Axle~20d ago

USD 140000-155000/yr

Site Reliability Engineer

Frederick,Frederickmid

EngineeringDevOps & InfrastructureSite Reliability EngineerDevops EngineerInfrastructure & Cloud

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Quick Summary

Key Responsibilities

Design and implement enterprise-grade monitoring and observability frameworks (metrics, logs, traces) across distributed systems using enterprise Splunk,

Requirements Summary

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

Technical Tools

EngineeringDevOps & InfrastructureSite Reliability EngineerDevops EngineerInfrastructure & Cloud

(ID: 2025-1135)

What We Offer

~5 min read

✓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)

✓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.

✓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