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Remote Python Startup Jobs in Houston, TX (NOW HIRING)

Careflow

DevOps Engineer

Houston, TX · Remote

$54 - $74/hr

... remote environment. Nice-to-Have Qualifications * Experience working in startup or high-growth ... Experience with Python, TypeScript, Node.js, or similar technologies. * Experience building ...

Lantern

Strategy Analyst

Houston, TX · Remote

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

The Woodlands, TX · Remote

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

All JobsRemote Python Startup JobsRemote Python Startup Jobs in Houston, TX

Remote Python Startup information

See Houston, TX salary details

$12

$55

$82

How much do remote python startup jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote python startup in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Remote Python Startup?

A Remote Python Startup is a company or organization that is in its early stages of development and primarily operates remotely, with its team members working from different locations. The startup's core products or services are typically built using the Python programming language, which is known for its versatility and ease of use in web development, data science, automation, and more. Working at a remote Python startup often requires strong collaboration skills, self-motivation, and proficiency in Python and related technologies. Team members typically communicate through online tools and platforms to manage projects, build products, and solve problems together.

What are the key skills and qualifications needed to thrive as a Remote Python Developer at a startup, and why are they important?

To thrive as a Remote Python Developer at a startup, you need strong proficiency in Python programming, problem-solving abilities, and experience with web frameworks or APIs, often supported by a degree in computer science or related field. Familiarity with tools like Git, Docker, cloud platforms (AWS, GCP), and continuous integration systems is typically required. Self-motivation, adaptability, and excellent written communication are crucial soft skills for collaborating within distributed, fast-paced startup teams. These skills ensure you can deliver effective solutions, adapt to evolving priorities, and contribute positively to the startup's growth and remote culture.

What is the difference between Remote Python Startup vs Remote Data Analyst?

AspectRemote Python StartupRemote Data Analyst
Required CredentialsPython programming skills, possibly some web frameworks, basic data handlingStatistical knowledge, data analysis tools, SQL, possibly some programming
Work EnvironmentTech startups, flexible remote settings, collaborative teamsBusiness or tech companies, remote or hybrid, focus on data insights
Industry UsageSoftware development, startups, tech industryFinance, marketing, healthcare, and other data-driven sectors

Remote Python Startup roles focus on software development using Python, often in startup environments, while Remote Data Analyst positions emphasize analyzing data to inform business decisions. Both roles require technical skills but differ in focus and industry application.

How does working at a remote Python startup typically differ from larger, more established companies in terms of daily responsibilities and team collaboration?

At a remote Python startup, you can expect to wear multiple hats, often taking on responsibilities beyond strict coding, such as contributing to product decisions or helping shape development processes. Daily tasks are usually fast-paced and can shift rapidly as priorities change, requiring adaptability and strong self-motivation. Team collaboration often relies on digital tools like Slack, GitHub, and video meetings, fostering a culture of frequent communication and autonomy. This environment provides unique opportunities for rapid skill growth, direct impact on the company's success, and close collaboration with founders and cross-functional teams.
What are the most commonly searched types of Python Startup jobs in Houston, TX? The most popular types of Python Startup jobs in Houston, TX are:
What are popular job titles related to Remote Python Startup jobs in Houston, TX? For Remote Python Startup jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Startup jobs in Houston, TX look for? The top searched job categories for Remote Python Startup jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Startup jobs? Cities near Houston, TX with the most Remote Python Startup job openings:
Remote Python Startup jobs near you
DevOps Engineer

DevOps Engineer

Careflow

Houston, TX • Remote

$54 - $74/hr

Full-time

Posted 4 days ago

Job description

About the Role

We are looking for an experienced DevOps Engineer to own and improve our cloud infrastructure, security, observability, and operational reliability. This role is responsible for ensuring our platform remains secure, scalable, performant, and highly available as we continue to grow.

The ideal candidate is someone who enjoys wearing multiple hats—building infrastructure, improving deployment processes, monitoring production systems, and troubleshooting issues across the stack. As a bonus, we would love someone who is comfortable diving into the application codebase to diagnose and resolve bugs when needed.

This is a fully remote position. We are particularly interested in candidates who can provide weekend coverage on Saturdays and take another day off during the week in exchange.


What You'll Do

Cloud Infrastructure & Operations

  • Manage and maintain our Google Cloud Platform (GCP) environment.
  • Design, implement, and improve infrastructure for scalability, reliability, and cost efficiency.
  • Manage networking, compute resources, databases, storage, and cloud services.
  • Monitor system health and proactively address performance bottlenecks.


Monitoring, Logging & Observability

  • Build and maintain centralized logging and monitoring solutions.
  • Create dashboards and alerts for system health, application performance, and business-critical workflows.
  • Establish operational metrics and usage tracking across the platform.
  • Lead incident response and root cause analysis efforts.
  • Monitor and manage spend


Security & Compliance

  • Implement and maintain security best practices across infrastructure and applications.
  • Manage identity and access controls, secrets management, and environment security.
  • Conduct security reviews and vulnerability remediation.
  • Assist with compliance initiatives and audit readiness.


CI/CD & Automation

  • Improve deployment pipelines and release processes.
  • Automate infrastructure provisioning and operational workflows.
  • Enhance development environments and deployment reliability.
  • Reduce manual operational tasks through automation.


Reliability Engineering

  • Improve uptime, resiliency, backup strategies, and disaster recovery processes.
  • Establish service-level objectives and operational standards.
  • Drive improvements in platform stability and performance.


Cross-Functional Support

  • Partner with engineering, product, and leadership teams to support company initiatives.
  • Provide technical guidance on infrastructure and operational considerations.
  • Participate in an on-call and operational support rotation.


Bonus Responsibilities

  • Troubleshoot and fix application-level issues when needed.
  • Contribute code improvements and bug fixes across the platform.
  • Assist with performance optimization and debugging efforts.


What Success Looks Like

Within your first 90 days, you will:

  • Gain ownership of our GCP infrastructure and environments.
  • Establish visibility into system performance, reliability, and usage metrics.
  • Improve monitoring, alerting, and incident response processes.
  • Identify and address security and operational risks.
  • Reduce infrastructure-related issues and deployment friction.
  • Become a trusted technical resource for platform reliability and operational excellence.


Position Details

  • Role: DevOps Engineer
  • Employment Type: Full-Time
  • Location: Fully Remote
  • Schedule: Flexible, with availability to provide Saturday coverage and take another weekday off
  • Reports To: Lead Architect


This role is ideal for someone who enjoys both infrastructure ownership and hands-on problem solving, and wants to have a significant impact on the reliability, security, and scalability of a growing software platform.


Requirements:

Required Qualifications

  • 5+ years of DevOps, Site Reliability Engineering, Cloud Engineering, or related experience.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Experience building and maintaining CI/CD pipelines.
  • Strong understanding of infrastructure monitoring, logging, and alerting systems.
  • Experience with cloud security best practices.
  • Experience managing production environments and incident response.
  • Strong Linux administration skills.
  • Experience with Infrastructure as Code tools (Terraform preferred).
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Strong troubleshooting and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Ability to work independently in a fully remote environment.


Nice-to-Have Qualifications

  • Experience working in startup or high-growth environments.
  • Experience with healthcare technology or regulated environments.
  • Ability to read and contribute to application code.
  • Experience with Python, TypeScript, Node.js, or similar technologies.
  • Experience building internal tooling and automation.
  • Experience with data pipelines and analytics infrastructure.