing network segmentation and zero-trust network access principles. Familiarity with other firewall platforms (e.g., Palo Alto, cloud-native firewalls) is a plus.

• Multi-Cloud Networking : Hands-on experience with cloud networking across GCP, Azure, and AWS, including VPC/VNet design, peering, transit gateways, cloud-native load balancing, and hybrid connectivity (VPN, Direct Connect/Cloud Interconnect/ExpressRoute). Experience managing network infrastructure across multiple cloud providers simultaneously is strongly preferred.

• Automation & Infrastructure as Code : Strong experience with network automation tools and frameworks (e.g., Ansible, Terraform, Nornir, NAPALM, or vendor-native APIs) and with scripting/programming languages (e.g., Python, Go, or equivalent) to automate network provisioning and configuration management. Track record of converting manual, repetitive operational work into reliable automation and self-service capabilities .

• DNS, DHCP & IPAM : Practical experience operating and automating foundational network services at enterprise scale, with a focus on reliability, auditability, and integration with broader infrastructure automation.

• Network Monitoring & Observability : Proven experience with network monitoring and observability platforms (e.g., SNMP-based tools, Datadog, ThousandEyes, LibreNMS, or similar), including building dashboards, tuning alerting, and working with SLIs/SLOs and error budgets for critical network services.

• Incident Management & Cross-Functional Collaboration : Demonstrated experience participating in or leading incident response, root cause analysis, and post-incident follow-through in partnership with IT Ops, Security, and Engineering. Strong communication skills in English, able to explain complex network and operational topics to both technical and non-technical audiences.

• AI Fluency : Comfortable using modern AI tooling (e.g., LLM-based assistants, automation frameworks) as part of daily work for analysis, content generation, and workflow automation. Ability to reason about where AI is and isn't appropriate in network operations , balancing speed with risk and control.

 

 

 

 

 

Additional comments This role is based in Austin TX. We are unable to consider candidates unwilling to be in Austin

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at View email address on ziprecruiter.com.  

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. 

We do not currently support visa candidates in the US. 

Applications that are submitted through agencies or third party recruiters will not be considered.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.