Systems Engineer

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., * 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:

• Infrastructure & Platform Engineers
• Software Engineers
• DevOps / DevSecOps Engineers
• Data Engineers (ETL)
• 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
• Ability to work across organizations (internal and IC) to implement complex solutions

• 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, 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:

• As-is architecture documentation
• To-be architecture and detailed engineering designs
• 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, * 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

A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.