DevOps Engineer/Systems Engineer (Mission Systems)
Location: McLean, VA
Must have an active TS/SCI FS Poly
Role Overview:
Join a specialized engineering team dedicated to designing, implementing, and maintaining enterprise-grade mission systems, networks, and applications. You will play a critical role in driving DevOps excellence, ensuring high availability, and automating complex cloud infrastructures.
Requirements
Mandatory Skills
- CI/CD & Automation: Proven experience building and managing robust pipelines with Jenkins (required).
- Infrastructure as Code (IaC): Strong proficiency in Terraform (required) for provisioning scalable AWS environments.
- AWS Expertise: Deep hands-on experience with core services, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudWatch.
- Scripting: Advanced proficiency in Bash and Python (both required) for automation and systems integration.
- Containerization: Experience managing containerized workloads using Docker or Podman.
- Database Administration: Experience self-hosting, tuning, and securing PostgreSQL and MySQL, including high-availability and recovery strategies.
- Observability: Hands-on experience with monitoring and alerting stacks, specifically Prometheus/Alertmanager and CloudWatch.
- Systems Integration: Proven ability to deploy and integrate diverse ecosystems, including COTS/GOTS, open-source tools, and custom applications.
- Architecture & Security: Strong grasp of networking fundamentals, IAM policy hardening, and AWS Well-Architected best practices.
- Version Control: Expert knowledge of Git-based workflows, branching strategies, and repository management.
Preferred Skills
- Data Operations: Experience managing Lakehouse architectures and data platform components (e.g.,Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs).
- Security & Governance: Familiarity with AWS Secrets Manager/Parameter Store and modern API gateway patterns.
- Resiliency & Planning: Knowledge of enterprise Disaster Recovery (DR) and Business Continuity Planning (BCP).
- Advanced Workloads: Background in supporting AI/ML model-serving infrastructure or NoSQL environments (DynamoDB, MongoDB).
- Efficiency: Experience with AWS cost optimization and right-sizing strategies.
- Full-Stack Monitoring: Familiarity with the ELK Stack and Grafana for advanced visualization.
- Leadership: Experience mentoring junior team members and championing DevOps/Cloud-native best practices.
Benefits
We are proud to offer competitive compensation and benefits packages to include
- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training