> Markdown version of [/jobs/ext/3804505-systems-engineer-cloud-networking-storage-automation-ts-sci-w-poly](https://www.wearedevelopers.com/jobs/ext/3804505-systems-engineer-cloud-networking-storage-automation-ts-sci-w-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer - Cloud/Networking/Storage/Automation (TS/SCI w/ Poly) - **Company:** Leading Path Consulting - **Location:** Warrenton, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Applications Architecture, Systems Engineering, Microsoft Azure, Bash Shell, Big Data, BigQuery, CentOS, Cloud Computing, Configuration Management, Cyber Security, Databases, Continuous Integration, Extract Transform Load (ETL), Linux, DevOps, Domain Name System (DNS), Amazon DynamoDB, Middleware, Github, Apache Hadoop, Monitoring of Systems, Hyper-V, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, Routing, NoSQL, Oracle (Applications), Windows PowerShell, Systems Development Life Cycle, Red Hat Enterprise Linux, Redis, Ansible, Tensorflow, Prometheus, Zero Trust Network Access, Cloudera, Azure Machine Learning, Runbook, Software Engineering, Virtualization Technology, Web Services, Data Logging, Scripting, Load Balancing, Pytorch, Snowflake, Grafana, Apache Spark, Reliability of Systems, Firewalls (Computer Science), Cloudformation, Containerization, Gitlab-ci, Git Flow, Kubernetes, Storage Technologies, Information Technology, Cassandra, Data Analytics, Apache Kafka, Data Management, Hardware Infrastructure, Cloudwatch, Terraform, Splunk, Data Pipelines, Devsecops, Docker, Elk Stack, Jenkins, Databricks, Vmware - **Published:** October 17, 2026 - **Apply:** https://www.thejobnetwork.com/job/3bc39f5e-a4b3-4f54-82a4-972bee18e5e1/systems-engineer-cloudnetworkingstorageautomation-tssci-w-poly ## About the Role 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., * 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: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS * 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 (TensorFlow, PyTorch, SageMaker) * Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) * Strong background in ITIL processes and agile methodologies * Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation, * Communication Skills: Ability to brief executives clearly and translate technical issues into business impact, * Recognized SME with deep, hands-on technical expertise * Strong systems thinker with the ability to see and engineer across the full stack * Comfortable operating at both strategic architecture and tactical implementation levels * Excellent communication and collaboration skills across technical and non-technical teams * Proven ability to own complex systems from design through production Requirements *Eligible TS/SCI w/ FS Poly, * 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: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS * 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 (TensorFlow, PyTorch, SageMaker) * Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) * Strong background in ITIL processes and agile methodologies * Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation, * Recognized SME with deep, hands-on technical expertise * Strong systems thinker with the ability to see and engineer across the full stack * Comfortable operating at both strategic architecture and tactical implementation levels * Excellent communication and collaboration skills across technical and non-technical teams * Proven ability to own complex systems from design through production ## Description 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., * 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: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o 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