Top Entry Level Python Jobs

As a Test Engineer at Ninja, you will own testing activities for products, create test plans, coordinate with teams, design test fixtures, automate testing, and report results. You will also engage in physical and software product testing and document protocols.

As a Lead Architect at JPMorgan Chase, you will be responsible for developing high-quality architecture solutions for software applications on modern cloud-based technologies. You will engage with technical teams and business stakeholders to drive technical strategies and solutions. The role also involves hands-on development, code review, and evaluation of new technologies.

As a Software Engineer at Datadog, you'll help with collecting, aggregating, visualizing, and analyzing metrics and application data. Responsibilities include solving scaling bottlenecks, deploying features, fixing production issues, and optimizing services. You'll collaborate with a team to plan important projects and work on large-scale systems.

As an entry-level Software Engineer, you will develop and maintain internal tools and APIs, collaborating with team members to deliver features in an agile environment while enhancing user experiences for Disney+ and Hulu.

The Software Engineer will create high-quality software solutions, collaborating with teams to meet business needs. Responsibilities include technical design, coding, testing, and enhancing solutions while reducing technical debt and improving team processes.

As a Software Engineer New Grad at SeatGeek, you will tackle unique customer problems and develop software solutions using cutting-edge technologies in cloud computing, web, and mobile. You will work in teams to enhance a many-sided marketplace, improve user interfaces, and help scale software as the business grows, all while being mentored by seasoned engineers.

As a Data Integration Engineer, you will ensure accurate and complete client data for data science models, support merchant integrations, create tailored data templates, write scripts for data validation, manage configuration layers, and collaborate with various teams on data issues and solutions.