Full Stack Developer

Full Stack Developer Engineer Jobs

11 jobs found

Today

Applied AI Engineer

Nucor Business Technology Dallas, TX

Dallas, TX

Today

Full time Backend Developer Ai Application Development Artificial Intelligence

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Job Description

Nucor Business Technology is hiring an Applied AI Engineer to engineer, deploy, and support full-stack AI-driven web applications on enterprise AI platforms.

Responsibilities

Build, deploy, and support AI applications and workflows for division, commercial, and corporate teams on enterprise AI platforms.
Stand up proofs of value, validate results quickly, and convert successful prototypes into scalable, supportable solutions.
Configure, maintain, and support DataOps and MLOps tooling, including pipelines, job orchestration, feature stores, monitoring, and CI/CD.
Rapidly create custom AI and ML solutions for urgent needs across scrap, EAF, casting, rolling, finishing, and logistics, plus commercial use cases.
Develop and deploy full-stack, AI-based enterprise applications.
Perform design and development reviews; test, troubleshoot, and enhance software applications.
Deliver technical deep-dives, demonstrations, and internal training.
Create user playbooks, quick-start guides, and run enablement and training sessions.
Collaborate with OT, IT, cybersecurity, and business SMEs to align with Nucor guardrails for reliability, safety, and compliance.
Work effectively in ambiguity with hands-on, on-the-floor practicality in mill environments.
Write application specifications and documentation.
Continuously identify technical risks and gaps; develop mitigation strategies ahead of team needs.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline.
Equivalent combination of experience and education will be considered.
3+ years delivering AI or ML applications on enterprise platforms, or a relevant degree with strong internships or projects.
1+ year experience with Python, SQL, notebooks, version control, and CI/CD fundamentals.
Experience operating production pipelines and jobs, including alerting and observability.
Demonstrated ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times (safety is the most important part of all jobs within Nucor).

Technologies

C3.ai
Palantir Foundry
Python
SQL
CI/CD
Git
JavaScript
React
Redux
Vue
Backbone
Angular
Azure
Power BI
Tableau
Qlik
Figma

Preferred Qualifications

Prior experience with enterprise AI application platforms and their semantic/object models (e.g., C3.ai model types, Palantir Foundry ontology).
Strong software development background with Python and JavaScript, including modern JavaScript frameworks (React, Redux, Vue, Backbone, or Angular).
Proficiency with Git or other version control systems.
Experience deploying software to cloud platforms (e.g., Azure).
Solid understanding of SQL and NoSQL databases, data structures, algorithms, and time-series data analysis (including cleansing and normalization).
Working knowledge of Agile software development methodologies.
Strong grasp of common machine learning techniques, applications, and trade-offs.
Experience with data visualization tools (Power BI, Tableau, Qlik).
Familiarity with Figma or similar design/prototyping tools for UI/UX collaboration.
Exposure to plant historians, MES, event streams, or edge integrations.
Experience managing continuous improvement projects and implementing supply chain AI applications.
Ability to translate business needs into system requirements and communicate effectively across technical and business teams.

Benefits

Medical
Dental
Vision
Disability Insurance
401K and Roth accounts
Profit sharing
Pay-for-performance bonuses
Paid parental leave
Tuition reimbursement
Stock program
Scholarships

Location: Dallas, TX, United States (onsite)

Experience level: 3+ years

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1d ago

Mid-Level AI & Machine Learning Engineer

Fieldwire San Francisco, CA

San Francisco, CA

1d ago

$170k - $195k/yr Full time AI Ai Engineer Ai/ml Developer

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Job Description

Fieldwire is seeking a Mid-Level AI & Machine Learning Engineer to help adapt and deploy AI models for construction document and image understanding. In this hybrid role based in San Francisco, you will build AI foundations that run in Fieldwire infrastructure and turn complex visual inputs into useful, context-aware information inside the product.

