Senior System Engineer (Virtual Private Cloud Team)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior System Engineer (Virtual Private Cloud Team) based in Spain.

This is a senior systems engineering role focused on building and operating the core networking layer of a large-scale cloud platform.
You will work on virtual private networking that enables reliable connectivity across distributed datacenter environments.
The role combines high-level control-plane development in Go with low-level dataplane and systems engineering, primarily involving C and open-source technologies.
You will contribute to secure networking services including virtual networks, load balancers, firewalls, security groups, and connectivity features.
A key focus will be improving scalability, resilience, performance, and stability across critical cloud infrastructure.
You will investigate challenging networking, datapath, kernel, and performance issues while collaborating with experienced engineers across the platform.
This is an opportunity to work on foundational infrastructure where your engineering decisions directly influence the reliability of cloud services.

Accountabilities

• Develop and operate the Virtual Private Cloud (VPC) networking layer that provides reliable connectivity for cloud workloads.
• Design and implement scalable and resilient networking services for virtualized cloud environments.
• Develop and maintain the control plane , primarily using Go.
• Contribute to the development and integration of dataplane components, primarily written in C and based on open-source networking technologies.
• Improve the scalability, reliability, and operational stability of core cloud networking services.
• Develop networking functionality such as IPv6 support, service endpoints, VPC peering, and Layer 7 load balancing .
• Contribute to the development and improvement of network services including load balancers, firewalls, and security groups.
• Improve internal architecture and optimize interactions between VPC services and related cloud platform components.
• Investigate and resolve complex datapath and Linux kernel networking issues .
• Analyze and address networking performance bottlenecks at both system and application levels.
• Design and execute load and performance testing for cloud networking services.
• Debug complex issues involving routing, connectivity, concurrency, and distributed infrastructure.
• Develop reliable, high-performance concurrent systems code suitable for large-scale production environments.
• Contribute to the resilience of cloud networking infrastructure so services remain operational during partial system or infrastructure failures.
• Collaborate with engineers working across control-plane, dataplane, networking, and platform infrastructure components.
• Participate in technical design discussions and contribute to improvements in the architecture of core networking services.
• Research and evaluate networking technologies and approaches that can improve platform capabilities and performance.
• Participate in coding interviews as part of the recruitment process.

Requirements:

• Significant experience in systems engineering, network engineering, infrastructure engineering, or a closely related technical discipline .
• Strong ability to write reliable, efficient, and high-performance concurrent code .
• Proficiency in Go (Golang) .
• Ability to read and understand C and/or C++ , or a strong willingness and ability to develop these skills.
• Practical understanding of how network traffic is routed through modern networking systems.
• Strong knowledge of software engineering principles for production-grade systems and infrastructure.
• Experience troubleshooting complex systems, networking, or performance-related issues.
• Ability to work effectively with both high-level control-plane software and low-level systems or dataplane components.
• Strong analytical and debugging skills, with the ability to investigate issues across multiple layers of a networking stack.
• Understanding of virtual networking and modern cloud networking architectures is highly valuable.
• Experience with OVS, VPP, DPDK, Linux kernel networking subsystems , or comparable networking dataplanes is a strong advantage.
• Familiarity with network overlays, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), or Deep Packet Inspection (DPI) is beneficial.
• Knowledge of network protocols, routing, tunneling, and related networking technologies.
• Familiarity with BGP and MPLS is an advantage.
• Ability to understand complex technical architectures and contribute constructively to design decisions.
• Strong problem-solving skills and a methodical approach to diagnosing infrastructure and networking issues.
• Comfortable working collaboratively in a highly technical engineering environment.
• Willingness to learn new technologies and work across different layers of the cloud networking stack.

Benefits:

• Competitive compensation .
• Career growth and continuous learning opportunities .
• Flexibility and significant ownership in your work.
• Collaborative and innovative engineering culture.
• Opportunity to work on high-impact cloud and AI infrastructure projects .
• Exposure to large-scale networking, distributed systems, and cloud infrastructure.
• Opportunity to work across both high-level software engineering and low-level systems research.
• International environment with experienced and technically skilled teams.
• Inclusive workplace committed to equal employment opportunities.
• Workplace accommodations available during the application process where required.
• Employment is subject to authorization to work in the country where the position is based.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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