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Logging Jobs in Alabama (NOW HIRING)

Mondelez International

Driver CDL

Birmingham, AL · On-site

$26.30/hr

Proficiency in using a smart phone or tablet and electronic logging device (ELD) for logging positions and driving times. Able to use a scanner and log deliveries. * Flexibility to adapt to changing ...

Mondelez International

Driver CDL

Birmingham, AL · On-site

Proficiencyin using a smart phone and electronic logging device (ELD) for logging positions and driving times. Able to use a scanner and log deliveries. * Flexibility to adapt to changing routes and ...

NHS Management, LLC

Office Assistant

Northport, AL

$15.75 - $20.75/hr

Accuracy and detail logging and sending UPS packages daily. * Treat visitors with respect. Routes visitors to appropriate departments. * Keeps daily log for all Consultants, Regionals and employee ...

NHS Management Services

Office Assistant

Northport, AL · On-site

$14.50 - $19/hr

Accuracy and detail logging and sending UPS packages daily. * Treat visitors with respect. Routes visitors to appropriate departments. * Keeps daily log for all Consultants, Regionals and employee ...

Mondelez International

Driver CDL

Montgomery, AL · On-site

Proficiency in using a smart phone or tablet and electronic logging device (ELD) for logging positions and driving times. Able to use a scanner and log deliveries. * Flexibility to adapt to changing ...

Mondelez International

Driver CDL

Birmingham, AL · On-site

$26.30/hr

Proficiency in using a smart phone or tablet and electronic logging device (ELD) for logging positions and driving times. Able to use a scanner and log deliveries. * Flexibility to adapt to changing ...

Troy University

Helpdesk Operator

Troy, AL · On-site

... logging backup tapes, as covered in training; and other additional duties as assigned. Minimum Qualifications 1. High school diploma or equivalent 2. Basic computer knowledge 3. Customer service ...

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Logging information

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$9

$26

$56

How much do logging jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for logging in Alabama is $26.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.47 and $28.66 per hour, depending on experience, location, and employer.

What is a logging job?

As a logger, your job is to cut down trees and get the logs ready to transport. This frequently includes helping trim and delimb each fallen tree, determining which trees are suitable for use as timber, and doing other forestry work as needed. Logging often requires the use of specialized equipment and machinery, including cranes, boats, and chainsaws, and loggers usually take on several roles to get the job done. Some details of this job vary based on factors like where you work and what sort of wood you're cutting down. You are also responsible for ensuring forests are appropriately managed and cut in a way that guarantees the longevity of the area.

What is a logging job?

Logging jobs involve the process of cutting down trees, transporting the timber, and processing it for use in industries such as construction, paper, and furniture manufacturing. Workers in logging may include loggers, equipment operators, truck drivers, and supervisors. These roles require operating heavy machinery, maintaining safety standards, and working outdoors in various weather conditions. Logging jobs are physically demanding and often located in remote forested areas.

What skills and qualifications are needed to thrive as a logging worker?

To thrive as a Logging Worker, you need physical stamina, mechanical aptitude, and a basic understanding of forestry practices, often supported by a high school diploma or equivalent. Familiarity with chainsaws, logging machinery, and safety systems, as well as completion of safety training or certification programs, is typically required. Attention to detail, teamwork, and a strong commitment to safety are vital soft skills in this hazardous environment. These skills ensure efficient timber harvesting while minimizing accidents and environmental impact.

What are common challenges faced by logging professionals, and how can they be addressed?

Logging professionals often encounter challenges such as working in remote or rugged terrain, adhering to strict safety regulations, and dealing with unpredictable weather conditions. These challenges can be managed by using specialized equipment, participating in regular safety training, and maintaining clear communication with team members. Additionally, staying updated on best practices and environmental guidelines helps ensure sustainable and efficient logging operations.

What is the difference between Logging vs Forestry Worker?

AspectLoggingForestry Worker
Required CredentialsHigh school diploma, safety certifications, equipment operation trainingHigh school diploma, safety certifications, environmental knowledge
Work EnvironmentForests, logging sites, heavy machineryForests, conservation areas, outdoor settings
Industry UsagePrimary role in timber harvestingSupporting roles in forest management and conservation

Logging involves the active cutting and harvesting of trees, often using heavy machinery, while forestry workers support forest management, conservation, and reforestation efforts. Both roles require safety certifications and outdoor work, but logging is more focused on timber extraction, whereas forestry workers focus on sustainable practices and environmental protection.

Do loggers make a lot of money?

Logging is a physically demanding job that can offer competitive wages, especially for experienced workers or those working in remote areas. However, salaries vary widely depending on location, experience, and the scale of logging operations, with median pay often below other skilled trades. Certifications and safety training can improve earning potential in this field.

How much do you get paid for logging?

Logging workers typically earn an average hourly wage ranging from $15 to $25, depending on experience, location, and the complexity of the work. Salaries can vary based on whether the position is seasonal or year-round, and additional skills such as operating heavy machinery may influence pay rates.
More about Logging jobs

What are the most commonly searched types of Logging jobs in Alabama?

The most popular types of Logging jobs in Alabama are:

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For Logging jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Logging jobs in Alabama look for?

The top searched job categories for Logging jobs in Alabama are:

What cities in Alabama are hiring for Logging jobs?

Cities in Alabama with the most Logging job openings:

Logging jobs near you
Infographic showing various Logging job openings in Alabama as of August 2026, with employment types broken down into 73% Full Time, 16% Contract, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $55,731 per year, or $26.8 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Montgomery, AL • On-site

$150K - $180K/yr

Full-time

Posted 11 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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