What you’ll do

Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities
Evaluate and select open-source models, then adapt them to domain-specific use cases using fine-tuning, transfer learning, and lightweight training
Deploy and operate models within Fieldwire infrastructure, including GPU-backed environments with an emphasis on inference performance, resource utilization, throughput, and latency
Develop solutions for image understanding including visual object detection, classification, and segmentation
Extract and interpret information from PDFs, scanned documents, images, and other complex visual content by combining OCR, document layout analysis, and multimodal models
Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows
Debug production issues across services and multiple layers of the stack
Improve engineering standards, tooling, and processes

Required qualifications

Bachelor’s or Master’s degree in Computer Science (or equivalent work experience)
3+ years of experience in a Fullstack, Backend, AI Engineering, or Machine Learning role
Strong practical experience in machine learning, including training, evaluating, and deploying models
Hands-on experience with computer vision and image-processing techniques
Knowledge of modern toolchains used to build high-quality applications
Expertise writing clean, well-tested, modular code

Technologies you may work with

Open-source models
Fine-tuning and transfer learning
OCR and document layout analysis
Multimodal models, transformers, and vision-language models
GPU-backed environments
Rust, Ruby on Rails, and Angular

Preferred interest areas

Experience adapting pretrained models to domain-specific tasks through fine-tuning and transfer learning
Understanding of modern model architectures, including transformers and vision-language models
Experience with image and document processing, including OCR, document layout analysis, or extracting structured information from PDFs and images
Experience building production systems, preferably in Rust, Ruby on Rails, or Angular

Location and compensation

This role is hybrid in San Francisco, California. Fieldwire’s headquarters are based in San Francisco, with an office centrally located right off of the Embarcadero BART station.

The estimated salary range is USD 170,000 - 195,000 per year, with offers determined based on skills, qualifications, and experience. The salary range represents the low and high end for the US market, and minimums and maximums may vary by location.

Benefits

Corporate bonus ranging up to 30%

Fieldwire will consider this role based on the factors above, including your skills, qualifications, and experience.

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1d ago

Senior Full Stack Software Engineer

News Corp Austin, TX

Austin, TX

1d ago

Full time Backend Developer Senior APIs

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Job Description

What you’ll get from Realtor.com and News Corp

Join the News & Insights team building the high-traffic news experience behind Realtor.com. This role blends backend depth with modern frontend development, with a focus on performance, reliability, and support for AI-powered Hyperlocal content. You’ll also have access to benefits designed for health, family planning, and long-term stability.

Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 paid holidays
Flexible Time Off
8 hours of paid volunteer time off
Company 401(k): immediate eligibility with 3.5% company match
Tuition Reimbursement for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

What you’ll do

You’ll build and evolve consumer-facing experiences across both the frontend and backend, working on features that span React/Next.js and server-side systems. The work is backend-heavy, including designing APIs and data flows, improving caching and delivery, and contributing to logging and production reliability.

Build and expand consumer-facing features across frontend and backend
Contribute to React and Next.js feature development, especially when product work spans both sides
Own full-stack work from technical design through testing, release, and production support
Design, build, and scale backend services and APIs supporting the News & Insights platform
Develop and maintain Node.js and TypeScript services, including GraphQL schemas, persisted queries, and RESTful APIs
Own server-side data flows and make decisions around service boundaries, performance, and maintainability
Improve caching and delivery strategies, including CDN or edge caching, object caching, and incremental rendering
Contribute to logging, monitoring, alerting, incident response, and overall production reliability
Support automated testing, CI/CD, and safe, repeatable releases in partnership with platform and infrastructure teams
Support backend services, integrations, and data flows for the AI-powered Hyperlocal content platform
Collaborate with Product, editorial stakeholders, and engineering partners to shape technical priorities
Communicate technical trade-offs, contribute to design discussions, participate in code reviews, Agile ceremonies, and roadmap planning

What you bring

5+ years of professional software engineering experience with a strong backend foundation and meaningful frontend experience
Experience owning full-stack features or product areas from design through production
Strong JavaScript or TypeScript experience; Node.js is strongly preferred
Frontend experience with React or Next.js (or comparable modern frameworks)
Experience designing and operating RESTful APIs, GraphQL APIs, or comparable service interfaces
Experience with automated testing, production troubleshooting, and reliability-focused engineering decisions
Familiarity with cloud deployment and CI/CD, including AWS or comparable platform practices
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience)

Tech you’ll work with

Node.js, TypeScript, GraphQL, React, Next.js, REST APIs, CDN, edge caching, object caching, incremental rendering, AWS, CI/CD, GraphQL schemas, persisted queries, Docker/containerized deployments, logging, monitoring, alerting

About WordPress

Direct WordPress experience is not required. The priority is the ability to work effectively across frontend and backend systems while contributing to a high-traffic consumer platform.

