Software Engineer (Python + DevOps + Systems Integration)

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 messaging and event pipelines for real-time communication between sensors, services, and operators (Kafka, NATS, RabbitMQ, etc.).

• Optimize for performance and reliability, ensuring low-latency, high-availability operation in challenging field and mission conditions.

• Collaborate cross-functionally with scientists, developers, and mission operators to integrate new features, algorithms, and hardware into the platform.

• Define and enforce engineering best practices for CI/CD, observability, system testing, and deployment automation.

• Contribute to system security and compliance, including container hardening, authentication, and secure configuration management.

• Prototype and deliver quickly, balancing experimentation with disciplined software engineering.

Required Qualifications

• 5+ years of professional experience in software engineering with a strong foundation in Python

• Proven experience with containerized microservices and Kubernetes orchestration

• Solid understanding of distributed systems, networking, and service-to-service communication

• Experience building and maintaining CI/CD pipelines and automated deployment systems

• Familiarity with observability stacks (metrics, tracing, logging) and system monitoring practices

• Experience with both cloud-based and on-premise/edge software deployments

• Bachelor’s or Master’s degree in Computer Science, or a related technical field from a U.S. institution

• U.S. Citizenship required

Preferred Qualifications

• Familiarity with astrodynamics, orbital mechanics, or Space Domain Awareness (SDA)

• Exposure to DevOps practices, CI/CD pipelines, and test automation

• Experience working with real-world sensor systems (e.g., cameras, telescopes, RF sensors)

• Working knowledge of streaming architectures and time-series data processing

• Contributions to open-source projects or demonstrated independent technical initiatives

Technical Environment

You’ll be working in a modern, modular environment with:

• Languages: Python (primary)

• Containers & Orchestration: Docker, Kubernetes, Helm

• Messaging & Data Flow: Kafka, NATS, RabbitMQ, ZeroMQ

• Datastores: PostgreSQL, MongoDB, Redis

• DevOps Tooling: GitLab CI/CD, Argo, Terraform, Prometheus, Grafana

• Deployment Targets: AWS, self-hosted clusters, and edge nodes

Ideal Candidate Profile

You are:

• A system-level thin…