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Remote Bash Shell Scripting Jobs in Texas (NOW HIRING)

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154.20K/yr

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 ...

Working knowledge with Linux/UNIX and familiarity with shell scripting Preferred Knowledge with the following technologies: * OSGi and/or Karaf * Elasticsearch * gRPC and/or GraphQL The salary range ...

Jira Rest API integration and used Next JS Strong SQL, PostgreSQL - Snowflake and SQL Server will be a huge plus Strong Analysis skills Working knowledge of Unix OS /Shell scripting Basic Python ...

Working knowledge of Unix OS /Shell scripting * Basic Python knowledge is required * Good working knowledge of Control-M/Automation tools. * Some experience in DevOps * Production Support will be ...

... of shell scripting. * Proficient with YAML. * Experienced in working on a team following an Agile framework in a remote environment. * Strong problem-solving skills and the ability to work ...

Shell scripting * Javascript and Typescript * Knowledge of the Software Development Lifecycle and ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Shell scripting * Javascript and Typescript * Knowledge of the Software Development Lifecycle and ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Senior IBM ITXA Lead - Remote US

Plano, TX · On-site +1

$116K - $190K/yr

... shell scripting) * Familiarity with Mainframe concepts: JCL, batch scheduling, data sets etc ... The starting pay range for this remote role is $116,000 - $190,000. Actual compensation will depend ...

OpenShift Engineer

Irving, TX · On-site +1

$50.75 - $69.50/hr

Role - OpenShift Engineer Location - Irving, TX (Remote) Job Type - Long Term Contract Critical ... IaC - Ansible, Terraform, Helm Scripting skills - Python, Bash or Go CI/CD - Jenkins, Tekton RedHat ...

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Remote Bash Shell Scripting information

What are the key skills and qualifications needed to thrive as a Remote Bash Shell Scripting professional, and why are they important?

To thrive as a Remote Bash Shell Scripting professional, you need strong proficiency in Linux/Unix systems, expertise in shell scripting, and a solid understanding of system administration concepts. Familiarity with tools like Git, SSH, cron, and text processing utilities (awk, sed, grep) is typically required, and certifications such as CompTIA Linux+ or LPIC can be advantageous. Excellent problem-solving, attention to detail, and clear remote communication skills help you efficiently address issues and collaborate with distributed teams. These skills are vital for automating workflows, ensuring system reliability, and effectively supporting remote operations.

What are some common challenges faced by remote Bash Shell Scripting professionals, and how can they be effectively addressed?

Remote Bash Shell Scripting professionals often face challenges such as ensuring script compatibility across different Unix/Linux environments, managing secure access to remote servers, and collaborating with distributed teams. To address these, it's important to adhere to POSIX standards for cross-platform compatibility, leverage secure tools like SSH for remote execution, and use version control systems (like Git) for collaborative script development. Additionally, clear documentation and regular communication with team members help maintain consistency and efficiency in a remote setting.

What are Remote Bash Shell Scripting jobs?

Remote Bash Shell Scripting jobs involve writing and maintaining shell scripts using the Bash language, typically for automating tasks, managing systems, or processing data on Unix-like operating systems. These roles allow professionals to work from any location, connecting to servers or systems via remote access tools like SSH. Common responsibilities include developing automation scripts, troubleshooting issues, optimizing workflows, and collaborating with teams to streamline operations. Employers often seek individuals with strong command-line skills, experience with Linux/Unix environments, and a good understanding of scripting best practices.

What is the difference between Remote Bash Shell Scripting vs Remote Linux System Administrator?

AspectRemote Bash Shell ScriptingRemote Linux System Administrator
CredentialsBasic scripting knowledge, Linux command line familiarityLinux certifications (e.g., RHCSA, LPIC), scripting skills
Work EnvironmentWriting scripts, automating tasks via command lineManaging Linux servers, troubleshooting, system configuration
Industry UsageAutomation, DevOps, scripting tasksServer management, network configuration, security
Search & Comparison IntentAutomation, scripting jobsSystem administration, server management roles

Remote Bash Shell Scripting focuses on creating scripts to automate tasks using Bash, while Remote Linux System Administration involves managing and maintaining Linux servers. Both roles require Linux knowledge, but system administrators typically have broader responsibilities including troubleshooting and security, whereas scripting specialists focus on automation tasks.

What are the most commonly searched types of Bash Shell Scripting jobs in Texas? The most popular types of Bash Shell Scripting jobs in Texas are:
What are popular job titles related to Remote Bash Shell Scripting jobs in Texas? For Remote Bash Shell Scripting jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Bash Shell Scripting jobs in Texas look for? The top searched job categories for Remote Bash Shell Scripting jobs in Texas are:
What cities in Texas are hiring for Remote Bash Shell Scripting jobs? Cities in Texas with the most Remote Bash Shell Scripting job openings:
Senior Software Engineer, Python

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$117K - $154.20K/yr

Full-time

Posted 27 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.
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.