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Cloud Implementation Engineer Jobs in Texas (NOW HIRING)

STEMXPERT LLC

Cloud engineer

Fort Worth, TX

$53.50 - $71.50/hr

... Implementation &Administration Position details: Position: Cloud Engineer (Must Have Docker & Cloud Foundry exp) Job Location: Ft. Worth, TX Duration: 6+ Months Contract + Extensions Total ...

Sonsoft Inc

Public Cloud & AWS

Plano, TX · On-site

$53.25 - $71.25/hr

Drive Cloud Devops initiatives leveraging native AWS services with Cloud Operations team and Customer stakeholders. * Creating functional design specifications, implementation and test script plans ...

Sonsoft Inc

Public Cloud & AWS

Plano, TX · On-site

$53.25 - $71.25/hr

Drive Cloud Devops initiatives leveraging native AWS services with Cloud Operations team and Customer stakeholders. * Creating functional design specifications, implementation and test script plans ...

Cymertek Corporation

Cloud Engineer

San Antonio, TX · On-site

$50.25 - $67.25/hr

They are seeking a dynamic Cloud Engineer to design, implement, and manage cloud-based solutions, collaborating with a talented team to enhance system performance, security, and scalability.

Interactive Process Technology LLC

Cloud Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Implement cloud security controls including RBAC, secure configuration baselines, and STIG compliance * Collaborate with software developers, data engineers, data scientists, and cybersecurity teams ...

Sonsoft Inc

Cloud Architect (AWS and Cloud)

Plano, TX · On-site

$62.25 - $79.25/hr

Drive Cloud Devops initiatives leveraging native AWS services with Cloud Operations team and Customer stakeholders. * Creating functional design specifications, implementation and test script plans ...

Interactive Process Technology LLC

Cloud Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Implement cloud security controls including RBAC, secure configuration baselines, and STIG compliance * Collaborate with software developers, data engineers, data scientists, and cybersecurity teams ...

Sonsoft Inc

Cloud Architect (AWS and Cloud)

Plano, TX · On-site

$62.25 - $79.25/hr

Drive Cloud Devops initiatives leveraging native AWS services with Cloud Operations team and Customer stakeholders. * Creating functional design specifications, implementation and test script plans ...

Kanak Elite Services Inc

Cloud Engineer

Plano, TX · On-site

$53.25 - $71.25/hr

Cloud Engineer Location : Plano, TX Onsite Duration : 6 Months to 1 year Interview : Must Be ... Implement automation and orchestration to streamline cloud operations. * Design, implement, and ...

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Showing results 21-40

All JobsCloud Implementation Engineer JobsCloud Implementation Engineer Jobs in Texas

Cloud Implementation Engineer information

See Texas salary details

$12

$46

$71

How much do cloud implementation engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for cloud implementation engineer in Texas is $46.90, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $53.37 per hour, depending on experience, location, and employer.

What is a cloud implementation engineer?

A Cloud Implementation Engineer is a technical professional responsible for deploying, configuring, and integrating cloud-based solutions for organizations. They work closely with clients and internal teams to assess requirements, design cloud architectures, and ensure smooth migration from on-premises systems to cloud environments. Their role often includes automating processes, troubleshooting issues, and optimizing cloud resources for performance and cost efficiency. Cloud Implementation Engineers are familiar with major cloud platforms like AWS, Azure, or Google Cloud, and must stay current with rapid technological changes in the cloud computing field.

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

To thrive as a Cloud Implementation Engineer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure deployment, and scripting, typically backed by a relevant degree and cloud certifications. Familiarity with infrastructure-as-code tools (like Terraform or CloudFormation), CI/CD pipelines, and monitoring systems is commonly required. Strong problem-solving skills, effective communication, and adaptability help you collaborate with teams and address evolving client needs. These abilities ensure secure, efficient, and scalable cloud solutions that meet organizational goals.

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

Cloud Implementation Engineers often encounter challenges such as compatibility issues between legacy applications and modern cloud platforms, ensuring data integrity during migration, and minimizing downtime for business operations. Collaborating closely with cross-functional teams—including developers, security specialists, and business stakeholders—is crucial to address these challenges. Additionally, engineers must carefully plan and execute testing to ensure that migrated systems function seamlessly in the new environment while meeting performance and compliance requirements.

What is the difference between Cloud Implementation Engineer vs Cloud Solutions Architect?

AspectCloud Implementation EngineerCloud Solutions Architect
Primary FocusImplementing and configuring cloud solutions based on design specificationsDesigning and planning cloud architecture to meet business needs
CertificationsAWS, Azure, or Google Cloud certifications, relevant technical certificationsSame certifications, with additional emphasis on architecture and design
Work EnvironmentHands-on deployment, configuration, and troubleshooting in cloud environmentsHigh-level planning, architecture design, and client consultation
Employer & Industry UsageCloud service providers, IT consulting firms, enterprise IT teamsCloud consulting firms, large enterprises, cloud service providers

While both roles require cloud certifications and involve working with cloud platforms, the Cloud Implementation Engineer focuses on deploying and configuring solutions, whereas the Cloud Solutions Architect concentrates on designing and planning cloud architectures to align with business goals.

