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General Dynamics - IT is seeking a hands-on Technical Engineering Lead to ensure mission success across enterprise infrastructure, platforms and cloud environments. You will serve as the technical authority for complex system issues, driving modernization, optimization and secure, compliant operations.
You will lead cross-functional teams to implement and upgrade cloud and on‑prem solutions, while creating detailed design artifacts, engineering docs and leadership briefings.
At GDIT, people are our differentiator. As a Technical Engineering Lead, you will help ensure today is safe and tomorrow is smarter. Our work depends on a strong Technical Engineering Lead joining our team to make a positive impact on the client’s mission. We are seeking a hands‑on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and customer environments, and to serve as a technical authority for complex system issues.
Demonstrated experience performing hands‑on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications. Demonstrated experience analyzing and documenting as‑is infrastructure, platform, and application architecture. Demonstrated experience creating detail engineering design for modernization, optimization, and transformation initiatives working with System and Cloud Architect. Demonstrated experience leading and executing cloud and system implementations, migrations, and upgrades. Ensure systems meet availability, scalability, performance, security, and compliance requirements. Demonstrated experience integrating infrastructure and platforms with DevOps and DevSecOps pipelines. Demonstrated experience troubleshooting complex, cross‑stack issues within the infrastructure, platforms, and applications. Demonstrated experience collaborating across multiple teams and stakeholders to address and escape complete system issues. Demonstrated experience developing technical documentation, diagrams, standards and associated documents. Ability to brief leadership, translate technical issues into business impact.
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 9SDLC) 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, T‑be architecture and detailed engineering design, Implementation and migration plans.
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 CKS/CKAD, ITIL Foundation.
Education: Bachelor of Science in Computer Science, Engineering, or other IT‑related discipline, or the equivalent combination of education, technical certifications or training, or work experience.
Experience: 15+ years.
Security clearance level: TS/SCI with Polygraph.
Location: Tyson's, VA (On Customer Site).
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting‑edge technology you can learn from
Rest and recharge with paid vacation and holidays #WeAreGDIT#JET#GDITEnhanced2026#VA_2026Alumni