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Remote Software Engineer Military Jobs in Springfield, MO

iOS Engineer -Remote

Springfield, MO ยท Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Senior Developer - Policy

Springfield, MO ยท On-site +1

$46.50 - $61.50/hr

Solid understanding of software development life cycle, especially Agile environments * Experience ... Flexible work arrangements (remote or office-based in Springfield, MO; Puerto Rico; or Honduras)

Remote Software Engineer Military information

See Springfield, MO salary details

$57.8K

$134.2K

$186.9K

How much do remote software engineer military jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote software engineer military in Springfield, MO is $134,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $157,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Software Engineer Military vs Remote Software Engineer Civilian?

AspectRemote Software Engineer MilitaryRemote Software Engineer Civilian
CredentialsTypically requires security clearances, military-specific training, and coding certificationsRequires standard software development certifications and degrees
Work EnvironmentOften in secure, military facilities or remote military projectsPrimarily in corporate or tech company settings
Employer & IndustryMilitary branches, defense contractors, government agenciesTech companies, startups, corporate IT departments
Search & Comparison IntentPeople comparing military vs civilian software engineering rolesIndividuals exploring differences between military and civilian software engineering

The main difference between a Remote Software Engineer Military and a Remote Software Engineer Civilian lies in credentials, work environment, and employer type. Military roles often require security clearances and work within defense or government projects, while civilian roles focus on commercial software development in corporate settings.

How does being a remote software engineer for military projects differ in terms of collaboration and security requirements compared to civilian roles?

As a Remote Software Engineer working on military projects, you'll often collaborate with cross-functional teams that may include security specialists, project managers, and stakeholders from government agencies. Unlike typical civilian roles, additional security protocols will be in place, such as secure communication channels and strict access controls. You may be required to obtain security clearances and adhere to rigorous compliance standards like DoD regulations. While remote work provides flexibility, it also demands heightened vigilance regarding data protection and regular coordination with both technical and non-technical team members.

What is a remote software engineer military?

A Remote Software Engineer Military is a software engineer who works off-site to develop, maintain, and improve software systems used by the military. These professionals design and implement software solutions for defense-related applications, which may include cybersecurity, communications, logistics, or mission planning. They must often meet strict security and compliance requirements, and may need security clearance depending on the nature of the projects. Their work enables military operations to remain technologically advanced while allowing engineers to work from various locations.

What are the key skills and qualifications needed to thrive as a remote software engineer in a military setting, and why are they important?

A Remote Software Engineer in the military typically requires strong programming skills (such as Python, Java, or C++), a relevant degree in computer science or engineering, and often security clearance due to sensitive projects. Familiarity with secure coding practices, military-grade encryption tools, and version control systems like Git is essential, and certifications like Security+ or CISSP can be advantageous. Exceptional problem-solving, communication, and the ability to work independently while adhering to strict security protocols are important soft skills. These qualifications ensure the engineer can deliver secure, reliable software solutions that meet the rigorous demands and confidentiality requirements of military operations.
What are the most commonly searched types of Software Engineer Military jobs in Springfield, MO? The most popular types of Software Engineer Military jobs in Springfield, MO are:
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What job categories do people searching Remote Software Engineer Military jobs in Springfield, MO look for? The top searched job categories for Remote Software Engineer Military jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Remote Software Engineer Military jobs? Cities near Springfield, MO with the most Remote Software Engineer Military job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO โ€ข Remote

Full-time

Re-posted 14 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.