Top Entry Level QA Engineer Jobs in Pittsburgh, PA

The Machine Learning Engineer I develops and implements machine learning models, focusing on transforming prototypes into scalable solutions. Responsibilities include model deployment, data preparation, optimization, collaboration with product teams, and ensuring model performance in production environments.

In this role, you will develop and support REST APIs, GraphQL endpoints, and microservices in a cloud-native environment using Java. You will also maintain data pipelines ensuring data quality. Collaborating in a dynamic team, you will be involved in innovative solutions and modern design patterns.

SeatGeek is looking for Software Engineers to join their R&D team. Responsibilities include running a modern architecture, shipping code to production, solving performance problems, building user interfaces, and evaluating new technologies. The tech stack includes Python, Go, C#, .NET Core, Postgres, Redis, Elasticsearch, AWS, Gitlab, React+Typescript, Swift, and Kotlin.

As a Software Engineer at Multi Media, LLC, you will be responsible for web development and system design, contributing to innovative user experiences on their platforms. You will make key technical decisions and collaborate with teammates to enhance product quality.

Join Trumid as a Senior Platform Engineer to drive expansion into new geographies and asset classes, ensuring seamless integration of trading protocols. Must have expertise in functional programming (Scala) and messaging technologies. Responsibilities include designing innovative protocols, optimizing system performance, and more. Remote-first work environment with competitive compensation and benefits.

As a Software Engineer, you will engage in the full software development lifecycle for a Commercial Lines insurance software product, participating in agile sprints, designing web-based solutions, implementing RESTful services, and ensuring scalability and security in the tech stack.

As a Solutions Architect II at Hypori, you will lead the implementation and administration of complex cloud-based systems, ensuring scalability and efficiency. Required skills include DevOps practices, CI/CD tools, Terraform, Ansible, Docker, Kubernetes, and expertise in AWS cloud environments.