Software Engineer [$224k/yr+]

SYSTOLIC, INC.

Annapolis Junction, MD, United States

29 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$224,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Testing (Software) Clean Code Principles Java (Programming Language) Agile Methodology Amazon Web Services Microsoft Azure Big Data Cloud Computing Continuous Delivery Continuous Integration Programming Tools Elasticsearch

+19 more

Spring Framework Apache Maven MongoDB Cisco Nexus Switches Scrum Methodology Software Configuration Management Software Engineering Software Systems Web Services Data Storage Technologies Git Kotlin Build Management Linux Development Atlassian Tools Restful APIs Docker Programming Languages Microservices

Job description

Develop and implement complex software capabilities for advanced computer-based systems.
Utilize expertise in modern programming languages and frameworks including Java, Kotlin, and Spring.
Design and build robust web services, including Restful Web Services, and microservices architectures.
Contribute to all phases of the software development life cycle within Agile methodologies.
Leverage a comprehensive suite of development tools, cloud platforms, and big data technologies., * Implement solutions using Java and Kotlin with the Spring framework.
Develop and integrate Web Services and Restful Web Services, including Microservices architecture.
Apply Agile/Scrum methodologies for efficient software development.
Perform software testing and ensure high-quality code.
Utilize Software Configuration Management tools such as Git, Nexus, and Maven.
Implement and manage Continuous Integration/Continuous Delivery (CI/CD) practices.
Leverage cloud platforms including AWS and Microsoft Azure.
Work with data storage solutions like Elasticsearch and MongoDB.
Deploy and manage applications using Docker and Kubernetes.
Experience with Big Data platforms and cloud repositories.
Collaborate effectively using JIRA and Confluence for project management and documentation.
Operate proficiently within a Linux development environment.