Software Maintenance Engineer - RHEL

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Maintenance Engineer - RHEL in Canada.

In this role, you will support enterprise customers by providing advanced technical troubleshooting and sustaining engineering for Linux-based environments. You will work directly with users, developers, and engineering teams to diagnose, reproduce, and resolve complex networking and system-level issues. The position involves deep analysis of Linux internals, collaboration across cloud and infrastructure partners, and contribution to knowledge systems and open-source initiatives. You will build expertise in modern networking, virtualization, and software-defined technologies while guiding customers through critical issues. This role is fully remote and requires availability during Pacific Time business hours.

• Accountabilities
• Act as a primary technical advisor for customer inquiries related to networking and Linux environments.
• Deliver high-quality customer experiences through expert troubleshooting, clear communication, and technical professionalism.
• Partner with cloud and infrastructure providers to resolve multi-vendor customer issues.
• Conduct deep investigations into complex networking problems and collaborate with engineering teams to drive long-term solutions.
• Contribute to global knowledge systems and open-source codebases.
• Mentor junior engineers and collaborate with distributed teams to resolve challenging cases.
• Use internal ticketing systems and tools to provide direct customer support.
• Utilize AI-assisted development tools for code generation, analysis, and improved development workflows.
• Maintain availability during Pacific Time working hours, with occasional weekend rotations.
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• Requirements
• 5+ years of software engineering experience, including at least 3 years focused on networking.
• Strong Linux expertise at RHCSA or RHCE level, including in-depth knowledge of kernel internals, memory, locking, and RCU mechanics.
• Deep understanding of network protocols (TCP, UDP, IP, multicast) and software-defined networking technologies (OpenShift, OVS, OVN, Geneve, VXLAN, etc.).
• Experience with advanced protocols such as SCTP, MPTCP, and BGP.
• Expert-level skills in vmcore analysis, debugging crashes, interpreting data structures, and correlating findings with source code.
• Ability to reproduce, analyze, and resolve complex networking bugs under minimal supervision.
• Proficiency with Git, including bisecting regressions and contributing upstream.
• Strong documentation skills, including formal write-ups for complex issues.
• System administration experience and a background in customer-facing technical support.
• Advanced packet capture and protocol analysis skills using tools such as Wireshark.
• Programming experience in C, Python, or Perl for building network-related tests and utilities.
• Familiarity with major cloud platforms such as Azure, AWS, and virtualization via KVM is a plus.
• Experience with debugging tools such as GDB, crash, perf, strace, and ftrace is advantageous.
• Strong problem-solving skills, initiative, and ability to manage priorities effectively.
• Excellent teamwork, communication, and mentoring abilities.
• Strong verbal and written English communication.
• Bachelor’s degree in Computer Science or equivalent professional experience.
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• Benefits
• Fully remote work structure with flexibility across North America.
• Opportunity to work on advanced Linux, networking, cloud, and open-source technologies.
• Exposure to complex engineering challenges with direct impact on enterprise-level environments.
• Collaboration with experienced engineering teams across multiple regions.
• Professional development through open-source contribution, advanced debugging, and cloud ecosystem work.
• Competitive compensation, benefits, and potential wellness or learning perks (depending on partner company).

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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