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Full Stack Developer Contract Jobs in New Mexico

Job #218562 Chipton-Ross is seeking 2 Software Engineer-Developer 5's for a contract opportunity in ... The Rocky program is building a unique ground space mission system with full stack and embedded ...

Supabase Tutor

Albuquerque, NM · Remote

$18 - $40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

The ideal candidate will have full-stack experience, with exposure to technologies such as React ... and developer experience. * Drive continuous improvement in delivery, quality and operational ...

.Net Developer

Apodaca, NM · On-site

$47.75 - $63/hr

The ideal candidate will be responsible for full-stack development, including the creation and ... The Software Developer will analyze system requirements, design, develop, test, debug, and ...

Showing results 41-60

Full Stack Developer Contract information

See New Mexico salary details

$23

$57

$83

How much do full stack developer contract jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full stack developer contract in New Mexico is $57.43, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $66.15 per hour, depending on experience, location, and employer.

What are some common challenges full stack developers face when working on contract projects?

As a contract Full Stack Developer, you may encounter challenges such as adapting quickly to new codebases, tools, and team workflows, since contract roles often require rapid onboarding. Balancing front-end and back-end tasks within tight deadlines can be demanding, especially when project requirements change or are not clearly defined. Additionally, frequent communication with both technical and non-technical stakeholders is essential to ensure alignment and successful project delivery. Staying organized and proactive in managing your workload will help you handle these challenges effectively.

What is a full stack developer contract?

A Full Stack Developer Contract refers to a temporary or project-based employment arrangement where a developer is responsible for both front-end and back-end aspects of web or software development. Full stack developers are skilled in multiple technologies, enabling them to handle databases, servers, systems engineering, and client-facing interfaces. Contract roles often provide flexibility for both the employer and the developer, and can range from short-term projects to longer engagements. These positions are typically filled by experienced professionals who can quickly adapt to different technologies and project needs.

What are the key skills and qualifications needed to thrive as a full stack developer on contract, and why are they important?

To thrive as a Full Stack Developer on contract, you need strong proficiency in both front-end (e.g., JavaScript, HTML/CSS, frameworks like React or Angular) and back-end (e.g., Node.js, Python, Java, databases) development, typically demonstrated through a relevant degree or portfolio. Familiarity with version control systems (like Git), CI/CD pipelines, cloud platforms (AWS, Azure), and sometimes certifications in specific technologies is highly valued. Excellent problem-solving, time management, and communication skills help you collaborate effectively and deliver results within tight deadlines. These abilities ensure you can independently manage diverse project requirements and consistently deliver high-quality, scalable software solutions for clients.

What is the difference between Full Stack Developer Contract vs Front End Developer Contract?

AspectFull Stack Developer ContractFront End Developer Contract
Required SkillsProficiency in both front-end and back-end technologies, databases, server managementExpertise in HTML, CSS, JavaScript, UI/UX design, front-end frameworks
Work EnvironmentDevelops complete applications, often involved in both client and server-side tasksFocuses on user interface, visual elements, and client-side functionality
Common UsageUsed across startups, tech companies, and agencies needing versatile developersPrimarily in front-end design agencies, web development firms, and client-facing projects

Full Stack Developer Contract roles require a broad skill set covering both front-end and back-end development, making them suitable for versatile projects. Front End Developer Contract positions focus specifically on user interface and experience. Understanding these differences helps employers and freelancers choose the right role for their needs.

What are the most commonly searched types of Full Stack Developer jobs in New Mexico? The most popular types of Full Stack Developer jobs in New Mexico are:
What are popular job titles related to Full Stack Developer Contract jobs in New Mexico? For Full Stack Developer Contract jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Full Stack Developer Contract jobs in New Mexico look for? The top searched job categories for Full Stack Developer Contract jobs in New Mexico are:
What cities in New Mexico are hiring for Full Stack Developer Contract jobs? Cities in New Mexico with the most Full Stack Developer Contract job openings:
Infographic showing various Full Stack Developer Contract job openings in New Mexico as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,450 per year, or $57.4 per hour.

