ZipRecruiter

Log In

1

Cloud Engineer Jobs in Reno, NV (NOW HIRING)

Caesars Entertainment

DevOps Engineer

Reno, NV · On-site

$52.50 - $72/hr

... cloud and datacenter deployments. The role involves collaborating with various teams to improve ... Engineer or in a similar role • Strong knowledge of cloud platforms (AWS - strongly preferred ...

Amperesand

Software Engineer-DevOps

Reno, NV · On-site

$52.50 - $72/hr

This role is ideal for someone with cloud platform experience, AWS, GCP, Azure, or ops background who wants to deepen their infrastructure engineering skills in a fast, moving startup environment.

TechNix LLC

Network Engineer 3

Carson City, NV · On-site

... cloud security architecture. The engineer will ensure firewall policies are properly designed ... implemented, maintained, and documented to support secure and reliable business operations. NDOT is ...

New

Amperesand

Software Engineer-DevOps

Reno, NV · On-site

$140K - $160K/yr

This role is ideal for someone with cloud platform experience, AWS, GCP, Azure, or ops background who wants to deepen their infrastructure engineering skills in a fast, moving startup environment.

Echo Global Logistics

Sr. Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

As a Senior Software Engineer, you will be a technical leader who architects and delivers complex, cloud-native solutions that advance our platform transformation. You will drive the adoption of ...

Echo Global Logistics

Sr. Software Engineer

Reno, NV

$122K - $161K/yr

As a Senior Software Engineer, you will be a technical leader who architects and delivers complex, cloud-native solutions that advance our platform transformation. You will drive the adoption of ...

Teradata Corporation (SE)

Staff AI Engineer

Carson City, NV · On-site

$169.40 - $254.10/hr

Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You'll Do As a Senior Staff AI Engineer ...

Addison Group

Full Stack Software Engineer

Reno, NV · On-site

$50 - $60/hr

You will deploy and manage applications on the Azure cloud platform, ensuring reliability and ... As a Software Engineer - Full Stack, you will be a contributing member of a cross-functional Agile ...

next page

Showing results 1-20

All JobsCloud Engineer JobsCloud Engineer Jobs in Reno, NV

Cloud Engineer information

See Reno, NV salary details

$23

$62

$87

How much do cloud engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for cloud engineer in Reno, NV is $62.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.46 and $71.44 per hour, depending on experience, location, and employer.

What is a cloud engineer?

As a cloud engineer, you manage and monitor cloud computing systems. Your job duties include creating, testing, and implementing cloud technologies based on the demands of your business. Many cloud engineers are involved in other aspects of information technology, such as overseeing SAP projects. Strong communication skills are required to communicate with clients to understand their needs so that you can create effective solutions for them. You work closely with the entire development team to create a work plan and timeline for deliverables on a project.

What are the key skills and qualifications needed to thrive as a cloud engineer?

To thrive as a Cloud Engineer, you need a strong background in computer science, networking, and cloud computing platforms like AWS, Azure, or Google Cloud, often supported by a relevant degree or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation), containerization (Docker, Kubernetes), and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively across technical and business teams. These skills ensure efficient cloud infrastructure deployment, robust security, and seamless operations critical for modern organizations.

What are some common challenges cloud engineers face when migrating legacy systems to the cloud?

Cloud Engineers often encounter challenges such as ensuring data integrity during migration, minimizing downtime, and addressing compatibility issues between legacy applications and cloud platforms. Additionally, they must plan for security and compliance requirements while optimizing costs and performance. Collaboration with cross-functional teams, including security, application owners, and business stakeholders, is crucial to successfully navigate these complexities and deliver a seamless transition.

What is the difference between Cloud Engineer vs Cloud Administrator?

AspectCloud EngineerCloud Administrator
CertificationsAWS, Azure, Google Cloud certifications, DevOps toolsSimilar cloud platform certifications, focus on administration
Work EnvironmentDesigning, developing, and deploying cloud solutionsManaging and maintaining cloud infrastructure
ResponsibilitiesBuilding cloud architecture, automation, scriptingMonitoring, configuring, troubleshooting cloud systems
Industry UsageUsed across tech, finance, healthcare for cloud deploymentPrimarily in organizations with existing cloud infrastructure

While both roles work with cloud platforms, Cloud Engineers focus on designing and building cloud solutions, whereas Cloud Administrators manage and maintain existing cloud environments. Understanding these differences helps in choosing the right career path or job role.

Do cloud engineers get paid well?

Cloud engineers typically earn competitive salaries due to the high demand for skills in cloud platforms like AWS, Azure, and Google Cloud. Salaries vary based on experience, certifications, and location, but generally, cloud engineering is considered a well-paying IT role. Professionals with expertise in scripting, automation, and security tend to have higher earning potential.

Is cloud engineering still in demand?

Cloud engineering remains in high demand as organizations continue to migrate to cloud platforms like AWS, Azure, and Google Cloud. Professionals with skills in cloud architecture, security, and automation are sought after, and certifications such as AWS Certified Solutions Architect can enhance job prospects.

What does a cloud engineer actually do?

A cloud engineer designs, implements, and manages cloud infrastructure and services, such as AWS, Azure, or Google Cloud. They handle tasks like deploying applications, ensuring security, optimizing performance, and maintaining cloud environments, often using scripting and automation tools. Strong knowledge of networking, security, and cloud platforms is essential for this role.
More about Cloud Engineer jobs

What are popular job titles related to Cloud Engineer jobs in Reno, NV?

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

What job categories do people searching Cloud Engineer jobs in Reno, NV look for?

The top searched job categories for Cloud Engineer jobs in Reno, NV are:

What cities near Reno, NV are hiring for Cloud Engineer jobs?

Cities near Reno, NV with the most Cloud Engineer job openings:

Cloud Engineer jobs near you
Infographic showing various Cloud Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $130,419 per year, or $62.7 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Reno, NV • On-site

$150K - $180K/yr

Full-time

Posted 15 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.

Apply