Software Engineer (Python + DevOps + Systems Integration)

Company: EO Solutions

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-10

About this role

Job Title

Software Engineer (Python + DevOps + Systems Integration)

Job ID

27765494

Work Remote

Yes

Location

Remote

Other Location

Description

Join Our Team as a Software Engineer (Python + DevOps + Systems Integration)

*Remote (U.S. Only) | Full-Time | Aerospace & Defense*

About EO Solutions:

EO Solutions is a fast-growing software and prototype manufacturing company committed to transitioning cutting-edge technologies from the research lab to real-world defense applications. Our current focus is building and integrating advanced Space Domain Awareness (SDA) capabilities, including both active and passive sensors. At EO, we value learning, innovation, and problem-solving above all.

Position Overview:

This is a U.S.-based remote position building real-world sensor automation systems. Ideal candidates are strong Python developers who have deployed production-grade software to distributed or containerized environments (cloud, edge, or on-prem). We are looking for engineers who can bridge system design, backend development, and DevOps to contribute to a robust, scalable, and deployable platform that brings these systems to life.

This role sits at the intersection of Python software development, systems integration, and infrastructure automation. You’ll own core components of the architecture, container orchestration, and distributed communications, ensuring our software can operate reliably from the cloud to the edge.

If you’re the kind of engineer who loves turning complex technical problems into elegant, maintainable systems that actually run in the field, this is your environment.

Key Responsibilities

  • **Architect and evolve** the distributed software system that supports **sensor scheduling, orchestration, and data flow** across multiple environments.
  • **Develop and deploy** containerized microservices using **Python, Docker, and Kubernetes** in **cloud, on-premise, and edge** settings.
  • **Implement robust m...

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