Senior Systems Engineer (Job ID:4550)

Valkyrie Enterprises

$110K — $130K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • MS in a STEM field and 12+ years of experience in software integration, systems engineering, or enterprise architecture.
  • Experience with API design and integration.
  • Working knowledge of model-based systems engineering (MBSE) and SysML.
  • Proven experience in building enterprise dashboards.
  • Experience with cloud environments and container technologies.

Responsibilities

  • Combine expertise in API integration, cloud architecture, model-based systems engineering, and digital engineering to enhance operational capabilities.
  • Lead onboarding and integration of external software and AI tools.
  • Design secure API-based integrations and data exchange architectures.
  • Implement AI-enabled digital ecosystems for human-machine teaming.
  • Develop architectures for APIs, data services, knowledge graphs, and AI orchestration frameworks.
  • Develop common data models to improve interoperability and support tactical operations.
  • Make technical recommendations to government leadership.

Benefits

  • Medical, dental, and vision insurance options.
  • Company-paid life and disability insurance.
  • 401k plan with company match.
  • Education reimbursement to support further learning.
  • Paid holidays and paid time off (PTO).
Full Job Description
Senior Systems Engineer

Contingent upon prime contractor approval

Purpose:
  • Valkyrie Enterprises has need for a Senior Systems Engineer in Huntsville, AL or Colorado Springs, CO
  • In this role you will get to provide digital ecosystem, cloud architecture, and Model-based System Engineering expertise in support of the Missile Defense Agency Chief Digital Officer (CDO) mission

Job Description:
  • Able to combine expertise in API integration, cloud architecture, model-based systems engineering, dashboard development, DevSecOps, tactical interoperability, and digital engineering to coordinate and accelerate delivery of operational capabilities.
  • Lead onboarding and integration of external software, models, simulations, AI tools, and operational capabilities.
  • Design and implement secure API-based integrations and data exchange architectures.
  • Design and implement AI-enabled digital ecosystems supporting human-machine teaming.
  • Develop integration architectures connecting APIs, data services, semantic layers, knowledge graphs, and AI orchestration frameworks.
  • Implement semantic data models and ontologies to improve AI reasoning and data discoverability.
  • Develop AI-ready data pipelines that transform structured and unstructured data into consumable knowledge assets.
  • Integrate Large Language Models (LLMs), agentic AI frameworks, and workflow automation services into enterprise environments.
  • Develop enterprise dashboards and common operational pictures.
  • Support MBSE activities using SysML, activity diagrams, and block diagrams.
  • Develop common data models and integration standards.
  • Support tactical interoperability including Link 16 and gateway architectures.
  • Support DevSecOps pipelines and cloud-native deployments.
  • Provide technical recommendations to government leadership.

Qualifications:
  • Must have a MS in STEM field, and at least 12+ years related experience in software integration, systems engineering, or enterprise architecture.
  • Must have experience with API design and integration.
  • Must have working knowledge of MBSE and SysML.
  • Must have experience building enterprise dashboards.
  • Must have experience with cloud environments and container technologies.

Desired Qualifications:
  • Experience supporting DoD programs, preferred.
  • Experience with Cameo, MagicDraw, Sparx EA, or Rhapsody, preferred.
  • Experience with Power BI, Tableau, Grafana, or Kibana, preferred.
  • Experience with Kubernetes, GitLab, Terraform, and CI/CD pipelines, preferred.
  • Knowledge of Link 16, tactical data links, and C2 architectures, preferred.
  • Knowledge of AI-enabled workflows and digital engineering ecosystems to include Semantic Search, RAG Architectures, LLM Integration, Agentic AI Frameworks, AI Orchestration Platforms, and Data Fabric Architectures, preferred.

Security Requirements:
  • Must have an Active or Interim Secret clearance and the ability to maintain it.

Travel Requirements:
  • Minimal Travel; 10% or less
  • If position requires travel by domestic flight or access to secure federal facilities/military bases, candidate must be able to obtain (by start of position) and maintain appropriate identification credentials, such as REAL ID. (More information regarding REAL ID can be found: https://www.dhs.gov/real-id)

Physical Requirements:
  • Remaining in a stationary position, often standing, or sitting for prolonged periods
  • Able to sit and work on a computer for long periods of time
  • Moving about to accomplish tasks or moving from one worksite to another
  • Communicating with others to exchange information
  • Light work that includes moving objects up to 20 pounds

Pre-Employment Requirements:

Any offer of employment with Valkyrie Enterprises is contingent upon the successful completion of all applicable pre-employment requirements. Depending on the position, these may include a criminal background investigation, employment and education verification, pre-employment drug screening, driving record review, security clearance eligibility, government installation access, and any other customer or contract-specific requirements. Failure to successfully meet any required pre-employment condition may result in the withdrawal of the contingent offer of employment.

Additionally, Valkyrie Enterprises provides a variety of benefits to eligible employees to support your best health, wellness, and future, to include medical/dental/vision options, company paid life and disability insurances, 401k with match, education reimbursement, as well as company paid holidays and paid time off (PTO).

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