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Intermediate Full Stack Developer Jobs in New Mexico

Varsity Tutors

Web Development Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Ability to explain client-server architecture, MVC patterns, and authentication while preparing students for full-stack development roles and software engineering careers. * Conceptual Teaching ...

Varsity Tutors

JavaScript Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Ability to explain callback functions, scope and hoisting, and the event loop while preparing students for web development careers and full-stack engineering coursework. * Conceptual Teaching ...

Chipton Ross

Software Engineer-Developer 5

Albuquerque, NM · On-site

$144.54/hr

... Developer 5's for a contract opportunity in Albuquerque, NM. BASIC QUALIFICATIONS (REQUIRED SKILLS ... The Rocky program is building a unique ground space mission system with full stack and embedded ...

Corning

.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 ...

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Intermediate Full Stack Developer information

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

As of Aug 11, 2026, the average hourly pay for intermediate full stack developer 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 the key skills and qualifications needed to thrive as an intermediate full stack developer, and why are they important?

To thrive as an Intermediate Full Stack Developer, you need solid proficiency in front-end and back-end programming languages (such as JavaScript, HTML/CSS, and a backend language like Node.js, Python, or Java), along with experience in database management and version control systems. Familiarity with frameworks (e.g., React, Angular, Express), cloud services, and tools like Git is typically required, and certifications in relevant technologies can be advantageous. Strong problem-solving abilities, effective communication, and teamwork distinguish high-performing developers in this role. These combined technical and interpersonal skills are crucial for efficiently building, deploying, and maintaining robust, user-friendly web applications in collaborative environments.

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

AspectIntermediate Full Stack DeveloperFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including JavaScript, HTML, CSS, and server-side languagesSpecialized in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular
Work EnvironmentWorks on both server and client-side applications, often in full project cyclesFocuses primarily on user interface and experience
Common UsageUsed across startups and full-stack teams in various industriesCommon in front-end teams within larger organizations

The Intermediate Full Stack Developer has a broader skill set covering both front-end and back-end development, while the Front End Developer specializes in creating and optimizing user interfaces. The choice depends on whether the role requires full-stack capabilities or a focus on client-side development.

What is an intermediate full stack developer?

An Intermediate Full Stack Developer is a software professional with a few years of experience who is proficient in both front-end and back-end web development. They are capable of working on the user interface, server-side logic, databases, and APIs, often collaborating with other team members to build and maintain web applications. Intermediate developers have moved beyond entry-level tasks, can work independently on moderately complex projects, and are familiar with industry-standard tools and frameworks. Their role often includes troubleshooting, optimizing code, and contributing to architecture decisions while still learning and expanding their skill set.

What are some common challenges faced by intermediate full stack developers when balancing front-end and back-end responsibilities?

Intermediate Full Stack Developers often encounter the challenge of effectively managing tasks across both front-end and back-end domains, which requires staying updated with rapidly evolving technologies on both sides. Coordinating the integration of user interfaces with server logic, ensuring seamless communication between components, and maintaining code quality across the stack can be demanding. Additionally, they frequently collaborate with UI/UX designers, DevOps engineers, and QA teams, making strong communication and time management skills essential. Addressing these challenges provides valuable experience and prepares developers for more advanced roles in the future.
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 cities in New Mexico are hiring for Intermediate Full Stack Developer jobs? Cities in New Mexico with the most Intermediate Full Stack Developer job openings:
Intermediate Full Stack Developer jobs near you

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)

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