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Senior Python Engineer Jobs in Jeffersonville, IN

Texas Roadhouse

Senior DevSecOps Engineer

Louisville, KY · On-site

$104K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Why This Role Rocks As a Senior DevSecOps Engineer, you'll be at the heart of protecting our cloud ... Scripting experience (Python, PowerShell, or Bash) Bonus Points For: * CSPM tools, WAF/API security ...

Waystar

Sr. Technical Services Engineer I

Louisville, KY · On-site

  • Medical

  • Retirement

  • PTO

... Engineer to join our Enterprise Technology team. This is a senior individual-contributor role ... Build and maintain automation using PowerShell and/or Python * Develop tools for reporting ...

Waystar

Sr. Technical Services Engineer I

Louisville, KY · On-site

  • Medical

  • Retirement

  • PTO

... Engineer to join our Enterprise Technology team. This is a senior individual-contributor role ... Build and maintain automation using PowerShell and/or Python * Develop tools for reporting ...

PPL Corporation

Senior Developer

Louisville, KY

$52.25 - $69.25/hr

... Java, Python, Azure an MQ Series etc. Excitement, curiosity, and passion for shaping the future ... DevOps, Multi-Cloud technologies, IoT, Intelligent Automation, RPA, Test automation, artificial ...

El Toro.com

Data Platform Engineer I

Louisville, KY

$109K - $131K/yr

  • Medical

  • Life

  • Retirement

Implement features and bug fixes in Go within your team's domain, collaborating with and learning from senior engineers as you ramp up. * Code Quality: Write readable, maintainable Python code that ...

Patientco

Sr. Manager, Systems Engineering

Louisville, KY · On-site +1

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are seeking a Senior Manager of Systems Engineering to lead the design ... PowerShell, Python). * Experience in regulated or highavailability environments. ABOUT WAYSTAR ...

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Implement features and bug fixes in Go within your team's domain, collaborating with and learning from senior engineers as you ramp up. * Code Quality: Write readable, maintainable Python code that ...

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Showing results 21-40

All JobsPython Engineer JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Jeffersonville, IN

Senior Python Engineer information

See Jeffersonville, IN salary details

$52.7K

$136.1K

$186.9K

How much do senior python engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior python engineer in Jeffersonville, IN is $136,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $156,700.00 per year, depending on experience, location, and employer.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the key skills and qualifications needed to thrive as a senior Python engineer, and why are they important?

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.

Are senior Python engineers in demand?

Senior Python engineers are highly in demand due to the language's widespread use in web development, data analysis, machine learning, and automation. Companies seek experienced developers with strong problem-solving skills and knowledge of frameworks like Django or Flask, making this a competitive and growing field.

What cities near Jeffersonville, IN are hiring for Senior Python Engineer jobs?

Cities near Jeffersonville, IN with the most Senior Python Engineer job openings:

Senior Python Engineer jobs near you
Infographic showing various Senior Python Engineer job openings in Jeffersonville, IN as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $136,105 per year, or $65.4 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Louisville, KY • On-site

$140 - $190/hr

Other

Re-posted 3 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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