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Remote Python Automation Engineer Jobs in Leesville, SC

Staff Forward Deployed Engineer

North, SC · On-site +1

$100K - $500K/yr

This role is remote, based out of North America, with preference near one of our main hubs: Santa ... Experience with observability and infrastructure automation, e.g. Prometheus, Grafana ...

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

Comfortable working within continuous integration pipelines and automation workflows * Excellent ... Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision ...

Senior Frontend Engineer

North, SC · Remote

$140K - $160K/yr

Remote How You'll Make an Impact: As a Senior Frontend Engineer on the squad, you'll build and ... automation across unit, integration, and end-to-end levels * Excellent problem-solving and ...

Senior Frontend Engineer

North, SC · Remote

$140K - $160K/yr

Remote How You'll Make an Impact: As a Senior Frontend Engineer on the squad, you'll build and ... automation across unit, integration, and end-to-end levels * Excellent problem-solving and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Showing results 21-40

Remote Python Automation Engineer information

See Leesville, SC salary details

$18.7K

$114K

$164.9K

How much do remote python automation engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote python automation engineer in Leesville, SC is $113,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $134,000.00 per year, depending on experience, location, and employer.

What is a remote Python automation engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

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

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What job categories do people searching Remote Python Automation Engineer jobs in Leesville, SC look for?

The top searched job categories for Remote Python Automation Engineer jobs in Leesville, SC are:

What cities near Leesville, SC are hiring for Remote Python Automation Engineer jobs?

Cities near Leesville, SC with the most Remote Python Automation Engineer job openings:

Staff Forward Deployed Engineer

Tenstorrent

North, SC • On-site, Remote

$100K - $500K/yr

Full-time

Posted 14 days ago


Job description

We're looking for a Forward Deployed Engineer who's excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact.

This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box.
  • You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact.
  • You work directly with customers to understand their challenges and provide effective solutions.
  • You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if need be.
  • You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data.

What We Need

  • Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer).
  • Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria.
  • Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale.
  • Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry.
  • Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache.

What You Will Learn

  • Where co-design of AI hardware and software translates into unique latency and throughput performance.
  • How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs.
  • What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster-scale validation, and production ownership.
  • Why customer insights from the field shape the best products.
  • How to build agentic workflows for asymmetric impact.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.