Systems Engineer - Cloud/Networking/Storage/Automation (TS/SCI w/ Poly)

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)  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

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 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: Ability to brief executives clearly and translate technical issues into business impact

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

*Eligible TS/SCI w/ FS Poly

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 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

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 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: Ability to brief executives clearly and translate technical issues into business impact

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

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!