Demonstrated proficiency with Git version control systems
Familiarity with microservices design and development patterns
Familiarity with one or more Configuration Management Tools, such as Chef or Ansible
Familiarity with container-based applications (Docker, OpenShift) and Kubernetes management
5+ years of experience with one or more programming languages (e.g. Python, Java, C#, GoLang)
Experience with API design and implementation
Experience developing data solutions with RDBMS (e.g. PostgreSQL, MS SQL Server, MySQL) and NoSQL databases (e.g. Mongo DB, Cassandra, Redis)
Experience supporting code reviews
Experience with Cloud Providers (AWS, GCP, and Azure) preferably AWS
Experience working in a fast-paced agile environment
Experience working in Linux environments
Support design, development, implementation and maintenance recommendations for software systems
Design, code, test, debug and document solutions with direction from senior team members
Ensure compliance with software design, development, testing, integration and sustainment standards
Research technology solutions, prioritize assignments, and work to resolve issues based on customer and business requirements
Ensure that products are designed and developed for scalability, robustness, maintainability, and interoperability
Create, implement and adopt Development Best Practices
TS/SCI clearance required
Evurge Solutions is seeking an experienced cleared (TS/SCI) Software Developer in Chantilly, VA to be a technical member of a solutions team. Candidate will require little guidance, but love to learn, collaborate, and problem solve. This position requires a mid to senior level of experience, a passion for mission support, and a strong desire to solve hard technical, and data challenges.
As a Software Developer, candidate will have the unique opportunity to solve hard problems and help turn complex concepts into reality, to advance and enhance systems supporting the defense of our nation. Candidate will be part of a solutions-oriented, agile SCRUM team designing and developing custom applications and components to support innovative data science capabilities.
The delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. The team will follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to “automate-first”, use modern tech stacks, and constantly challenge each other to grow and improve.