Sr. Staff Real-Time Mission Systems Architect

Vantor Holdings, Inc.

Denver (CO)

Hybrid

USD 150,000 - 210,000

Full time

9 days ago
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Job summary

Vantor Holdings, Inc. is seeking a Sr Staff Software Systems Engineer – Core Mission Systems in a full‑time hybrid role based in the Denver Metropolitan area.

You will architect, design, and implement core mission system software that powers Vantor’s spatial intelligence platform, including high‑performance data ingestion, processing pipelines, and real‑time analytics services. Collaborate with product, operations, and AI teams to define requirements, design scalable distributed architectures,

Qualifications

  • Expertise in distributed systems, microservices, and high-throughput data processing.
  • Experience with cloud platforms and containerization (Docker, Kubernetes).
  • Data engineering focus for large-scale spatial or sensor data.
  • Background in systems integration and mission systems engineering.
  • Knowledge of AI/ML-driven real-time analytics and integrating algorithms.
  • Security, access control, and compliance for mission-critical systems.

Responsibilities

  • Architect, design, and implement core mission system software for the platform.
  • Define system requirements with product, operations, and AI teams.
  • Design scalable distributed architectures and robust APIs.
  • Lead technical decisions and design reviews.
  • Integrate satellite and sensor data streams into mission workflows.
  • Optimize performance, ensure observability and reliability.
  • Mentor engineers and promote engineering best practices.

Skills

Distributed systems
Microservices
High-throughput data
Real-time analytics
Leadership

Tools

Docker
Kubernetes
AWS
Azure
GCP

Job description

Vantor Holdings, Inc. is seeking a Sr Staff Software Systems Engineer – Core Mission Systems in a full‑time hybrid role based in the Denver Metropolitan area.

You will architect, design, and implement core mission system software that powers Vantor’s spatial intelligence platform, including high‑performance data ingestion, processing pipelines, and real‑time analytics services. Collaborate with product, operations, and AI teams to define requirements, design scalable distributed architectures,

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