Sr Staff Software Systems Engineer - Core Mission Systems

Vantor Holdings, Inc.; Denver (CO); Hybrid; USD 150,000 - 210,000; Full time

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

Company Description

Vantor is advancing spatial intelligence to power a more automated and interoperable world. The company enables decision makers and operators to build a unified intelligence picture, providing the clarity needed to understand real‑time events and anticipate future developments. Vantor fuses data from leading imaging satellites with live sensor feeds from space, air, and ground to create a highly accurate, continuously updated digital replica of Earth. Its AI‑driven spatial intelligence platform automates the full intelligence cycle—tasking, collection, and production—to keep insights aligned with the pace of change. Vantor’s products support mission‑critical decisions and connect next‑generation autonomous systems across defense, intelligence, and commercial sectors.

Role Description

The Sr Staff Software Systems Engineer – Core Mission Systems is a full‑time, hybrid role based in the Denver Metropolitan. This role focuses on architecting, designing, and implementing core mission system software that powers Vantor’s spatial intelligence platform, including high‑performance data ingestion, processing pipelines, and real‑time analytics services. Day‑to‑day responsibilities include collaborating with product, operations, and AI teams to define system requirements, designing scalable distributed system architectures, and implementing robust, secure, and reliable services and APIs. The engineer will lead technical decision‑making, conduct design reviews, and guide integration of satellite and sensor data streams into mission workflows. Additional duties include performance optimization, troubleshooting complex system issues, ensuring observability and reliability, and mentoring other engineers to uphold engineering best practices.

Qualifications

• Expertise in distributed systems, microservices architectures, and high‑throughput data processing pipelines, including design for scalability, reliability, and fault tolerance.
• Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization and orchestration (e.g., Docker, Kubernetes), and infrastructure‑as‑code tools.
• Proficiency with data engineering concepts such as streaming frameworks, messaging systems, databases, and data modeling for large‑scale spatial or sensor data.
• Background in systems integration and mission systems engineering, including requirements analysis, architecture definition, and end‑to‑end system validation.
• Knowledge of AI/ML‑driven systems or real‑time analytics platforms, and familiarity with integrating algorithmic components into operational workflows.
• Experience implementing security, access control, and compliance best practices for mission‑critical or sensitive systems.
• Demonstrated ability to lead technical initiatives, mentor engineers, and collaborate effectively with cross‑functional teams