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Remote Tooling Engineer Jobs in Houston, TX (NOW HIRING)

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

This is a fully remote position, but candidates will be expected to be in person for initial ... Build and maintain robust platform services and internal tooling primarily in Python. * Design ...

YO AI Labs

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

ICF

Senior Transmission Line Engineer - REMOTE

Houston, TX · Remote

$99K - $137K/yr

Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are seeking a Senior Transmission Line Engineer to support and advance our growing transmission engineering ...

Qcells

SCADA Engineer - Level 2

Houston, TX · Remote

$105K - $125K/yr

Remote SCADA ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Houston, TX, specializes in providing utility-scale modules, solar photovoltaic (PV), and battery energy storage ...

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Showing results 21-40

All JobsTooling Engineer JobsRemote Tooling Engineer JobsRemote Tooling Engineer Jobs in Houston, TX

Remote Tooling Engineer information

See Houston, TX salary details

$51.6K

$105K

$156.1K

How much do remote tooling engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote tooling engineer in Houston, TX is $105,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $117,500.00 per year, depending on experience, location, and employer.

What is a remote tooling engineer?

A Remote Tooling Engineer is a professional who designs, develops, and maintains software tools and automation systems while working from a remote location. They support development teams by creating solutions that improve workflow efficiency, testing, deployment, and integration processes. These engineers often collaborate with cross-functional teams using communication tools and cloud-based services to deliver and maintain tooling solutions. Their work enables organizations to streamline operations, reduce manual tasks, and improve productivity without requiring onsite presence.

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

To thrive as a Remote Tooling Engineer, you need a strong background in software development, automation, and systems integration, typically supported by a degree in computer science or related field. Familiarity with CI/CD pipelines, scripting languages (like Python or Bash), cloud platforms, and configuration management tools is essential. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in distributed teams. These competencies are crucial for efficiently building reliable development tools and maintaining workflows across remote environments.

How does a remote tooling engineer typically collaborate with development and operations teams in a distributed work environment?

As a Remote Tooling Engineer, you'll frequently work with both development and operations teams to design, implement, and maintain tools that streamline workflows and increase efficiency. Collaboration usually happens through virtual meetings, chat platforms, and collaborative documentation, requiring strong communication and proactive updates. You'll often participate in sprint planning, code reviews, and troubleshooting sessions, making it essential to be comfortable with asynchronous communication and documentation. Building trust and clear channels for feedback are key to successful teamwork in a remote setting.

What is the difference between Remote Tooling Engineer vs Software Developer?

AspectRemote Tooling EngineerSoftware Developer
Required credentialsBachelor's in Engineering, Computer Science, or related field; experience with tooling and automationBachelor's in Computer Science or related field; programming skills
Work environmentRemote, often in tech or manufacturing industries, focusing on tooling systemsRemote or on-site, in various industries developing software applications
Employer usageTech companies, manufacturing firms, companies with automation needsTech firms, startups, enterprises developing software products

Remote Tooling Engineers focus on designing and maintaining automation tools and systems, often in manufacturing or tech environments. Software Developers create applications and software solutions across diverse industries. While both roles require technical skills and often remote work, their core responsibilities differ significantly.

What are the most commonly searched types of Tooling Engineer jobs in Houston, TX?

The most popular types of Tooling Engineer jobs in Houston, TX are:

What are popular job titles related to Remote Tooling Engineer jobs in Houston, TX?

For Remote Tooling Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Tooling Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Tooling Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Tooling Engineer jobs?

Cities near Houston, TX with the most Remote Tooling Engineer job openings:

Remote Tooling Engineer jobs near you
Infographic showing various Remote Tooling Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $105,035 per year, or $50.5 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$117K - $154K/yr

Full-time

Re-posted 7 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
This is a fully remote position, but candidates will be expected to be in person for initial onboarding.
We're hiring a Senior Software Engineer to join our Platform Team. You'll help design and build the core services, internal APIs, and data workflows that power ComboCurve's products. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building platform capabilities that make the rest of engineering faster and more reliable.
What You'll Do
  • Build and maintain robust platform services and internal tooling primarily in Python.
  • Design clean, well-typed interfaces and services that scale with growing data volumes and product needs.
  • Develop and own internal APIs that other teams depend on, with strong contracts and documentation.
  • Create high-performance data processing paths inside services to support analytics and ingestion workloads.
  • Deploy and operate Python services on GCP using serverless and managed platforms.
  • Improve CI/CD pipelines, testing practices, and developer experience across the platform.
  • Partner closely with product engineers, data engineers, and leadership to shape platform direction.
  • Write ADRs, architecture diagrams, and technical documentation that scale decision-making.
  • Mentor other engineers through code reviews, pairing, and pragmatic standards-setting.

Requirements
  • Advanced Python Proficiency: Deep expertise in Python 3.13+, specifically utilizing type annotations, async/await patterns, and modern language features to build robust platform services.
  • Modern Dependency Management: Hands-on experience with uv for fast package management (or similar), dependency resolution, and virtual environment handling.
  • Software Architecture Patterns: Strong adherence to SOLID principles and clean architecture; ability to design decoupled, maintainable systems that scale.
  • API Design & Development: Experience designing internal APIs using REST or gRPC, including defining clear, standard contracts using OpenAPI specifications.
  • High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg for efficient large-scale data manipulation and processing within application logic.
  • Data Warehouse Integration: Experience connecting Python applications to modern data platforms like Snowflake or Databricks for data ingestion and retrieval.
  • Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically using Cloud Run, Cloud Functions, and Google Cloud Storage.
  • CI/CD: Ability to design and maintain pipelines for automated testing, linting, and cloud deployment; experience with GitHub Actions is strongly preferred.
  • Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest, including the use of fixtures, parameterization, and mocking external services.
  • Technical Leadership: Ability to mentor team members through code reviews, ADRs and architecture diagrams.
  • AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM orchestration tools to enhance platform automation and capabilities.
  • Shell Scripting: Competency in Bash scripting for automating local developer tasks, build processes, or operational utility scripts.
  • Version Control Mastery: Deep understanding of Git, including branching strategies, conflict resolution, and maintaining a clean commit history.
  • Containerization: Proficiency in Docker and Docker Compose for creating consistent local development environments and production-ready images.
  • Static Analysis Configuration: Familiarity with enforcing code quality standards using ruff for linting and pyright for strict static type checking.

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