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Remote Dod Software Engineer Jobs in Alabama (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

In this role, you will directly contribute to that mission by ensuring our software provides a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

In this role, you will directly contribute to that mission by ensuring our software provides a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description Are you passionate about software and eager ...

New

Expert knowledge of Cloud Computing, FedRAMP, FISMA, NIST/DoD RMF, and NIST SP 800-series ... Knowledge of the Software Development Lifecycle (SDLC) as it relates to Information Security and ...

... remote) location. PeopleTec is seeking a Junior Analytics Engineer to support the TAPO H47 ER ... The role works with analysts, engineers, software developers, and operational SMEs to prepare ...

New

... remote) location. PeopleTec is seeking a Junior Analytics Engineer to support the TAPO H47 ER ... The role works with analysts, engineers, software developers, and operational SMEs to prepare ...

New

Software Development Manager

Huntsville, AL · On-site +1

$121K - $160K/yr

This position offers the opportunity to mentor talented engineers, foster innovation, and deliver ... Experience managing remote or distributed teams in fast-paced, growth-oriented settings.

Showing results 21-40

Remote Dod Software Engineer information

What skills and qualifications are needed to thrive as a Remote DoD Software Engineer?

To thrive as a Remote DoD Software Engineer, you need strong programming skills, knowledge of secure software development practices, and a relevant degree—often with active security clearance. Familiarity with languages like Java, C++, or Python, experience with DoD-approved development environments, and certifications such as Security+ or CISSP are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for remote collaboration and adhering to strict security protocols. These skills ensure the development of secure, reliable software that meets defense standards while maintaining effective teamwork and compliance in a remote setting.

What is a Remote DoD Software Engineer?

A Remote DoD Software Engineer is a professional who develops, tests, and maintains software systems for the U.S. Department of Defense (DoD) while working from a remote location. These engineers play a critical role in creating secure and reliable applications that support military and defense operations. They must often meet strict security and technical requirements, including obtaining security clearances and following DoD-specific software development standards. Remote DoD Software Engineers collaborate with multidisciplinary teams using secure communication tools and are responsible for ensuring their work complies with government regulations and cybersecurity protocols.

What are some unique challenges faced by Remote DoD Software Engineers, and how can they be addressed?

Remote DoD Software Engineers often encounter challenges related to secure access and communication, since much of their work involves handling sensitive or classified information. Navigating stringent cybersecurity protocols, such as working within secure VPNs or using government-approved devices, can be complex and may require additional onboarding. To address these challenges, engineers should proactively communicate with IT and security teams, stay updated on compliance requirements, and leverage secure collaboration tools provided by their organization. Building strong virtual relationships with teammates and participating in regular check-ins also help maintain project momentum and cohesion.

What is the difference between Remote Dod Software Engineer vs Remote Cybersecurity Analyst?

AspectRemote Dod Software EngineerRemote Cybersecurity Analyst
Required CredentialsBachelor's in CS or related field, security clearance often preferredBachelor's in Cybersecurity, IT, or related field, security clearance often preferred
Work EnvironmentDeveloping, testing, and maintaining software for defense systems remotelyMonitoring, analyzing, and protecting systems remotely for defense agencies
Employer & Industry UsageU.S. Department of Defense, defense contractorsU.S. Department of Defense, defense contractors, cybersecurity firms

The Remote Dod Software Engineer and Remote Cybersecurity Analyst roles both require security clearances and work within defense-related industries. While the Software Engineer focuses on developing and maintaining software systems remotely, the Cybersecurity Analyst concentrates on protecting and analyzing security threats remotely. Both roles are essential in defense technology, but they differ in daily tasks and technical focus.

What are the most commonly searched types of Dod Software Engineer jobs in Alabama?

The most popular types of Dod Software Engineer jobs in Alabama are:

What job categories do people searching Remote Dod Software Engineer jobs in Alabama look for?

The top searched job categories for Remote Dod Software Engineer jobs in Alabama are:

What cities in Alabama are hiring for Remote Dod Software Engineer jobs?

Cities in Alabama with the most Remote Dod Software Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Mobile, AL • Remote

$80 - $110/hr

Part-time

Posted 12 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.