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2d ago

School of Nursing Full Stack AI Engineer

University of Texas at Austin Austin, TX

Austin, TX

2d ago

$70k - $70k/yr Full time Backend Developer Artificial Intelligence Data Analytics

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Job Description

The School of Nursing at The University of Texas at Austin seeks a Full Stack AI Engineer to design, deploy, and maintain dependable AI applications that support nursing education and faculty research. The role involves turning teaching objectives and research protocols into secure, accessible software and continuing evaluation and maintenance beyond an initial prototype.

Responsibilities

Build and maintain applications using Python, TypeScript, and React or Next.js, including backend APIs, databases, authentication, role-based access, and deployment in university-approved cloud environments.
Implement production large language model (LLM) applications using retrieval-augmented generation (RAG), including source citations, tool calling, and guardrails.
Evaluate retrieval quality, factual grounding, citation accuracy, unsafe outputs, latency, and cost both before and after release.
Ensure factual answers are traceable to approved sources and source versions.
Provide clear handling for insufficient or conflicting evidence, including declining unsupported answers and directing questions to human review.
Develop faculty authoring, content approval, and review tools.
Translate educator-authored rubrics into measurable criteria, assessment logic, and evaluation cases, including faculty validation and review of AI-generated feedback.
Translate investigator-approved protocols into application features, including study-specific workflows, approved intervention content, participant interactions, and reproducible data collection and exports.
Implement protocol amendments in coordination with the research team.
Build learning assessments, learner progress tracking, and dashboards for educational outcomes, engagement, intervention delivery, and study measures.
Separate educational records from research datasets and permissions as required by each project.
Implement automated tests, continuous integration and deployment (CI/CD), monitoring, backups, and recovery procedures.
Maintain version control for code, prompts, source materials, rubrics, assessments, and AI model configurations.
Apply access controls, secure secret management, data minimization, and safe logging.
Protect student records, research data, and any inadvertently entered patient information through university-approved procedures and services.
Scope projects with faculty, document architecture and operating procedures, train users, resolve technical issues, and coordinate with university IT, security, accessibility, and research support teams.

Requirements

Bachelor’s degree in computer science, software engineering, information systems, or a related field, or an equivalent combination of relevant education and experience, subject to the approved university job classification.
Demonstrated proficiency in Python and TypeScript, and experience developing applications with React or Next.js, backend APIs, relational or other appropriate databases, authentication, Git, and cloud deployment.
Demonstrated experience deploying and maintaining at least one LLM-enabled application used by people beyond its development team, with responsibility for reliability and iteration.
Practical experience with RAG, citations, tool calling, guardrails, and repeatable LLM evaluations, including recognition of hallucinations, prompt injection, and limitations of AI-generated assessments.
Experience with automated testing, monitoring, and CI/CD, and knowledge of application security, privacy, and accessibility fundamentals.
Ability to translate faculty-defined learning objectives, rubrics, and research requirements into testable software behavior and to communicate technical choices clearly to nontechnical collaborators.
Ability to manage competing priorities, estimate effort, document decisions, and maintain software through deployment and ongoing support.

Preferred Qualifications

Current enrollment in, or completion of, a master’s program in artificial intelligence, computer science, data science, or a related field.
Experience with nursing or health professions education, virtual patient simulation, digital health interventions, or human participant research.
Experience building content-management, educator-review, content-approval, learning assessment, and analytics workflows.
Experience with Canvas or Moodle integration, LTI, xAPI, or SCORM, and with university identity and access systems.
Experience implementing accessible interfaces, including keyboard and screen-reader access, and age-appropriate, user-centered user experiences.

