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Frontend Developer Jobs in Montgomery, AL (NOW HIRING)

Kanak Elite Services Inc

Sr. .NET Developer

Montgomery, AL · On-site

$54 - $71.25/hr

VSTS DevOps (front-end check in source control), WordPress, Umbraco, IIS configuration, SSIS and SSRS). * Experience in MVC, JQuery, and web services Qualification Bachelor's degree in computer ...

Kanak Elite Services Inc

SQL Developer

Montgomery, AL · On-site

$44.75 - $61.25/hr

Experience developing code using C#, .NET, HTML, or other web front-end technologies * Ability to ... Programming business requirements in database language. * Develop new SSIS/SSRS packages to meet ...

Varsity Tutors

Web Development Tutor

Montgomery, AL · Remote

$18 - $40/hr

Deep knowledge of front-end technologies including HTML, CSS, and JavaScript, back-end development ... engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching full-stack ...

Varsity Tutors

HTML Tutor

Montgomery, AL · Remote

$18 - $40/hr

Ability to explain semantic markup, responsive design principles, ARIA roles, and SEO-friendly structure while preparing students for web development, digital media, and front-end engineering ...

Varsity Tutors

JavaScript Tutor

Montgomery, AL · Remote

$18 - $40/hr

Adapts instruction using browser developer tools, interactive coding exercises, and project-based web development to support students from introductory web programming through advanced front-end and ...

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Frontend Developer information

See Montgomery, AL salary details

$42K

$109.2K

$153.8K

How much do frontend developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for frontend developer in Montgomery, AL is $109,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $119,700.00 per year, depending on experience, location, and employer.

What is a frontend developer?

Frontend Developers are professionals who design and build the user-facing parts of websites and web applications. They use technologies like HTML, CSS, and JavaScript to create interactive and visually appealing interfaces that users interact with directly in their browsers. Frontend Developers work closely with designers and backend developers to ensure a seamless and responsive user experience across different devices and platforms. Their role often includes optimizing website performance, ensuring accessibility, and maintaining code quality.

What are the key skills and qualifications needed to thrive as a frontend developer, and why are they important?

To thrive as a Frontend Developer, you need a solid grasp of HTML, CSS, JavaScript, and modern frameworks like React or Angular, often supported by a degree in computer science or a related field. Familiarity with version control systems (e.g., Git), responsive design tools, and web performance optimization techniques is typically required. Creativity, attention to detail, and strong problem-solving abilities help you build intuitive, user-friendly interfaces and collaborate effectively with design and backend teams. These skills and qualities are crucial for delivering high-quality, interactive web applications that meet user and business needs.

How do frontend developers collaborate with designers and backend teams during a project?

Frontend Developers regularly work closely with UX/UI designers to ensure that visual elements are accurately translated into interactive web pages and applications. They also coordinate with backend developers to integrate APIs and manage data flow between the server and the user interface. Regular meetings, code reviews, and collaborative tools like version control systems help streamline communication and maintain consistency across the project. This teamwork is essential to deliver a cohesive and high-performing end product.

What is the difference between Frontend Developer vs Web Designer?

AspectFrontend DeveloperWeb Designer
Primary FocusBuilding and coding website interfaces using HTML, CSS, JavaScriptDesigning visual layout, user experience, and aesthetics
Skills & CertificationsHTML, CSS, JavaScript, frameworks, coding skillsDesign tools (Photoshop, Sketch), UX/UI principles
Work EnvironmentCollaborates with developers and backend teams in tech settingsWorks with clients, marketing teams, and creative departments
Industry UsageWeb development companies, tech firms, startupsDesign agencies, marketing firms, freelance projects

While both roles contribute to website creation, a Frontend Developer focuses on coding and implementing interactive features, whereas a Web Designer emphasizes visual design and user experience. Understanding these differences helps in choosing the right career path or job search focus.

Are frontend developers still in demand?

Frontend developers are currently in high demand due to the ongoing growth of web applications and digital services. Skills in JavaScript, frameworks like React or Angular, and responsive design are particularly sought after by employers across various industries.

What exactly does a front-end developer do?

A front-end developer designs and implements the visual elements of websites and applications that users interact with, using languages like HTML, CSS, and JavaScript. They ensure the interface is responsive, accessible, and functions correctly across different devices and browsers, often collaborating with designers and back-end developers. Proficiency with development tools and frameworks is essential for building user-friendly digital experiences.

What are the most commonly searched types of Frontend Developer jobs in Montgomery, AL?

The most popular types of Frontend Developer jobs in Montgomery, AL are:

What are popular job titles related to Frontend Developer jobs in Montgomery, AL?

For Frontend Developer jobs in Montgomery, AL, the most frequently searched job titles are:

What cities near Montgomery, AL are hiring for Frontend Developer jobs?

Cities near Montgomery, AL with the most Frontend Developer job openings:

Frontend Developer jobs near you
Infographic showing various Frontend Developer job openings in Montgomery, AL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,198 per year, or $52.5 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Montgomery, AL • On-site

$150K - $180K/yr

Full-time

Posted 14 days ago

Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Category
Information Technology
Description
We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
  • Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
  • Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
  • Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
  • Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
  • Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
  • Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
  • Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
  • Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
  • Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
  • Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
  • Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
  • Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
  • Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
  • Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
  • Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
  • Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
  • Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
  • Develop and maintain CI/CD pipelines and infrastructure deployment processes.
  • Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
  • Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
  • Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
  • Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
  • Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
  • Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
  • Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
  • Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
  • Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
  • Provide technical leadership and mentoring to developers working within the architecture.

