DevOps Engineer/Systems Engineer (Mission Systems)

Node.Digital

  • McLean, VA
  • 30+ days ago

    Highlights

    Data Operations: Experience managing Lakehouse architectures and data platform components (e.g.,Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs). Systems Integration: Proven ability to deploy and integrate diverse ecosystems, including COTS/GOTS , open-source tools, and custom applications.

    Numbers & Facts

    LocationMcLean, VA

    Description

    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

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