# Cloud Software Engineer Co-op at Meridian Partners > United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Amorsecorpcoop%3A7967614003 (read 2026-11-07). ## Facts (observed) - Company: [Meridian Partners](https://alderhq.app/companies/meridian-partners) - Location text: Cambridge, MA; Cambridge, MA - Where it can be done from (inferred): United States (evidence: "Location: Cambridge, MA; Cambridge, MA") - Posted: 2026-08-25 (74 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/morsecorpcoop/jobs/7967614003 - Skills listed (inferred): Python, AWS, GCP, Azure, Kubernetes, Docker, Terraform ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Boston, n 216): p25 $103k, median $135k, p75 $170k ## Description (the employer's text) 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 Corp is seeking Cloud Software Engineer Co-ops to develop cloud-based software applications to enable our customers to deal with vast amounts of data to plan missions, assess battlefield capabilities, software to test & evaluate AI, and deploy software 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. If you have a broad set of software skills and are interested in building full stack web apps, cloud infrastructure to support AI/ML, building data pipelines, MLOps, and cloud hosted applications then you could be a good match! ### Responsibilities Design and develop scalable, efficient, and reliable software applications using Python Develop and maintain cloud infrastructure using AWS or Azure Oversee the deployment of cloud services and compliance to security guidelines 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 ### Requirements US citizenship and the ability to obtain a U.S. security clearance Working towards a BS or BA degree in Computer Science, Engineering. or related subject Experience with Python Experience working with AWS, Azure or GCP Experience with Terraform or Cloud Formation is nice to have 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 MORSE Corp’s pay 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. Compensation $28—$33 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 while maintaining a collaborative, enjoyable work experience for our employees. For more information, please visit www.morsecorp.com. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amorsecorpcoop%3A7967614003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.