Technologies

Python
TypeScript
React
Next.js
Large language model
Retrieval-augmented generation (RAG)
Tool calling
Git
CI/CD
Cloud deployment
Authentication
Relational databases

Working Expectations and Oversight

Faculty retain responsibility for educational content, clinical accuracy, rubrics, assessment interpretation, and approval of source materials.
Investigators retain responsibility for research protocols, consent language, and required research approvals.
The engineer implements approved requirements and flags technical risks, gaps, and limitations.
Applications must clearly distinguish educational simulation and research activities from real-patient diagnosis or treatment.
Any research intervention that includes health guidance must remain within its approved protocol, with defined human oversight and escalation pathways.
The supervisor and faculty partners will prioritize a manageable project portfolio within the 30-hour workweek, including maintenance and support.
Work schedule, reporting relationship, formal job classification, benefits, and exemption status will be finalized through university HR.

Salary

$70,000 annual for a 30 hour assignment.

Required Application Materials

Submit a resume, a brief statement describing relevant experience, and examples of deployed applications or a portfolio.
Describe your individual contribution, deployment approach, evaluation methods, and maintenance responsibilities.
Confidential or proprietary materials are not required.

Application Instructions

Applicants who are not current university employees or contingent workers: You will be prompted to submit your resume the first time you apply. For subsequent applications, you will be provided an option to upload a new Resume. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section using file multi-select. Confirm all Required Materials are uploaded before submitting. After submission, you cannot make changes.

Current university employees and contingent workers: You MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log in to Workday and update your Professional Profile sections before applying. The application is one page and prompts you to upload your resume. You must also respond to application questions to upload additional required materials identified above.

Employment Eligibility

Regular staff employed in their current position for the last six continuous months are eligible for openings recruited through University-Wide or Open Recruiting, including promotional opportunities and lateral transfers.
Promotion or transfer eligible staff may apply for positions without supervisor approval.

Retirement Plan Eligibility

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks

A criminal history background check will be required for finalist(s) under consideration for this position.

Employment Eligibility Verification (I-9) and E-Verify

If hired, you must complete the federal Employment Eligibility Verification I-9 form and present acceptable, original documents proving identity and authorization to work in the United States no later than the third day of employment.
Failure to do so results in loss of employment.
The University of Texas at Austin uses E-Verify for all new hires effective May 2015. Company ID number: 854197. For more information, see the E-Verify Poster and Right to Work Poster materials referenced in the posting.

Compliance

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act).
If the position is identified as a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting.
The Clery Act requires prospective employees be notified of the availability of the Annual Security and Fire Safety report. The most recent report can be accessed online, or a copy can be obtained from University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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8d ago

Senior Software Engineer - Java Full Stack & AI

Mastercard O'Fallon, MO

O'Fallon, MO

8d ago

$115k - $184k/yr Full time Backend Developer Senior APIs

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Job Description

The Senior Software Engineer role on Mastercard’s Decision Services Technology team focuses on delivering complex full-stack systems and advancing AI-powered capabilities for transaction analysis, fraud pattern identification, and business decision support. This position emphasizes technical ownership, design influence, and mentoring with limited guidance.

Team and Role Overview

The Decision Services Technology team within Mastercard’s Business & Market Insights organization builds analytics, reporting, and intelligence solutions that help customers investigate transactions, identify fraud patterns, and make informed business decisions.

What You’ll Do - Software Development

Design, develop, test, deploy, and support complex software solutions.
Build scalable APIs, backend services, and modern web applications.
Use Java, Spring Boot, React or Angular, and Python across the technology stack.
Lead implementation efforts for AI-enabled capabilities and automation initiatives.
Drive technical solutions from requirements through deployment.

What You’ll Do - Design & Architecture

Contribute to architecture decisions and participate in system design discussions.
Apply architectural patterns that support scalability, reliability, and maintainability.
Guide technical implementation across distributed and cloud-based systems.
Support integration of AI and machine learning capabilities into business products.

What You’ll Do - Quality & Operational Excellence

Champion testing practices, secure coding, and code quality standards.
Conduct code reviews and mentor engineers through technical feedback.
Lead troubleshooting activities and root-cause analysis for complex issues.
Improve observability, automation, performance, and operational readiness.
Drive continuous improvement across the engineering lifecycle.

What You’ll Do - Collaboration & Leadership

Partner closely with Product, Architecture, and Engineering leadership.
Serve as a technical mentor for less experienced engineers.
Influence technical direction and engineering best practices.
Contribute to Agile planning, estimation, and delivery leadership.

