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Python Cloud Engineer Jobs in Houston, TX (NOW HIRING)

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

The Senior DevOps / Cloud Engineer will lead the design, implementation, and optimization of ... Leveraging scripting languages (Python, PowerShell, Bash, or Go) and infrastructure as code tools ...

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

The Senior DevOps / Cloud Engineer will lead the design, implementation, and optimization of ... Leveraging scripting languages (Python, PowerShell, Bash, or Go) and infrastructure as code tools ...

Senior Cloud Engineer

Houston, TX · On-site

$57 - $76.25/hr

The Senior DevOps / Cloud Engineer will lead the design, implementation, and optimization of ... Leveraging scripting languages (Python, PowerShell, Bash, or Go) and infrastructure as code tools ...

Senior Cloud Engineer

Houston, TX · On-site

$53.25 - $71/hr

The Senior Cloud Engineer builds, automates, and operates Fervo's Azure-native cloud platform ... Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples

Senior Cloud Engineer

Houston, TX · On-site

$53.25 - $71/hr

Description The Senior Cloud Engineer builds, automates, and operates Fervo's Azure-native cloud ... Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples

Senior Cloud Engineer

Houston, TX · On-site

$53.25 - $71.25/hr

The Senior Cloud Engineer builds, automates, and operates Fervo's Azure-native cloud platform ... Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples

Cloud Engineer Graduate

Spring, TX · Hybrid

$49.50 - $66.25/hr

Knowledge of at least one programming language like C, C++, python, JavaScript, Java or associated libraries, web-sockets, and other cloud networking protocols. Familiarity with and understanding of ...

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

We're seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring ... Knowledge of Python, REST APIs, and Azure DevOps Preferred Certifications * Azure AI Engineer ...

The Principal Cloud Engineer is a senior technical leader responsible for designing, engineering ... Proficient in Python. * Familiarity with Generative AI platforms, AI agents, prompt engineering, AI ...

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Python Cloud Engineer information

See Houston, TX salary details

$22K

$133.7K

$193.4K

How much do python cloud engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for python cloud engineer in Houston, TX is $133,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $157,100.00 per year, depending on experience, location, and employer.

What does a Python Cloud Engineer do?

A Python Cloud Engineer is responsible for designing, developing, and maintaining cloud-based applications and infrastructure using the Python programming language. They work with cloud platforms like AWS, Azure, or Google Cloud to build scalable, secure, and efficient solutions. Their tasks often include writing automation scripts, deploying cloud resources, and ensuring the reliability and performance of cloud systems. They also collaborate with development and operations teams to streamline cloud workflows and troubleshoot issues.

What are the key skills and qualifications needed to thrive as a Python Cloud Engineer?

To thrive as a Python Cloud Engineer, you need strong proficiency in Python programming, a good understanding of cloud platforms like AWS, Azure, or Google Cloud, and experience with infrastructure-as-code and automation tools. Familiarity with CI/CD pipelines, containerization technologies (such as Docker and Kubernetes), and relevant certifications like AWS Certified Developer or Google Cloud Professional are typically important. Excellent problem-solving, collaboration, and communication skills help you navigate complex projects and work effectively in cross-functional teams. These skills and qualities are essential for developing, deploying, and maintaining scalable cloud-based solutions efficiently and securely.

How does a Python Cloud Engineer typically collaborate with cross-functional teams on cloud-based projects?

Python Cloud Engineers frequently work alongside DevOps specialists, software developers, and cloud architects to design, implement, and optimize cloud solutions. They are often involved in code reviews, infrastructure automation, and troubleshooting sessions, ensuring that services are scalable and reliable. Regular communication, agile methodologies, and shared documentation are key practices, enabling smooth integration of cloud-native applications and services across the organization.

What is the difference between Python Cloud Engineer vs Cloud Software Developer?

AspectPython Cloud EngineerCloud Software Developer
Required CredentialsPython certifications, cloud platform certifications (AWS, Azure)Programming certifications, cloud platform knowledge
Work EnvironmentCloud environments, DevOps tools, scriptingApplication development, cloud deployment
Employer & Industry UsageTech companies, cloud service providersSoftware firms, SaaS providers
Search & Comparison IntentYesYes

The main difference is that Python Cloud Engineers focus on designing and maintaining cloud infrastructure using Python, while Cloud Software Developers primarily develop applications for cloud platforms. Both roles require cloud platform knowledge and programming skills but differ in their core responsibilities and focus areas.

What cities near Houston, TX are hiring for Python Cloud Engineer jobs?

Cities near Houston, TX with the most Python Cloud Engineer job openings:

Infographic showing various Python Cloud Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $133,669 per year, or $64.3 per hour.

