Description
We have an immediate need for a Full Stack Developer to provide Agile DevOps support to mission critical systems. As a Full Stack Developer on this program, you will have the opportunity to build strong systems, software, and cloud environments and provide operations and maintenance for critical systems.
The selected candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications, participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding and unit testing
Primary Responsibilities:
• Participate in software programming initiatives to support innovation and enhancement, using some or all of HTML, CSS, JavaScript, Angular, Java, Python, and C#
• Develop and integrate custom software solutions to leverage automated deployment technologies
• Develop, prototype and deploy solutions within Commercial Cloud Solutions leveraging Infrastructure platform services
• Coordinate closely with team members, Product Owners and Scrum Masters to ensure User Story alignment and implementation to customer use cases
• Analyze and effectively coordinate Infrastructure needs driven by software architecture to meet customer mission needs
• Support the Agile software development lifecycle practices, while understanding that customers and decision makers may still “think” in Waterfall, and be comfortable bridging that gap
• Use industry leading DevOps tools like GitLab, Docker, and Kubernetes
• Document and perform systems software development, including deployment of build artifacts using CI/DC pipelines
• Communicate key project data to team members and build team cohesion and effectiveness
• Leverage Atlassian tool suite like JIRA and Confluence to track activities
• Apply and identify best practices and standard operating procedures
• Create innovative solutions to meet the technical needs of customers
Required Education, Skills, and Experience:
Bachelors with 8+ years of prior relevant experience or Masters with 6+ of prior relevant experience. Additional years of experience can be accepted in lieu of a degree.
Awareness of industry trends in AI (Large Language Models, Computer Vision, Machine Learning, etc.)
Proficient with common Agile practices, service-orientated environments, and development practices
Significant use and experience with Python, JavaScript
Significant experience in the software development lifecycle, with experience delivering within DevOps toolsets/practices
Experience utilizing software testing performance tools
Significant experience working in an Agile development environment and tempo
Significant experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure)
Experience with development leveraging cloud data services (ex: S3, RDS, EFS)
Well versed with using version control systems
Well versed with using issue/problem tracking systems
Clearance Requirement: Candidate must possess at a minimum an active and in scope Top Secret clearance and be eligible to obtain SCI with Polygraph (active or reactivatable). This requires US citizenship.
Preferred Qualifications and Key Skills for Success:
Excellent communication skills (written and verbal)
Experience working AI projects (personal or professional)
Experience working on the customer's systems
Understanding of the customer's system development policies
Experience with structured analysis and design methodologies
Original Posting Date:
2024-04-10
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $101,400.00 - $183,300.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.