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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

JavaSpringGuavaGitMavenNexus

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Key skills for this role

JavaSpringGuava

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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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