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Leading Path Consulting is looking for a Systems Engineer (SME) with expertise in cloud and on-premises environments. Your responsibilities include hands-on system implementations, analyzing existing systems, and designing future solutions.
The ideal candidate will have significant experience in systems engineering, enterprise networking, and various cloud platforms. Benefits include fully paid medical premiums, 401(k) contributions, generous PTO, and continuous professional development opportunities.
We are seeking a hands-on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystem spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as-is") systems and applications, document current state architectures, design future-state solutions, and implement system enhancements or technology transformations end-to-end.
The ideal candidate is a technical leader and achiever who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security.
Qualifications
Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
Minimum ten (10) years of related systems engineering experience
Required Knowledge/Skills
The candidate must demonstrate hands-on experience in all the following areas{{{{:}}}}
Infrastructure & Platforms
Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS)
Storage technologies (e.g. SAN, NAS, object storage)
Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker)
Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
Data platforms (HPCC, Hadoop/Cloudera)
Cloud & On-Prem Technologies
Cloud platforms (AWS, Azure, and/or GCP)
Hybrid and on-prem infrastructure design and integration
Cloud networking, identity, security, and cost optimization
Data & Application Platforms
Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases
Data platforms (HPCC, Hadoop/Cloudera)
Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks
Web services, APIs, and middleware
Software development lifecycle (SDLC) fundamentals
Engineering & Automation
Infrastructure as Code - Scripting & Automation{{{{:}}}} Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation
Configuration management and scripting (PowerShell, Bash, Python, etc.)
CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps)
Security best practices and system hardening
Monitoring & Incident Response{{{{:}}}} Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch
Architecture & Design
Ability to create{{{{:}}}}