Senior Systems Engineer: Cloud Prem Transformation
Listed on 2026-10-11
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Infrastructure
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, Dev Sec Ops , 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 No
SQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and No
SQL (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, Power Shell, Terraform, Ansible, or Cloud Formation
Configuration management and scripting (Power Shell, Bash, Python, etc.)
CI/CD integration with infrastructure and platforms (Jenkins, Git Lab CI/CD, Git Hub Actions, Git Ops)
Security best practices and system hardening
Monitoring & Incident Response{{{{:}}}} Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, Cloud Watch
Architecture & Design
Ability to create{{{{:}}}}
- As-is architecture documentation
- To-be architecture and detailed engineering designs
- Implementation and migration plans
Observability and monitoring tools (logging, metrics, tracing)
Zero Trust and modern security architectures
Data analytics, AI/ML platform exposure
Experience supporting regulated or mission-critical environments
Relevant certifications (cloud, systems, security, or architecture)
Knowledge of machine learning platforms (Tensor Flow, PyTorch, Sage Maker)
Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, Big Query)
Strong background in ITIL processes and agile methodologies
Certifications{{{{:}}}} AWS Solutions Architect / Dev Ops Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation
Key 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 Dev Ops and Dev Sec Ops pipelines
Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications
Collaborate effectively with{{{{:}}}}
- Infrastructure & Platform Engineers
- Software Engineers
- Dev Ops / Dev Sec Ops Engineers
- Data Engineers (ETL)
- Data Modelers, Data Scientists, and Data Analysts
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
IDEAL CANDIDATE PROFILE
Recognized SME with deep,…
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