Python Software Engineer Graduate Co-op

MORSE Corp is seeking Python Software Engineer Co-ops to develop software to test, evaluate, and deploy machine learning at scale. Experience with a broad range of development stacks is highly desired. Candidate should be a highly motivated self-starter with good communication skills and should be able to work in an iterative and agile development style.

Responsibilities

Assisting in the development of custom software packages and full stack applications/tools for a variety of DoD customers; Build, automate, and optimize big data pipelines and supporting software for analysis and the test and evaluation of machine learning models at scale; Perform backend development for web platforms, data engineering for our T&E pipelines, leverage AWS or Azure tools to improve our deployments, and various DevSecOps tasks; Developing software solutions for the analysis of complex/big data problems; Collaborate with cross-functional teams to define, design, and ship new features; Continuously discover, evaluate, and implement new technologies to maximize development efficiency; Participate in code reviews, providing good feedback on code you review, as well as being receptive to feedback on your code; Working with and integrating the latest open-source software tools & algorithms to solve novel and challenging problems; Developing software within and for Cloud environments; Customer interaction, including opportunities to present your work

Requirements

US Citizenship required and ability to obtain a US Security Clearance; Working towards a MS degree in Computer Science, Engineering or related subject; Working knowledge of the general software application development architectures, trends, and emerging technologies; Experience with Python; Solid understanding of version control systems (we use Git); Good communication skills and the ability to have fun when working; Highly motivated self-starter; Ability to work in an iterative and agile development style

Nice to have

Experience with Docker; Experience with Spark; Experience with a broad range of development stacks