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Cloud Software Engineer

2 months ago

Lexington, Massachusetts, United States Software Galaxy Systems, LLC Full time
Position Overview:

We are seeking a skilled Software Developer to engage in the research and development of expansive open architecture distributed and cloud-based data processing, analysis, and Artificial Intelligence (AI) initiatives utilizing agile methodologies.

Key Responsibilities:
  • Design and develop software architecture systems with collaborative input.
  • Execute coding, development, implementation, integration, and testing of software systems.
  • Evaluate and enhance existing software applications, ensuring operational efficiency.
  • Document testing processes, client experiences, and maintenance of system corrections.
  • Collaborate with cybersecurity teams to maintain compliance with security standards.
  • Conduct unit tests to ensure software reliability.

Essential Qualifications:
  • Proficient in object-oriented programming.
  • Experience in developing distributed and cloud-based applications.
  • Skilled in creating RESTful and/or SOAP web services.
  • Familiarity with web application server development, particularly using Tomcat.
  • Knowledge of XML technologies, including XSDs, XPATH, and XSLT.
  • Experience with modern development tools such as Eclipse, Maven, Git, and Jenkins.

Preferred Qualifications:
  • Experience in scalable architecture development within cloud environments.
  • Familiarity with commercial cloud platforms like AWS or Azure.
  • Understanding of software lifecycle automation and testing tools.
  • Expertise in high-performance multi-threaded applications.
  • Knowledge of NOSQL database technologies.
  • Familiarity with Big Data technologies such as Spark and Kafka.

Clearance Requirement:

Candidates must possess an active security clearance (secret/top secret) due to the sensitive nature of the projects involved. This is a critical requirement for consideration.

Work Environment:

The position may involve a combination of on-site and remote work, with the frequency determined by organizational needs during the assignment.