Systems Architect - TS/SCI w/ Poly required
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Before you apply
LocationWarrenton, Virginia, United States
Typefull-time
SeniorityLead
Experience10+ yrs
DepartmentGovernment
Company size51–200 people
PostedOct 13, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, IT or related technical discipline, or equivalent combination of education, technical training, or work/military experience
Minimum ten (10) years of related experience
Enterprise networking (routing, switching, firewalls, load balancers, DNS)
Storage technologies (SAN, NAS, object storage)
Container platforms (Kubernetes, Docker)
Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
IdAM – Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ
Cloud platforms (AWS, Azure, and/or GCP)
Hybrid and on-prem infrastructure design and integration
Cloud networking, identity, security, and cost optimization
Relational and NoSQL databases
Web services, APIs, and middleware
Software development lifecycle (SDLC) fundamentals
Event-based messaging systems (SQS, SNS, RabbitMQ)
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, ArgoCD)
Security best practices and system hardening
Monitoring & Incident Response: Prometheus, Grafana, Splunk, ELK Stack, CloudWatch
Ability to create as-is architecture documentation, to-be architecture and detailed engineering designs, implementation and migration plans
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
Observability and monitoring tools (logging, metrics, tracing)
Zero Trust and modern security architectures
Data analytics, AI/ML platform exposure
Experience supporting production 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, BigQuery)
Strong background in ITIL processes and agile methodologies
Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation
Skills
Kubernetes
Docker
Linux
RedHat
CentOS
AWS
Azure
GCP
Oracle
PostgreSQL
MySQL
SQL Server
MongoDB
Cassandra
DynamoDB
Redis
Python
Bash
PowerShell
Terraform
Ansible
CloudFormation
Jenkins
GitLab CI/CD
GitHub Actions
GitOps
ArgoCD
Prometheus
Grafana
Splunk
ELK Stack
CloudWatch
TensorFlow
PyTorch
SageMaker
Hadoop
Databricks
Snowflake
BigQuery
SQS
SNS
RabbitMQ
PKI
Benefits
Health insurance
Dental insurance
Vision insurance
PTO
Paid holidays
401(k)
Tuition reimbursement
Training
Bonus
About the role
We are seeking a hands-on Systems Architect (SME) with deep expertise across infrastructure, platforms, and
application ecosystems 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 doer, not just an advisor – someone 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.
Requirements
QUALIFICATIONS
Bachelor’s degree in Computer Science, IT or related technical discipline, or the equivalent combination of
education, technical training, or work/military experience.
Minimum ten (10) years of related experience
REQUIRED KNOWLEDGE/SKILLS
Candidates 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)
Container platforms (e.g., Kubernetes, Docker)
Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
IdAM – Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ
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
Web services, APIs, and middleware
Software development lifecycle (SDLC) fundamentals
Event-based messaging systems (e.g., SQS, SNS, RabbitMQ)
Engineering & Automation
Infrastructure as Code – Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or
CloudFormation
Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.)
CI/CD integration with infrastructure and platforms (e.g., Jenkins, Gitlab CI/CD, GitHub Actions, GitOps,
ArgoCD)
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
Nice to have
DESIRED KNOWLEDGE/SKILLS
Observability and monitoring tools (e.g., logging, metrics, tracing)
Zero Trust and modern security architectures
Data analytics, AI/ML platform exposure
Experience supporting production or mission-critical environments
Relevant certifications (e.g., cloud, systems, security, or architecture)
Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker)
Familiarity with big data ecosystems (e.g., 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
Responsibilities
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
Work with the System Architect and Cloud Architect to create the detail 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
Communication Skills:
o Ability to brief executives clearly and translate technical issues into business impact
o Ability to work across organizations (internal and IC) to implement complex solutions
Ideal Candidate Profile
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
QUALIFICATIONS
Bachelor’s degree in Computer Science, IT or related technical discipline, or the equivalent combination of
education, technical training, or work/military experience.
Minimum ten (10) years of related experience
REQUIRED KNOWLEDGE/SKILLS
Candidates 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)
Container platforms (e.g., Kubernetes, Docker)
Linux (Redhat, CentOS) operating systems (administration, hardening, automation)
IdAM – Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ
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
Web services, APIs, and middleware
Software development lifecycle (SDLC) fundamentals
Event-based messaging systems (e.g., SQS, SNS, RabbitMQ)
Engineering & Automation
Infrastructure as Code – Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or
CloudFormation
Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.)
CI/CD integration with infrastructure and platforms (e.g., Jenkins, Gitlab CI/CD, GitHub Actions, GitOps,
ArgoCD)
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 KNOWLEDGE/SKILLS
Observability and monitoring tools (e.g., logging, metrics, tracing)
Zero Trust and modern security architectures
Data analytics, AI/ML platform exposure
Experience supporting production or mission-critical environments
Relevant certifications (e.g., cloud, systems, security, or architecture)
Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker)
Familiarity with big data ecosystems (e.g., 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
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
Work with the System Architect and Cloud Architect to create the detail 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
Communication Skills:
o Ability to brief executives clearly and translate technical issues into business impact
o Ability to work across organizations (internal and IC) to implement complex solutions
Ideal Candidate Profile
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
Benefits
About the company
Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
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