Core Responsibilities

Contribute to architecture decisions and system design discussions.
Influence technical direction and engineering best practices.
Support integration of AI and machine learning capabilities into business products.
Drive technical solutions from requirements through deployment.
Lead implementation efforts for AI-enabled capabilities and automation initiatives.
Lead troubleshooting efforts and root-cause analysis for complex issues.
Improve observability, automation, performance, and operational readiness.
Provide technical mentorship and conduct code reviews.
Support engineering planning, estimation, and delivery leadership in Agile.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience.
6+ years developing enterprise software solutions.
Advanced proficiency in Java 8+ and Spring Boot.
Deep understanding of REST APIs, microservices, and distributed systems.
Strong knowledge of React, Angular, or comparable frontend frameworks.
Expertise in Oracle or SQL-based database development.
Familiarity with CI/CD practices and modern engineering workflows.
Knowledge of Python for AI, automation, and data-driven applications.
Exposure to GitHub Copilot or similar AI-assisted development tools.
Strong troubleshooting, debugging, and analytical capabilities.
Ability to independently deliver complex technical solutions with minimal oversight.

Preferred Qualifications

Experience with AWS, Azure, or GCP.
Knowledge of Docker, Kubernetes, and cloud-native architectures.
Exposure to Databricks, Spark, Delta Lake, or similar technologies.
Experience integrating AI/ML services, APIs, or models into enterprise platforms.
Experience mentoring engineers and leading technical initiatives.
Background in payments, fraud, analytics, or data-driven business solutions.

Technologies

Java, Spring Boot, React, Angular
Python, REST APIs, microservices
Oracle, SQL-based databases
CI/CD, GitHub Copilot
AWS, Azure, GCP
Docker, Kubernetes
Databricks, Spark, Delta Lake

Success Measures

Independently deliver complex features and technical initiatives.
Demonstrate ownership of key systems, services, or technical domains.
Mentor team members and elevate engineering quality.
Contribute to AI-powered product innovation and platform growth.
Improve scalability, reliability, performance, and operational excellence.
Influence engineering standards and technical direction across the team.

Corporate Security Responsibility

Abide by Mastercard’s security policies and practices.
Ensure the confidentiality and integrity of the information being accessed.
Report any suspected information security violation or breach.
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Location and Pay Range

Location: O'Fallon, MO (onsite)

Pay range (O'Fallon, Missouri): USD 115,000 - 184,000 per year

Benefits

Competitive base salary
Annual bonus or commissions (depending on the role)
Insurance including medical, prescription drug, dental, vision, disability, and life insurance
Flexible spending account and health savings account
Paid leaves including 16 weeks of new parent leave and up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days (pro-rated based on date of hire)
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement

Intern benefits: 56 hours of Paid Sick and Safe Time
Intern benefits: jury duty leave
Intern benefits: on-site fitness facilities in some locations

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9d ago

Software Engineer II: Fullstack

JPMorganChase Jersey City, NJ

Jersey City, NJ

9d ago

$124k - $150k/yr Full time Database Databases Developer

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Job Description

As a Software Engineer II on an agile team within JPMorganChase’s Consumer & Community Banking organization, you’ll help design, enhance, and deliver software components that are secure, stable, and scalable. You’ll contribute to day-to-day development and troubleshooting while working within the Software Development Life Cycle (SDLC) toolchain and enterprise-authorized AI coding assist capabilities.

This role supports engineering outcomes for applications and services used by Chase customers, spanning core consumer banking experiences and digital platforms.

Responsibilities

Execute standard software solutions, including design, development, and technical troubleshooting.
Write secure, high-quality code using the syntax of at least one programming language with limited guidance.
Design, develop, code, and troubleshoot with awareness of upstream and downstream system impacts.
Apply SDLC toolchain knowledge to improve the value realized by automation.
Use technical troubleshooting skills to break down solutions and resolve basic-complexity technical problems.
Gather, analyze, and draw conclusions from large, diverse data sets to identify issues and inform decisions that support secure application development.
Learn and apply system processes, methodologies, and skills to develop secure, stable code and systems.
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity (including code generation/refactoring, unit test creation, and documentation), validating outputs through peer review, automated testing, and secure coding standards.
Use SDLC toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to increase the value delivered through automation.

