Python Software Engineer
MORSE Corp
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Job Description
MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.
As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.
Responsibilities:Design and develop scalable, efficient, and reliable software applications using Python
Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing
Stay up-to-date with the latest software engineering trends, tools, and technologies
Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment
Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability
US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)
Expertise in Python
Strong understanding of relational databases and version control systems (e.g., Git)
Experience with Docker, Docker-compose, or Kubernetes
Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture
Strong communication skills and self-motivation
Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)
5+ years of software development experience
Experience with cloud computing platforms (AWS, Azure, GCP)
Knowledge of Spark or PySpark
Background in mathematics or computer science
Experience with DevOps tools and practices
Familiarity with containerization technologies
- Experience or desire to lead technical teams
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
Compensation: $90,000 USD - $210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
About The Company
MORSE Corp
MORSE is a specially selected team of scientists, engineers, and software developers who use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem. Based in Cambridge, MA, MORSE is an employee-owned company that provides customer-focused algorithm development, software development, and system integration services for Machine Learning, Artificial Intelligence, Mission Planning, Situational Awareness, Computer Vision, and Manned and Unmanned Aerial Vehicles.
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