Mechanical Orchard - Software Engineer [New Grads Welcome]
Requirements
• Have a Bachelor's, or Master's in Computer Science, Engineering or a related technical field • Strong analytical skills and attention to detail • Comfortable with pair programming, Mechanical Orchard’s default mode of working together • Ability to learn new software and technologies quickly • Passionate about generative AI and/or data engineering • 1 to 4 years of software engineering experience through previous internships or co-op programs, work experience, coding competitions, publications, etc. • Comfortable in both application development and research environments • Has exposure or passion for XP practices such as pair programming and test driven development • Comfortable as a full stack developer, and have expertise in at least one modern programming language and application framework • Strong communication and collaboration skills as well as empathy are essential for working closely with the development team, customers, and others at Mechanical Orchard. • Please Note: The appropriate role level and compensation will be determined at the time of offer, following completion of the full interview process, based on an assessment of the candidate’s qualifications, experience, and demonstrated skills.
Responsibilities
• Work as part of small, cross functional XP teams building advanced technology for customers or for Mechanical Orchard using a variety of modern programming languages • Pair program with other engineers and collaborate closely with other roles such as product managers and designers • Learn and apply XP engineering practices such pair programming, test-driven development, refactoring, continuous integration and continuous delivery • Operate and support production applications as a team in the context of the agile DevSecOps model • Collaborate on technical discovery efforts for existing customer systems including legacy applications • Continuously learn about relevant emerging technologies or practices and foster the growth of the organization through mentorship, tech talks, and other means • Contribute to research efforts using the latest technologies in generative AI and data engineering
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