Requirements

Formal training or certification on software engineering concepts, plus 2+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Demonstrable ability to code in one or more languages.
Experience across the whole Software Development Life Cycle.
Exposure to agile methodologies, including CI/CD, Application Resiliency, and Security.
Emerging knowledge of software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, mobile, or related areas).
Hands-on experience with enterprise-authorized AI-assisted software development tools within the work environment (for coding, testing, troubleshooting, or documentation), including the ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations.

Technologies

Software Development Life Cycle (SDLC)
CI/CD
Application Resiliency
Security
Enterprise-authorized AI coding assist tools
Enterprise-authorized AI-assisted software development tools
Unit test creation
Documentation
Database querying languages

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Preferred Qualifications, Capabilities, and Skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

Location: Jersey City, NJ (onsite). Compensation: USD 123,500 - 150,000 per year. Experience level: 2+ years.

About the team: JPMorganChase’s Consumer & Community Banking division serves customers through services including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. The team supports consumer experiences while emphasizing digital solutions and customer satisfaction.

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9d ago

Software Engineer

Priority-1 Inc. Little Rock, AR

Little Rock, AR

9d ago

Full time APIs Databases Developer

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Job Description

Priority-1 Inc. is seeking a Software Engineer to support a growing software development team building a transportation and logistics technology platform. The position focuses on end-to-end web application development using the Microsoft stack, with responsibilities spanning front-end development, REST APIs, and cloud deployment support in Microsoft Azure.

Responsibilities

Deliver end-to-end web application development for a transportation and logistics technology platform.
Develop web-based applications using .NET and ASP.NET MVC.
Build and support REST APIs for both external and internal use.
Work with Entity Framework and MSSQL, including relational database development and design.
Support deployment and ongoing support for cloud-based technology in Microsoft Azure.
Analyze user stories, communicate effectively, and ship quality code efficiently.
Apply basic AI tooling knowledge, recognizing both advantages for coding tasks and potential risks of over-reliance.

Required Qualifications

Proven experience developing with the Microsoft stack, including the latest versions of .NET, specifically web-based applications using ASP.NET MVC.
Experience with Entity Framework using MSSQL, plus general knowledge of relational database design and development.
Solid experience using a front-end JavaScript framework such as Angular, Vue, or React.
Hands-on experience building REST APIs for external and internal use.
Experience deploying and supporting cloud-based technology in Microsoft Azure. Experience with CQRS architecture using Azure queues, Azure Functions, and/or Azure WebJobs is listed as a plus.
Basic knowledge of AI tooling, including benefits for coding tasks and the pitfalls of over-reliance.
Ability to analyze user stories, communicate effectively, and deliver quality code quickly.
BS in Computer Science, MIS or similar field, or equivalent experience and education.

Technologies

.NET
ASP.NET MVC
Entity Framework
MSSQL
Angular, Vue, React
REST APIs
Microsoft Azure
Azure queues, Azure Functions, Azure WebJobs
CQRS
AI tooling

Location and Work Setting

Little Rock, AR (onsite)

Benefits

Competitive base salary
Profit Sharing: the company matches 15% of what you make each year and puts it into a savings account for you
Vision Insurance
Dental Insurance
Prescription Drug Program
Life Insurance
Short-Term Disability

Physical Requirements

Long periods of sitting and working from a computer workstation; ability to multi-task, problem solve, and prioritize daily workload
Excellent organization and record keeping skills
Comfortable with oral and written communications, primarily by telephone and email
Extended periods of sitting, normal walking, bending, twisting, and stretching
Capability of sight and hearing required
Ability to deal with stressful situations and occasionally work extended hours
Reasonable accommodations may be made for individuals with disabilities to perform essential functions

Equal Opportunity Employment

The contractor will not discharge or discriminate against employees or applicants because they inquire about, discuss, or disclose their own pay or the pay of another employee or applicant.
Employees with access to other employees' compensation information through essential job functions may not disclose that pay information to those without access, except as allowed for formal complaints or charges, investigations and proceedings, or as consistent with applicable law.