DevOps Engineer/Systems Engineer (Mission Systems)

DevOps Engineer/Systems Engineer (Mission Systems) Location: Mc. Lean, 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

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 Cloud. Watch .

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 Cloud. Watch . 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

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