Systems Engineer
B/Core
Systems Engineer
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 Chantilly, Virginia.
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:
- 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
Qualifications
Required Qualifications:
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 Qualifications:
- Observability and monitoring tools (e.g., logging, metrics, tracing)
- Zero Trust and modern security architectures
- Data analytics, AL/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, SafeMaker)
- 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
What You Can Expect From Us
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
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