Senior Cloud Engineer

Houston, TX • Hybrid

ESG
Business Management Consulting • 51 - 200 employees

$53.25 - $71.25/hr

Full-time

Posted 16 days ago


Key responsibilities

  • Lead collaboration with application development teams to design and implement reliable, automated CI/CD pipelines

  • Architect, implement, and maintain cloud-native and hybrid infrastructure using Infrastructure as Code best practices

  • Design, implement, and maintain observability platforms, with a strong focus on Datadog for metrics, logs, traces, and alerting


Job description

Description

About the Role:

*THIS POSITION DOES NOT OFFER VISA SPONSORSHIP, NOW OR AT ANY TIME IN THE FUTURE*

The Senior DevOps / Cloud Engineer will lead the design, implementation, and optimization of scalable, secure, and highly available cloud and on-prem infrastructure. This role partners closely with application development, security, and infrastructure teams to drive automation, reliability, observability, and cost efficiency across the organization.

As a senior-level contributor, you will provide technical leadership, mentor engineers, influence architectural decisions, and own complex cloud and DevOps initiatives from design through production. The ideal candidate brings deep hands-on expertise in cloud platforms, virtualization, CI/CD, infrastructure as code, monitoring, and cloud cost optimization (FinOps) in hybrid environments.

We are seeking a Mid-Senior DevOps Engineer with 8+ years of relevant experience who is eager to grow their skills and contribute to our dynamic team. This is a hybrid position, and we expect the candidate to work 2-3 days a week on-site at our office.

Responsibilities:

    • Lead collaboration with application development teams to design and implement reliable, automated CI/CD pipelines
    • Architect, implement, and maintain cloud-native and hybrid infrastructure using Infrastructure as Code best practices
    • Drive automation initiatives across provisioning, deployment, monitoring, and recovery processes
    • Design, implement, and maintain observability platforms, with a strong focus on Datadog for metrics, logs, traces, and alerting
    • Establish monitoring, SLOs, and alerting strategies to improve system reliability and reduce mean time to resolution (MTTR)
    • Own and optimize cloud cost efficiency, identifying savings opportunities and implementing cost controls without compromising performance
    • Implement and maintain configuration management using tools such as Ansible, Puppet, or Chef
    • Own and optimize VMware environments, ensuring high availability, scalability, and performance
    • Serve as a senior escalation point for production incidents, performing root cause analysis and driving long-term remediation
    • Partner with security teams to enforce infrastructure security, compliance, and best practices
    • Lead disaster recovery planning, testing, and continuous improvement efforts
    • Perform regular system performance tuning, capacity planning, and cost analysis
    • Mentor junior and mid-level engineers and contribute to technical standards and documentation
    • Create and maintain detailed architecture diagrams and operational documentation

Skills:

As a Senior DevOps/Cloud Engineer, you will design and optimize scalable cloud infrastructure across AWS, Azure, or GCP, providing technical leadership for automation and reliability initiatives. You will manage VMware and container platforms such as Docker and Kubernetes to support stable deployments across Windows and Linux environments. Leveraging scripting languages (Python, PowerShell, Bash, or Go) and infrastructure as code tools like Terraform or CloudFormation, you will drive standardized, automated provisioning and delivery. Experience with CI/CD tools including Jenkins, GitLab CI, and Git is essential for building efficient deployment pipelines. Strong operational knowledge of SQL Server, IIS, and monitoring platforms such as ELK, Prometheus, or Grafana will support production performance and troubleshooting in fast-paced, agile environments.

Requirements

Minimum Qualifications:

  • Bachelor’s degree in computer science, Engineering, or a related field; advanced degree preferred
  • 7-8+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering
  • 5+ years designing, operating, and optimizing complex enterprise environments across Windows, Linux, and SQL-based systems
  • Strong expertise in enterprise data center technologies, including Storage platforms, Network switching and Security infrastructure
  • Deep experience with at least one major cloud provider (AWS preferred; Azure or GCP acceptable)
  • Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation)
  • Advanced knowledge of virtualization and container platforms: VMware (vSphere, ESXi, vCenter) and Docker/Kubernetes in production environments
  • Proficiency in scripting and automation using Python, PowerShell, Bash, and/or Go
  • Experience implementing observability and monitoring solutions, including Datadog
  • Excellent communication and leadership skills with the ability to manage priorities, influence stakeholders, and lead technical initiatives

Preferred Qualifications:

  • Experience leading large-scale cloud migrations to AWS.
  • Strong SQL Server administration experience.
  • CI/CD expertise with Jenkins, GitLab CI, Git, Jira, or CircleCI.
  • Cloud cost optimization and FinOps experience (rightsizing, RI/Savings Plans, tagging, budgets).
  • Ability to establish DevOps and cloud governance standards.