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Backend Engineer Jobs in Nevada (NOW HIRING)

Socket.dev

Senior Software Engineer

Las Vegas, NV · On-site

$120 - $160/hr

The Senior Software Engineer will be a high-agency individual responsible for designing, building ... Own and evolve the technical architecture across front-end interfaces, back-end APIs, database ...

J&J Ventures

Engineer NV, Software

Las Vegas, NV · On-site

Identify bottlenecks and optimize both the front-end and back-end systems for better speed and ... Experience with CI/CD pipelines and DevOps practices. * Experience with Linux * Experience with C+

Fusion HCR

Full Stack .NET Developer

Las Vegas, NV · On-site

Key Responsibilities Backend Development & API Engineering * Design, develop, and maintain scalable web applications using C# and the Microsoft .NET platform * Build and enhance RESTful APIs, backend ...

1 CLICK LOGISTICS

Software Engineer I

Sparks, NV · On-site

$48K - $56K/yr

Job Summary The Software Engineer I is an essential member of the Software Development team ... Backend Exposure: Some experience or educational background in ColdFusion (training provided) and ...

Counterworx

Software Engineer Job

Las Vegas, NV

The Software Engineer applies practical knowledge of development and engineering to conceive ... Deep knowledge of standards-based front and back end technologies. Knowledge of mobile app ...

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Backend Engineer information

What are some common challenges backend engineers face when integrating new technologies into existing systems?

Backend Engineers often encounter challenges when integrating new technologies, such as ensuring compatibility with legacy systems, maintaining data consistency, and minimizing service disruptions during deployment. They must carefully plan migrations, coordinate with frontend and DevOps teams, and implement thorough testing to avoid introducing bugs or security vulnerabilities. Effective communication and documentation are key to overcoming these challenges and ensuring a smooth transition.

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

To thrive as a Backend Engineer, you need strong programming skills in languages like Java, Python, or Node.js, a solid understanding of algorithms, and experience with databases, typically supported by a degree in computer science or related field. Familiarity with tools such as RESTful APIs, cloud platforms (e.g., AWS, Azure), version control systems (like Git), and containerization technologies (Docker, Kubernetes) is common. Problem-solving ability, attention to detail, and effective communication are vital soft skills for this role. These skills and qualities are essential for building robust, scalable systems and collaborating efficiently within development teams.

What is the difference between Backend Engineer vs Software Developer?

AspectBackend EngineerSoftware Developer
Primary FocusDesigning, building, and maintaining server-side applications and databasesDeveloping software across various layers, including frontend and backend
Skills & CertificationsProficiency in server-side languages (e.g., Java, Python), databases, APIsProficiency in multiple programming languages, software design, and sometimes frontend skills
Work EnvironmentTypically in backend teams, working on server infrastructure and APIsCan work on full-stack or specific areas; broader scope
Industry UsageCommon in tech companies, startups, and enterprises focusing on backend systemsWidespread across all software development sectors

While both roles involve coding and software development, Backend Engineers specialize in server-side logic, databases, and APIs, whereas Software Developers may work on both frontend and backend components. The roles often overlap, but Backend Engineers focus more on the infrastructure that powers applications.

What's a typical backend engineer salary?

A backend engineer's salary varies based on experience, location, and company size, but typically ranges from $70,000 to $130,000 annually in many regions. Senior roles or those with expertise in cloud services, databases, and programming languages like Java or Python tend to earn higher salaries. Entry-level positions usually start around $60,000 to $80,000.

What is a backend engineer?

Backend Engineers are software developers who focus on building and maintaining the server-side logic, databases, and APIs that power web and mobile applications. They ensure that the data requested by the frontend systems is delivered efficiently and securely. Their work involves writing code in languages like Python, Java, or Node.js, integrating with databases, and optimizing the overall performance of applications. Backend Engineers also play a crucial role in ensuring data integrity and implementing security best practices.
More about Backend Engineer jobs

What are the most commonly searched types of Backend Engineer jobs in Nevada?

The most popular types of Backend Engineer jobs in Nevada are:

What are popular job titles related to Backend Engineer jobs in Nevada?

For Backend Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Backend Engineer jobs in Nevada look for?

The top searched job categories for Backend Engineer jobs in Nevada are:

What cities in Nevada are hiring for Backend Engineer jobs?

Cities in Nevada with the most Backend Engineer job openings:

What are popular job titles related to Backend Engineer jobs in NV?

For Backend Engineer jobs in NV, the most frequently searched job titles are:

Backend Engineer jobs near you
Infographic showing various Backend Engineer job openings in Nevada as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Reno, NV • On-site

$150K - $180K/yr

Full-time

Posted 7 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
Reno Nevada
About the Organization
This position is currently accepting applications.

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