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Python Automation Testing Jobs in North Tonawanda, NY

Implement automated testing and validation of network changes. * Troubleshoot and resolve ... Design, develop, and maintain applications, scripts, APIs, and automation tools using: * Python ...

... Python services (as well as Kotlin and C for our Mobile and Embedded friends ... If creating direction for and implementing top-tier development tools, automation, infrastructure ...

... documentation, testing, analysis, and workflow automation * Implement and maintain ... Contribute handson development using modern languages and frameworks (e.g., Java, Python, C#)

Network Cloud Architect

Buffalo, NY · On-site

$62.75 - $84/hr

... Automation 5. Python or Go 6. Soft Skills enabling and experience with, meeting with business ... Network and application observability, telemetry, and synthetic testing platforms such as Splunk ...

Lead AI Platform Engineer

Buffalo, NY · On-site

$116K - $194K/yr

... documentation, testing, analysis, and workflow automation * Implement and maintain retrieval ... Contribute hands-on development using modern languages and frameworks (e.g., Java, Python, C#)

Overview Responsible at the proficient level for designing, developing, testing, and maintaining ... Develop and support automation, integration, and data-processing solutions using Python.

Overview Responsible at the proficient level for designing, developing, testing, and maintaining ... Develop and support automation, integration, and data-processing solutions using Python.

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Python Automation Testing information

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How much do python automation testing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for python automation testing in North Tonawanda, NY is $47.86, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $54.52 per hour, depending on experience, location, and employer.

What is Python automation testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What are the key skills and qualifications needed for Python automation testing?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are common challenges in Python automation testing, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What job categories do people searching Python Automation Testing jobs in North Tonawanda, NY look for?

The top searched job categories for Python Automation Testing jobs in North Tonawanda, NY are:

What cities near North Tonawanda, NY are hiring for Python Automation Testing jobs?

Cities near North Tonawanda, NY with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in North Tonawanda, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $99,559 per year, or $47.9 per hour.

Derivatives Analytics & AI Solutions Engineer

Niagara Falls, NY • On-site

Mizuho Financial Group Inc.
Finance and Insurance • 10K+ employees

$120K - $180K/yr

Other

Posted 3 days ago

New


Job description

Overview

Derivatives Analytics & AI Solutions Engineer – support the design, structuring, and delivery of complex hedging and financing solutions across corporate, sponsor, and institutional clients. This role sits at the intersection of financial engineering, data platforms, and AI‑driven workflow automation to enhance the team’s ability to analyze risk, price transactions, and deliver scalable derivatives solutions in a fast‑paced front‑office environment.

Key Responsibilities
  • Build analytical tools to support pricing, structuring, and risk analysis of derivatives transactions (e.g., interest rate, FX, and structured financing products).
  • Develop models and workflows to evaluate client financials, hedging strategies, deal‑contingent risk, and financing structures.
  • Support transaction lifecycle analytics, including scenario modeling, sensitivities, and performance tracking.
  • Interface with front‑office teams and clients executing OTC derivatives and hedging transactions linked to financing and capital markets activities.
  • Design and implement AI‑agentic workflows to streamline trade analysis and structuring workflows, client pitch and scenario generation, research, market monitoring, and idea generation.
  • Build internal knowledge tools to enhance access to prior trades, structures, and market insights, accelerating decision‑making in live deal environments.
  • Integrate AI tools with internal systems, databases, and APIs to enable real‑time analytics and execution support.
  • Contribute to the development of proprietary platforms supporting structured hedging solutions, portfolio hedging and risk transfer strategies, client reporting and analytics.
  • Translate front‑office needs into scalable SaaS‑style tools used across sales, trading, and banking teams.
Required Qualifications
  • Bachelor’s degree in Engineering, Computer Science, Finance, Mathematics, or a related quantitative field.
  • 3‑5 years of experience in financial analytics, data engineering, or structured products OR a combination of software engineering and capital markets experience.
  • General knowledge of interest rate and currency derivatives related hedging strategy.
  • Familiarity with hedge accounting preferable.
  • Strong programming skills: Python (numpy, pandas, scipy, scikit‑learn, langchain/langgraph), JavaScript, TypeScript, SQL (preferred).
  • Experience building data pipelines and analytics platforms, financial or risk models.
Compensation & Benefits
  • Base salary range: $120,000 – $180,000.
  • Potential discretionary bonus.
  • Generous employee benefits package.
Work Arrangement

Hybrid working program with varying opportunities for remote work depending on the nature of the role, department needs, and local laws and regulatory obligations. Some roles have greater in‑office requirements that will be communicated during the recruitment process.

EEO & Workplace Policies
  • Mizuho is an EEO/AA Employer – M/F/Disability/Veteran.
  • We participate in the E‑Verify program.
  • We maintain a drug‑free workplace and reserve the right to require pre‑ and post‑hire drug testing as permitted by applicable law.
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