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Pytest Jobs in Minnesota (NOW HIRING)

Pi Square Technologies LLC

Java Full Stack

Minneapolis, MN · On-site

$54.75 - $70.75/hr

Own quality with PyTest/JUnit , integration and contract testing; enable CI/CD automation. * Deliver GenAI capabilities: prompt design, RAG pipelines, agent orchestration, and workflow automation.

Target

AI/ML Engineer - RecSys (ML Ops)

Minneapolis, MN · On-site +1

$75K - $135K/yr

Experience with software version control such as Git and software test coverage practices/frameworks such as PyTest or JUnit * Excellent communication skills with the ability to clearly tell data ...

All JobsPytest JobsPytest Jobs in Minnesota

Pytest information

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What are popular job titles related to Pytest jobs in Minnesota? For Pytest jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Minnesota look for? The top searched job categories for Pytest jobs in Minnesota are:
Pytest jobs near you
Java Full Stack

Java Full Stack

Pi Square Technologies LLC

Minneapolis, MN • On-site

$54.75 - $70.75/hr

Full-time

Posted 3 days ago

Job description

Java Full Stack
Summary
We are seeking a full-stack engineer skilled in Python and Java (Spring Boot), experienced with modern backend frameworks and React-based frontend development, and capable of delivering production-grade GenAI solutions (LLMs, RAG, Agents, MCP, guardrails). The candidate should be able to design, build, and operate scalable services and applications using modern AI patterns with strong software craftsmanship.
Responsibilities
  • Build backend services in Python (Flask, FastAPI, Django) and Java (Spring Boot); design clean APIs, integrations, and background jobs.
  • Develop user interfaces using React (preferred); collaborate on UX, component libraries, accessibility, and performance.
  • Own quality with PyTest/JUnit, integration and contract testing; enable CI/CD automation.
  • Deliver GenAI capabilities: prompt design, RAG pipelines, agent orchestration, and workflow automation.
  • Productionize AI with guardrails for safety, compliance, observability, and fallback strategies; measure latency, cost, and accuracy.
  • Work across data layers: vector stores, relational DBs, caching, and secure connectors; ensure data privacy and governance.
  • Collaborate across product, design, and platform teams; review code, architect solutions, document decisions, and mentor peers.

Required Skills & Experience
Backend (Python & Java)
  • Strong in Python and Java (Spring Boot) - APIs, microservices, async processing, and performance optimization.
  • Frameworks: Flask, FastAPI, Django, Spring Boot (REST, security, data, microservices).
  • API design (REST/JSON), OpenAPI, OAuth/OIDC, JWT, RBAC.

Frontend
  • React (preferred) or Angular: component design, state management, routing, testing (Jest, Playwright).
  • Build tooling: Vite/Webpack, npm/yarn.

GenAI / Agentic AI
  • LLM fundamentals, embeddings, prompt design, tool/function calling.
  • RAG architectures and evaluation approaches.
  • Agents: orchestration, memory, multi-agent patterns.
  • MCP, guardrails, and secure AI patterns.
  • Frameworks: LangChain/LangGraph, CrewAI (plus Haystack/LlamaIndex familiarity).

Data & Infrastructure
  • Vector DBs, PostgreSQL/MySQL, Redis.
  • Cloud & DevOps: Docker, Kubernetes, CI/CD, observability.
  • Messaging/streaming: Kafka/MQ; batch vs. real-time processing.
  • Cloud & DevOps: Azure (preferred) and Azure AI services, Docker, Kubernetes.
  • Hands-on with AKS, EKS deployments, Helm charts, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).

Preferred Qualifications
  • Experience delivering production-grade GenAI applications with measurable outcomes.
  • Integration with LLM providers (OpenAI, Anthropic, local models).
  • AI observability, evaluation frameworks, and guardrail telemetry.
  • Financial services / regulated environment experience.

Education
  • BS/MS in Computer Science or equivalent experience.

Experience
  • Staff Engineer (Onshore): 8+ years; leads architecture, cross-team design, and AI governance.

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