Systems Engineer (Linux, Hardware, Security, DevOps/Automation) - TS/SCI w/ Poly job opportunity at Leading Path Consulting.



Date2026-04-08T15:21:46.834Z bot
Leading Path Consulting Systems Engineer (Linux, Hardware, Security, DevOps/Automation) - TS/SCI w/ Poly
Experience: General
Pattern: Full-time
apply Apply Now
Salary:
Status:

Hardware, Security, DevOps/Automation) - TS/SCI w/ Poly

Copy Link Report
degreeGeneral
loacation McLean, United States
loacation McLean....United States
Auto GPT Summarize Enabled

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) ·        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 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 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) ·        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 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

Other Ai Matches

Software Systems Engineer - TS/SCI w/ FS Poly Applicants are expected to have a solid experience in handling Job related tasks
Data Scientist - TS/SCI w/ Poly required Applicants are expected to have a solid experience in handling Job related tasks
Cloud Solutions Engineer (TS/SCI w/ FS Poly required) Applicants are expected to have a solid experience in handling Job related tasks
Enterprise Architect (Data Processing/Cloud Integration)- TS/SCI w/ Poly require Applicants are expected to have a solid experience in handling Job related tasks