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Pattern Tester Jobs in Ohio (NOW HIRING)

IS Application Manager - Sr - GCP

Columbus, OH · On-site

$92K - $127K/yr

The manager will lead cross-functional Agile teams of developers, analysts, testers, Scrum Masters ... Maintain evergreen documentation including application architecture, cloud deployment patterns ...

New

Lead Software Engineer

Columbus, OH · On-site

  • Medical

  • Retirement

... testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI ...

Lead Software Engineer

Columbus, OH · On-site

  • Medical

  • Retirement

... testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI ...

... testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI ...

Lead Software Engineer

Columbus, OH · On-site

  • Medical

  • Retirement

... testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI ...

Showing results 21-40

Pattern Tester information

See Ohio salary details

$10

$45

$66

How much do pattern tester jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for pattern tester in Ohio is $45.20, according to ZipRecruiter salary data. Most workers in this role earn between $35.67 and $53.27 per hour, depending on experience, location, and employer.

What is a pattern tester?

A Pattern Tester is responsible for reviewing and testing sewing, knitting, or crochet patterns to ensure they are accurate, clear, and easy to follow. They follow the designer's instructions, check for errors, and provide feedback on sizing, fit, and overall usability. Pattern Testers help designers refine their patterns before they are released to the public. This role requires attention to detail, technical skills, and the ability to communicate constructive feedback.

What are the typical daily responsibilities of a pattern tester?

Pattern Testers spend their days reviewing, constructing, and evaluating patterns—either digitally or by sewing sample garments—to ensure accuracy, usability, and fit. This often involves collaborating closely with pattern designers, providing detailed feedback, documenting issues, and suggesting improvements. Depending on the employer, you might also test instructions for clarity or oversee small test groups to gather broader user feedback. Teamwork and strong documentation skills are important, as your assessments directly impact the quality of the final product released to customers.

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

Strong attention to detail, a solid understanding of pattern making/reading, and familiarity with garment construction are crucial for a Pattern Tester, often supported by experience in textiles or fashion design. Proficiency with digital pattern-making software (such as Adobe Illustrator or CAD programs) and fabric measurement tools is commonly required. Effective communication, problem-solving skills, and the ability to give and accept constructive feedback help Pattern Testers excel. These competencies ensure patterns are accurate, user-friendly, and suitable for production, reducing costly errors in manufacturing.

What are popular job titles related to Pattern Tester jobs in Ohio?

For Pattern Tester jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Pattern Tester job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 57% Physical, 2% Hybrid, and 41% Remote job distribution, with an average salary of $94,014 per year, or $45.2 per hour.

Senior Lead Software Engineer -Java/AWS/Agentic

JPMorgan Chase & Co.

Columbus, OH • On-site

$120 - $190/hr

Other

Re-posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

As a Senior Lead Software Engineer at JPMorganChase within Employee Experience, you are an integral part of an agile team that enhances, builds, and delivers secure, stable, and scalable technology products. You will drive meaningful business outcomes by applying deep technical expertise, strong engineering judgment, and a customer‑focused mindset to solve complex problems across distributed systems, cloud, and artificial intelligence.

Job responsibilities
  • Lead end‑to‑end design and delivery of scalable Java services and APIs, optimizing for performance, resiliency, and maintainability in production environments
  • Architect and implement cloud‑native solutions on Amazon Web Services, applying well‑structured patterns for reliability, observability, and cost‑aware scalability
  • Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering standards that raise quality and accelerate delivery
  • Collaborate with product, design, and data partners to define technical strategies that improve user experience and automate key workflows
  • Build and optimize data pipelines using Databricks and Apache Spark to enable analytics and machine learning workflows at scale
  • Drive engineering excellence across continuous integration and delivery, automated testing, and secure software development practices
  • Drive adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced Java experience, including building Spring Boot–based services in a microservices architecture
  • Experience with Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud)
  • Practical experience delivering system design, application development, automated testing, and operational stability for production systems
  • Hands‑on experience building cloud‑native applications on Amazon Web Services (e.g., compute, storage, database, container, and serverless services)
  • Experience with continuous integration and delivery and modern build/version control practices (e.g., Git, Maven/Gradle, and pipeline automation)
  • Proficiency with automated testing approaches and frameworks (e.g., JUnit and mocking frameworks) and a strong quality‑first mindset
  • Experience with relational databases and SQL, including data modeling and performance considerations for high‑throughput systems
  • Knowledge of messaging and integration patterns, including event streaming technologies such as Kafka
  • Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Preferred qualifications, capabilities, and skills
  • Advanced Python experience for automation, data engineering, or machine learning enablement
  • Experience building and deploying agentic or AI‑assisted workflows, including evaluation and human‑in‑the‑loop validation patterns
  • Experience with infrastructure as code and cloud provisioning automation (e.g., Terraform, CloudFormation, or AWS CDK)
  • Experience with containerization and orchestration (e.g., Docker and Kubernetes) for scalable service operations
  • Experience with CockroachDB and Go (Golang) in distributed system environments
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