IT Operations Technical Lead

About this role

(ID: 2026-1538)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees

• Paid Time Off and Paid Holidays

• 401K match up to 5%

• Educational Benefits for Career Growth

• Employee Referral Bonus

• Flexible Spending Accounts:

• Healthcare (FSA)

• Parking Reimbursement Account (PRK)

• Dependent Care Assistant Program (DCAP)

• Transportation Reimbursement Account (TRN)

Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML.

Responsibilities:

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Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management

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Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure

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Own and drive incident response, root cause analysis, and service restoration for mission-critical systems

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Design, build, and maintain golden images, patching strategies, and system hardening standards

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Lead patch management and vulnerability remediation programs ensuring compliance and system integrity

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Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil

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Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning

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