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Software Engineer

The Swift Group
Columbia, USA
Full-time
Mid · 3+ years experience
Onsite
USD 49996.8-290004 yearly / year
Discovered 1 weeks ago
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  • Design, develop, and maintain scalable Java-based applications using modern frameworks such as Spring
  • Collaborate with cross-functional teams to develop and integrate RESTful web services and microservices solutions
  • Troubleshoot and resolve issues in complex distributed systems
  • Participate in all phases of the software development lifecycle including planning, development, testing, and deployment
  • Contribute to Agile development activities including daily standups, sprint planning, and more
  • Develop and maintain software documentation and configuration using tools like Git, Maven, and Nexus
  • Bachelor’s degree in Computer Science or related field
  • Mid-level candidates: 3-8 years of relevant experience
  • Senior-level candidates: 9-13 years of relevant experience
  • SME-level candidates: 14+ years of relevant experience
  • Proficient in Java and modern Java libraries/frameworks (e.g., Spring, Guava)
  • Strong experience with RESTful web services, microservices architecture, and enterprise API design
  • Solid understanding of Object-Oriented Programming (OOP) principles
  • Experience developing in Linux-based environments
  • Familiarity with configuration and build tools such as Git, Maven, and Nexus
  • Working knowledge of Agile methodologies and associated toolsets (e.g., JIRA, Confluence)
  • Must have a DoD 8140 / 8570 compliance certification (e.g. Security+)
  • Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our office. However, flexibility is essential to accommodate any changes in the schedule
  • US citizenship and an active Secret clearance; will accept higher clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph
  • Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) –
  • Hands-on experience with cloud platforms such as AWS or Azure
  • Familiarity with containerization and orchestration (e.g., Docker, Kubernetes)
  • Experience with NoSQL databases and full-text search engines (e.g., MongoDB, Elasticsearch, Solr) –
  • Scripting proficiency (e.g., Python, Bash)
  • Exposure to Big Data platforms and secure data processing architectures

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