Systems Engineer, SME

About the role

Overview Byte Systems, a subsidiary of VTG, is 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.

Responsibilities

• Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications
• Analyze and document as-is infrastructure, platform, and application architectures
• Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives
• Lead and execute cloud and on-prem system implementations, migrations, and upgrades
• Ensure systems meet availability, scalability, performance, security, and compliance requirements
• Integrate infrastructure and platforms with DevOps and DevSecOps pipelines
• Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications
• Collaborate effectively with: Infrastructure & Platform Engineers, Software Engineers, DevOps / DevSecOps Engineers, Data Engineers (ETL), Data Modelers, Data Scientists, and Data Analysts
• Produce clear technical documentation, diagrams, standards, and runbooks
• Serve as a technical authority and escalation point for complex system issues
• Communication Skills: Ability to brief executives clearly and translate technical issues into business impact

Requirements

• 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)
• 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