Are cloud implementation engineers still in demand?

Yes, cloud implementation engineers are in high demand due to the ongoing growth of cloud computing and digital transformation initiatives. They are needed to deploy, configure, and optimize cloud services using platforms like AWS, Azure, and Google Cloud, often requiring certifications and strong technical skills. The role is expected to remain relevant as organizations continue migrating to the cloud environment.

Is implementation engineer a good job?

An implementation engineer, particularly in cloud computing, is a technical role focused on deploying and integrating software solutions, often requiring skills in cloud platforms like AWS or Azure. It offers opportunities for growth, problem-solving, and collaboration, with job stability and competitive salaries in the tech industry. Success in this role typically depends on technical expertise, certifications, and experience with project management.

What cities in Texas are hiring for Cloud Implementation Engineer jobs?

Cities in Texas with the most Cloud Implementation Engineer job openings:

AI Implementation Specialist (AI Governance, Gateways, Platform Control)

Coppell, TX • On-site

Island
See more jobs at Islandexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Description
About The Role
Island is seeking an AI Implementation Specialist to help enterprise customers design,
deploy, and operationalize AI governance and control across their organizations. In this role,
you will serve as a trusted advisor on AI strategy, guide large-scale enterprise AI rollouts,
and configure critical AI control points, such as MCP Gateways and custom hooks, to protect
sensitive data and enforce compliance. You will lead technical discovery, deliver executive-
level platform demonstrations, and architect scalable solutions using Island's Enterprise AI
Platform.
Key Responsibilities
  • Collaborate with customers to gather process and AI strategy requirements, clarify
  • objectives, define success metrics, and align priorities with Island's AI Platform
  • capabilities.
  • Provide consultative guidance to customers on AI security, governance, visibility, and
  • operationalization best practices, using telemetry to recommend policies that keep
  • them compliant with organizational and regulatory standards.
  • Design and implement AI governance policies integrated with customer
  • infrastructure, delivering visibility and control across SaaS and desktop AI
  • applications and agents.
  • Deliver executive-facing technical demonstrations of Island's AI Platform, tailored to
  • the customers industry and use cases.
  • Create documentation, deliver technical enablement sessions, and train customers on
  • Island's AI platform.
  • Troubleshoot, maintain, and optimize existing AI deliverables in customer
  • environments.
  • Engage with customer stakeholders across technical and business teams to ensure
  • successful deployment and adoption of AI solutions.

Requirements
  • 2+ years in a customer-facing technical role (e.g., Solutions Architect,
  • Implementation Engineer, Sales Engineer, Technical Account Manager) at an
  • enterprise SaaS, Cybersecurity, or Cloud infrastructure vendor.
  • 2+ years of enterprise software delivery or technical consulting experience, with
  • hands-on exposure deploying AI tooling, LLM integrations, or modern API
  • architectures.
  • Proven track record of guiding Fortune 500 or large enterprise clients through
  • complex technical deployments or digital transformation initiatives.
  • Strong working knowledge of enterprise security concepts, Data Loss Prevention
  • (DLP), Zero Trust concepts, and how LLMs handle sensitive data (PII, IP, source
  • code).
  • Hands-on experience integrating and managing AI control points (e.g., LLM
  • Gateways, API proxies, inference hooks, or Model Context Protocol connectors).
  • Strong understanding of web application execution, API integration models, and
  • event-driven architectures (REST, Webhooks, JSON-RPC, JavaScript/browser
  • execution models).
  • Strong executive communication skills, with a demonstrated ability to translate
  • complex technical architectures for C-level, security, and business stakeholders.
  • Creative problem-solving skills with a track record of driving successful customer
  • outcomes in fast-paced, ambiguous environments.

  • Preferred Qualifications
  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or
  • equivalent practical experience. Relevant industry certifications (e.g., CISSP, CCSP,
  • or Cloud/AI Practitioner certifications) are a plus.
  • Practical experience configuring and deploying AI integration layers, LLM Gateways,
  • or API control points (e.g., Model Context Protocol/MCP, LiteLLM, LangChain, or
  • custom inference hooks).
  • Familiarity with enterprise Zero Trust architectures, Enterprise Browsers, or endpoint
  • security platforms.
  • Experience integrating platform telemetry and audit logs with enterprise SIEM or
  • analytics platforms (e.g., Splunk, Datadog, Microsoft Sentinel).
  • Exposure to AI governance frameworks, data privacy regulations, or enterprise
  • compliance standards (e.g., NIST AI RMF, EU AI Act, ISO 42001, SOC 2).

Benefits
  • Comprehensive health, dental, and vision coverage
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Professional development and continuous learning opportunities
  • Highly collaborative, performance-driven culture

Island is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.Island is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

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