Site Reliability Engineer
Axle - Frederick, MD
Posted Apr 7, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Site Reliability Engineer Frederick, MD (ID: 2025-1135) 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) The Site Reliability Engineer role centers on modernizing and consolidating a complex multi-cloud environment across AWS, Azure, and GCP, building a scalable, secure, and observable platform from the ground up using Kubernetes, AI/ML infrastructure, and zero-trust principles. You'll combine DevOps and SRE practices to support mission-driven scientific and clinical programs, emphasizing automation, reliability, compliance, and proactive monitoring while enabling innovation through AI-driven tooling. The team culture is highly collaborative and growth-oriented, valuing experimentation, continuous learning, and cross-functional leadership, with opportunities to shape future multi-cloud and platform engineering solutions. Responsibilities: - Design and implement enterprise-grade monitoring and observability frameworks (metrics, logs, traces) across distributed systems using
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