Systems Engineer

Overview

Systems Engineer Warrenton / Tysons, VA TS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

 

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Systems Engineer in Warrenton or Tysons, Virginia.

Responsibilities

• We are seeking a hands-on Systems Engineer (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 systems 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. 

Qualifications

Required Qualifications:   

• Bachelor’s Degree in Computer Science or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience
• Minimum ten (10) years of related systems engineering experience

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 systems 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 Qualifications:

• 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