Machine Learning / Software Engineer

Vector Resources, Inc

Kirtland Air Force Base, NM • On-site

$110K - $150K/yr

Full-time

Re-posted 8 days ago


Job description

Summary:
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex. This role combines building production ML systems and AI-powered applications with advancing the enterprise toward digital thread, digital twin, and model-based approaches. The position requires a tech-forward engineer who can develop LLM-integrated solutions for process automation, architect data integration frameworks for digital engineering initiatives, lead software development teams building predictive models with user interfaces, and establish technical strategies that position the team as leaders in enterprise digital transformation.
Work spans three key domains: (1) AI/ML automation including LLM integration for enterprise taxonomy standardization, predictive modeling systems, and process automation; (2) Digital engineering leadership to advance digital thread, digital twin, and model-based systems engineering capabilities; (3) Full-stack software development leading teams building applications with modern interfaces and data integration. This position offers the opportunity to shape how a large, complex enterprise modernizes its technical capabilities across weapons acquisition, sustainment, and logistics programs. Specific duties include:
AI/ML:
• Build and deploy AI/ML systems using LLMs and NLP to automate enterprise processes, including developing solutions to standardize part taxonomies across hundreds of thousands of components from disparate sites by intelligently mapping unique naming conventions to common UNSPSC codes.
• Develop full-stack applications integrating predictive models with user-friendly interfaces, including leading development of transportation management systems that transform complex inputs into actionable predictions and building turnkey solutions that teams can deploy across the enterprise.
• Build knowledge graphs and semantic data models to enable requirements traceability, system understanding, and intelligent querying across complex weapon system documentation, leveraging graph databases and ontologies to create a queryable digital thread.
Digital Engineering:
• Lead digital engineering transformation initiatives to advance the enterprise toward digital thread, digital twin, and model-based systems engineering, including architecting data integration frameworks that connect design, simulation, test, and manufacturing systems across the weapons complex lifecycle.
• Design and implement real-time data integration pipelines connecting sensors, IoT devices, simulation outputs, and enterprise systems to enable digital twin capabilities and predictive analytics for asset monitoring and lifecycle management.
Software Development and Program Integration:
• Lead and mentor software development teams, establishing technical standards, MLOps practices, and development workflows while directing the implementation of front-end interfaces, APIs, and cloud-based deployments.
• Identify requirements, interfaces, conflicts, and integration issues and provide recommended resolutions based on sound engineering rationale supported by thorough and comprehensive analysis.
• Assist DP to develop, implement, manage and maintain a configuration management process for logistics, including development and management of the technical tools for configuration management.
• Develop and implement business processes and operations for logistics and supply chain management.
• Analyze existing requirements processes and tools for effective implementation.
Skills / Qualifications:
• Experience building and deploying production machine learning systems and AI-powered applications, including NLP/LLM integration, predictive modeling, and full-stack development from data pipelines through user interfaces.
• Enterprise systems integration experience including connecting disparate data sources, building data integration frameworks for digital thread/digital twin applications, and knowledge of semantic data modeling, ontologies, or graph databases.
• Experience leading technical teams, mentoring developers, and establishing best practices for software development, including agile methodologies, CI/CD, and DevOps/MLOps workflows.
• Proficiency with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn), LLM deployment, cloud platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark).
• Strong programming foundation in Python and experience with full-stack development (React, Vue, or similar frameworks); exposure to Model-Based Systems Engineering (MBSE) tools like Cameo Systems Modeler or digital twin platforms is highly valued along with proficiency in R, SQL, JavaScript, etc.; experience with IoT/sensor integration, real-time data streaming, or PLM system integration is a plus.
Experience / Educational Requirements:
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Software Engineering, Electrical Engineering, or related technical field with strong computational focus. (preferred)
Other Unique Requirements:
• Experience building production ML/AI systems that solve real business problems; exposure to digital engineering concepts (digital thread, digital twin, MBSE) or PLM/systems integration; demonstrated ability to lead technical modernization initiatives and introduce emerging technologies into large organizations. (preferred)
• Department of Energy (DOE) 6.X and/or DoD 5000-series acquisition experience. (preferred)
• Knowledge of the interfaces between DOE/NNSA programs, field sites, contractors, and other government agencies involved in weapons production, handling, and transportation. (preferred)
• Knowledge of DOE/NNSA weapons programs. (preferred)