Site Reliability Engineer

(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

Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data engineering etc.

Requirements:

Must have total of 6+ experience DevOps / SRE roles with monitoring and observability tools (Prometheus, Grafana, ELK, or cloud-native equivalents) for on-prem and cloud hosted workloads.

Must have 4+ years of Hands-on Linux experience that includes Ubuntu/CentOS/Red Hat operating systems, containers, dependency management and administration support

Must have 4+ years of experience automating Infrastructure-as-Code (IaC) deployments to one of the following cloud platforms Amazon AWS, Google GCP and Microsoft Azure

Must have 4+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Actions

Strong scripting skills (Python, Bash, PowerShell or similar)

Must be proficient using vibe coding and coding assistants to develop scripts, tools and applications for the DevOps and SRE use cases

Must have proficiency to debug or troubleshoot and/or deploying SQL and/or NoSQL databases, object storage, web servers, open-source programming stack for Node.JS, R, Python, .NET Core, Java is desired but not mandatory

Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project

Cloud certifications is preferred

Certifications in Grafana, Splunk, Docker, Kubernetes is preferred but optional

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.