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Python Tester Jobs in Connecticut (NOW HIRING)

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort. * Bridge technical gaps across modern and legacy systems by ...

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort. * Bridge technical gaps across modern and legacy systems by ...

Senior Automation Engineer

Hartford, CT · Hybrid

$104K - $137K/yr

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort. * Bridge technical gaps across modern and legacy systems by ...

Senior Automation Engineer

Stamford, CT · Hybrid

$110K - $145K/yr

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort. * Bridge technical gaps across modern and legacy systems by ...

Module Testing * Integrated Module Testing * Simulator Path Testing * Closed-Loop Bench Path ... Experience with scripting languages such as Python and Linux shell * Aerospace experience ...

Senior Software Verification Engineer

Danbury, CT · On-site

$125K - $165K/yr

Utilize Python for scripting and automation tasks * Provide configuration management and ongoing maintenance support for released software test procedures * Mentor junior engineers in testing best ...

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Python Tester information

See Connecticut salary details

$21.9K

$133.2K

$192.6K

How much do python tester jobs pay per year?

As of Jun 20, 2026, the average yearly pay for python tester in Connecticut is $133,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $156,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Tester?

A Python Tester is usually responsible for designing, developing, and executing automated test scripts to ensure the functionality and quality of software applications. Their day-to-day tasks often include writing new test cases, debugging and maintaining existing scripts, analyzing test results, and reporting defects to the development team. They also collaborate closely with software developers, QA analysts, and project managers to ensure timely detection and resolution of issues. Additionally, Python Testers may participate in code reviews and contribute to continuous integration processes to streamline software releases.

How to become a Python tester?

To become a Python tester, you should have a strong understanding of Python programming, including writing and debugging scripts. Familiarity with testing frameworks like pytest or unittest and knowledge of software testing principles are essential. Gaining experience through hands-on practice and obtaining certifications can improve job prospects.

What are the key skills and qualifications needed to thrive in the Python Tester position, and why are they important?

To thrive as a Python Tester, you need a strong background in Python programming, automated testing frameworks, and software QA methodologies, often supported by a degree in computer science or related fields. Familiarity with tools like pytest, Selenium, Jenkins, and knowledge of version control systems such as Git is typically required, and certifications in software testing (e.g., ISTQB) can be advantageous. Attention to detail, analytical thinking, and effective communication are important soft skills for identifying and reporting bugs while collaborating with developers and QA teams. These competencies are essential to ensure software reliability, efficiency, and successful cross-functional teamwork.

Will AI replace testers?

AI can automate many testing tasks such as regression testing and bug detection, but it is unlikely to fully replace Python testers who design, interpret, and manage testing processes. Human oversight remains essential for understanding complex scenarios and ensuring software quality. Testers will need to adapt by developing skills in AI tools and automation frameworks.

Is Python in high demand?

Python developers, including Python testers, are in high demand across various industries due to the language's versatility and widespread use in automation, data analysis, and web development. Skills in testing frameworks like pytest and knowledge of continuous integration tools can enhance job prospects in this field.

What is a Python Tester job?

A Python Tester is responsible for testing software applications written in Python to ensure they function correctly, efficiently, and securely. They write and execute test cases, identify bugs, and collaborate with developers to fix issues. Python Testers commonly use testing frameworks like PyTest, UnitTest, or Nose, along with automation tools like Selenium for web applications. Their role is crucial in maintaining software quality and reliability.

How do I get a Python job with no experience?

To get a Python tester role with no experience, focus on building a strong foundation in Python programming, testing frameworks, and automation tools. Create a portfolio of projects, contribute to open-source, and obtain certifications like ISTQB or Python-specific courses to demonstrate your skills to employers.
What are popular job titles related to Python Tester jobs in Connecticut? For Python Tester jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Python Tester jobs in Connecticut look for? The top searched job categories for Python Tester jobs in Connecticut are:
Infographic showing various Python Tester job openings in Connecticut as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 59% Physical, 1% Hybrid, and 40% Remote job distribution, with an average salary of $133,153 per year, or $64 per hour.
Software Engineer Intern - AI/LLM Initiative

Software Engineer Intern - AI/LLM Initiative

WorldQuant

Old Greenwich, CT

Full-time

Posted 29 days ago


Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Project Overview

Join our AI/LLM initiative, a pioneering project focused on integrating Large Language Models (LLMs) with WorldQuant's strategy management tools. As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI applications.

Role Summary

We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including development, testing, documentation, and data analysis. A key aspect of this role will involve supporting the deployment of new tools and providing assistance to end-users, particularly Portfolio Managers, during the installation and initial usage phases. This role offers a unique opportunity to gain hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies within a leading quantitative investment firm.

Key Responsibilities

  • Assist senior developers in the design, development, and testing of MCP server components and tools using Python.
  • Contribute to the enhancement of existing tools, potentially including our internal command-line data access tools, by addressing smaller bugs or implementing specific features under guidance.
  • Support the development of new MCPs by working on well-defined modules or tasks.
  • Facilitate the deployment of newly developed tools and software packages to user environments.
  • Collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support.
  • Participate in unit testing and integration testing efforts, helping to ensure software quality.
  • Assist in data validation and reconciliation tasks for strategy metrics and features.
  • Help create and update technical documentation for MCPs, related systems, and user guides.
  • Support the investigation of data sources and assist in finalizing data specifications.
  • Collaborate with the team on debugging and troubleshooting technical issues
  • Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems.

Qualifications

Core Skills

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Basic to intermediate proficiency in Python programming.
  • Understanding of software development principles and methodologies.
  • Familiarity with data structures and algorithms.

Domain-Specific Knowledge (Beneficial but not required, strong willingness to learn is key)

  • Interest in finance, quantitative trading, or financial data.
  • Basic understanding of APIs and data formats like JSON or CSV.

Technical Environment Familiarity (Helpful)

  • Experience with Linux or a similar Unix-like operating system.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of software deployment concepts.

Soft Skills

  • Strong analytical and problem-solving aptitude.
  • Eagerness to learn and a proactive attitude.
  • Excellent communication and interpersonal skills, with an ability to assist technical and non-technical users.
  • Good teamwork skills.
  • Attention to detail.

Internship Duration

  • Full time for a period of 4 to 6 months starting Aug 2025 

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Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.