Position Requirements
Qualifications
  • 8+ years of professional software development, cloud engineering, database engineering, or software architecture experience.
  • Demonstrated experience designing production cloud and backend architectures for enterprise applications.
  • Strong expertise with C#, .NET, ASP.NET Core, and RESTful API development.
  • Advanced SQL Server and database engineering experience.
  • Strong experience with relational data modeling, database architecture, stored procedures, indexing, query optimization, execution plans, and performance tuning.
  • Experience designing databases for high-volume, production enterprise applications.
  • Strong experience designing secure API and service architectures consumed by modern web applications.
  • Strong understanding of API contracts, versioning, validation, error handling, documentation, and service-layer architecture.
  • Extensive experience with authentication and authorization technologies including OAuth 2.0, OpenID Connect, JWT, SSO, and role-based access control.
  • Strong understanding of SSL/TLS, encryption, certificate management, secrets management, secure credential storage, and application security best practices.
  • Production experience with Microsoft Azure, AWS, or comparable enterprise cloud environments.
  • Experience designing cloud networking, compute, storage, database, identity, monitoring, and security infrastructure.
  • Strong understanding of distributed systems, scalability, availability, fault tolerance, disaster recovery, and production support.
  • Experience with Git, CI/CD methodologies, deployment pipelines, and automated application deployment.
  • Demonstrated experience designing, building, and deploying AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or similar LLM platforms. Candidates should have experience creating AI workflows that enable models to perform business processes through structured prompts and system instructions, process sequencing, examples, retrieval, evaluation, tool use, orchestration, and production integration-not simply consuming AI APIs.
  • Experience designing AI capabilities as integrated components of enterprise applications and business workflows.
  • Ability to translate business processes into technical workflows, data requirements, API interactions, AI instructions, and system architectures.
  • Strong troubleshooting, analytical, documentation, and communication skills.
  • Experience providing technical leadership, architecture guidance, and mentoring to software development teams.

Preferred Skills
  • Microsoft Azure architecture experience, including services such as Azure App Service, Azure SQL, Azure Functions, Azure Storage, Key Vault, Microsoft Entra ID, API Management, Application Insights, and Azure networking.
  • Experience with AWS or multi-cloud architectures.
  • Experience with Docker, Kubernetes, containerized applications, and container orchestration.
  • Experience with API gateways, reverse proxies, load balancers, message queues, caching platforms, and event-driven architectures.
  • Experience with Infrastructure as Code technologies such as Terraform, Bicep, ARM templates, or CloudFormation.
  • Experience designing enterprise integration architectures and ETL/data-processing pipelines.
  • Experience with data warehousing, reporting databases, and business intelligence architectures.
  • Hands-on experience designing and building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable generative AI platforms.
  • Experience architecting AI workflows, prompt engineering, system instructions, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, AI agents, tool/function calling, orchestration frameworks, and evaluation methodologies for enterprise AI solutions.
  • Experience designing AI systems that incorporate business workflows through structured process definitions, contextual examples, enterprise knowledge retrieval, tool use, and iterative refinement, enabling AI to reliably execute operational business tasks.
  • Experience designing secure architectures that allow AI systems to interact with enterprise databases, APIs, internal systems, and business information while maintaining appropriate authorization and data-access controls.
  • Familiarity with Angular, React, Blazor, or other modern front-end frameworks sufficient to effectively design APIs and services supporting front-end development.
  • Experience with IIS and Windows Server environments.
  • Experience with automated testing, performance testing, security testing, and vulnerability management.

Role Focus
This position is primarily an architecture, backend infrastructure, database, security, and AI platform role, not a front-end development position.
The successful candidate will own the technical foundation behind our applications:
Cloud Infrastructure → Security & Identity → Databases → Backend Services → APIs → AI Services → Front-End Applications
The architect will ensure that front-end developers have secure, reliable, well-documented APIs and services through which application functionality, enterprise data, and AI capabilities can be accessed.
In addition to owning the cloud, database, security, integration, and API architecture, this role will play a critical part in designing the AI foundation of our platform. We are building enterprise applications in which AI is an operational component of the business process, not simply a chatbot or standalone feature.
The successful candidate will have proven experience building AI-powered products that enable Large Language Models to execute business workflows through structured process design, system instructions, contextual examples, retrieval strategies, tool use, orchestration, evaluation, and enterprise integrations. Experience building production solutions using OpenAI, Azure OpenAI, or comparable LLM platforms is considered a core requirement of this role.
The overall goal of this position is to establish a secure, scalable, maintainable, and production-ready cloud and AI architecture that provides the foundation on which our front-end applications and future intelligent business capabilities are built.
Full-Time/Part-Time
Full-Time
Position
IT SUPPORT PROFESSIONAL
Number of Openings
1
Open Date
8/7/2026
Location
Alabama
About the Organization
This position is currently accepting applications.

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