DevOps Engineer/Systems Engineer (Mission Systems)

Location: McLean, VA Must have an active TS/SCI FS Poly

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.

- 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.

- 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.

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