Senior Linux/SDET Engineer

Role Description

MaxIT Consulting – Max Corporate Group is seeking an experienced Senior Linux/SDET Engineer for a leading global technology organization. This opportunity is focused on defining test strategy, automation, and system-level validation for a highly distributed Linux-based AI and compute environment.

The ideal candidate brings deep expertise in Linux kernel internals, C development, virtualization, debugging, performance testing, and scalable test automation. This is a highly technical role for someone comfortable solving complex infrastructure problems at the operating-system level.

What You'll Do

• Lead the overall testing and validation strategy for custom Linux kernel infrastructure supporting AI and compute environments.
• Design, build, and scale automated test frameworks focused on performance, reliability, and security.
• Develop comprehensive test suites for Linux kernel enhancements and infrastructure changes.
• Support the migration and validation of kernel and virtualization modifications across newer platform versions.
• Troubleshoot and isolate complex low-level system issues across test and simulated production environments.
• Perform Linux kernel debugging, performance benchmarking, and system-level validation.
• Architect and continuously improve build, automation, continuous integration, and continuous testing infrastructure.
• Partner closely with engineering teams to establish quality standards and improve infrastructure reliability at scale.
• Provide technical direction and mentorship to other engineers.
• Help identify and resolve performance, reliability, virtualization, networking, storage, and resource-management issues.

Qualifications

• 12+ years of relevant experience in software engineering, development, systems engineering, test engineering, or a closely related technical field.
• Bachelor's degree or equivalent professional experience.
• Strong software development and validation experience using C, particularly in Linux kernel or low-level systems environments.
• Strong scripting and automation experience using Python, Shell, and/or Perl.
• Deep understanding of Linux kernel internals and system-level infrastructure.
• Strong hands-on experience with KVM and virtualization.
• Experience with Virtio drivers and virtualized I/O environments.
• Strong knowledge of cgroups, memory management, file systems, and block I/O.
• Knowledge of Ethernet/network drivers and the TCP/IP stack.
• Extensive experience with Linux kernel debugging and performance benchmarking.
• Experience designing, implementing, and maintaining continuous integration and automated testing frameworks.
• Proven ability to diagnose and resolve complex system-level and infrastructure issues.
• Strong communication and collaboration skills in highly technical environments.
• Ability to operate effectively in a distributed, remote engineering organization.

Requirements

• Strong candidates should demonstrate meaningful hands-on experience across several of the following areas:
• Kernel-level development and validation
• C programming
• KVM and virtualization
• Virtio
• Memory management
• cgroups
• File systems
• Block I/O
• Network drivers
• TCP/IP
• Kernel debugging
• Performance benchmarking
• Python, Shell, or Perl automation
• Continuous integration
• Automated and continuous testing
• System-level performance and reliability validation

Ideal Background

• Candidates may come from backgrounds such as:
• Kernel development
• Operating system engineering
• Systems validation
• Virtualization or hypervisor engineering
• Infrastructure test automation
• Low-level performance engineering
• Cloud infrastructure engineering
• Embedded or platform systems development
• Large-scale distributed systems validation
• Experience supporting enterprise-scale, cloud, hyperscale, or geographically distributed platforms is highly valued.
• Formal people management is not required. Technical leadership, ownership of testing strategy, and mentoring experience are important.

What Success Looks Like

• The successful candidate should be able to demonstrate examples of solving complex low-level infrastructure problems and improving the quality, performance, or reliability of production-scale systems.
• Relevant accomplishments may include:
• Designing kernel-level test strategies
• Building scalable automated testing frameworks
• Diagnosing difficult kernel or virtualization issues
• Improving performance or reliability through system-level analysis
• Porting and validating kernel modifications across platform versions
• Building or improving continuous testing infrastructure
• Developing performance benchmarks and validation methodologies
• Providing technical leadership across multiple engineering teams

Benefits

• Comprehensive healthcare benefits
• 401(k) savings plan
• Annual bonus or incentive opportunities
• Equity opportunities
• Employee Stock Purchase Plan
• Paid holidays and PTO
• Paid sick time
• Parental and family-friendly benefits
• Employee assistance programs
• Mental and financial wellness resources

Work Location and Authorization

• This position is remote within the United States.
• Candidates must be legally authorized to work in the United States for any employer.
• Visa sponsorship is not available for this position, now or in the future.
• Relocation is not required.

Interview Process

• The selection process is expected to include:
• Technical interview with the Hiring Manager
• Technical panel interviews with discipline and technical leads
• Final non-technical interview with Operations
• Candidates should be comfortable collaborating with distributed engineering teams across multiple U.S. and international time zones.

How to Apply

Please submit your application through this platform with an updated resume and relevant professional information. Candidates should be prepared to provide:

• LinkedIn profile
• Current location
• Work authorization status
• Desired total compensation
• Interview availability

If you enjoy working at the kernel level, building sophisticated automation, diagnosing difficult systems problems, and improving infrastructure at scale, we would like to hear from you.