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Axle

Site Reliability Engineer

Frederick, MD; Axle Informatics LLCUnited States
Information Technology
POSTED 7 APR
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Pay · posted
$140k–155k
mkt median $182k
Open for
213d
since 7 Apr
H-1B · FY25
1
certified LCAs
Hiring · 30d
58
+5 net · open roles
AWSGCPAzureKubernetesDockerDistributed systems

(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 enterprise Splunk, Grafana and Open-telemetry tools

Establish and manage SLIs, SLOs, and error budgets to drive reliability improvements

Develop and maintain real-time asset inventory systems across cloud, on-prem, and hybrid environments

Automate workload onboarding and offboarding processes, ensuring standardization and governance

Track system ownership, dependencies, and lifecycle states for operational transparency

Build proactive detection mechanisms using AIOps and intelligent alerting to minimize incident impact

Design and operate scalable, resilient, and secure infrastructure platforms across cloud and hybrid environments

Implement automated compliance tracking and enforcement aligned with organizational and regulatory standards (e.g., NIST, FISMA, FedRAMP)

Embed ITIL processes (incident, change, problem, configuration management) into SRE workflows

Build and maintain automated deployment environments and pipelines that enforce security, compliance, and operational standards

Develop “golden paths” and standardized platform templates for consistent workload deployment

Automate provisioning, patching, configuration management, and environment lifecycle

Leverage AI/ML coding assistants and vibe coding practices to rapidly develop automation scripts, tools, and internal platforms

Integrate AI-driven tooling into DevOps pipelines for code quality, security scanning, and operational insights

Lead adoption of AI-enhanced SRE practices, including intelligent remediation and predictive operations

Champion DevOps and SRE practices including Infrastructure as Code, CI/CD, observability, and reliability engineering

Build developer-friendly platforms (“golden paths”) that simplify deployments, reduce friction, and improve velocity

Enable and optimize infrastructure for AI/ML workloads, including data pipelines, storage systems, and inference environments, GPU-enabled and high-performance compute workloads

Build and manage containerized and orchestrated platforms (Docker, Kubernetes)

Support cloud migration, modernization, and platform standardization initiatives

Ensure systems meet security, compliance, backup, and disaster recovery requirements

Evangelize and promote best practices in DevOps, SRE, and platform engineering to developer communities

Source · AxleFirst seen 2 NovOriginal ↗