#210694649
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Strong experience as Agility Lead.
Possess advanced knowledge of multiple product development lifecycle stages, methodologies, and best practices, enabling effective guidance and support for teams
Display advanced knowledge of agile delivery and multiple agile approaches, including Scrum, Kanban, Extreme Programming (XP), and scaling frameworks, monitoring agility metrics; with the ability to guide teams through complex projects, emphasizing iterative progress and adaptability
Possess excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at various levels within the organization, effectively guiding group discussions and decision-making processes within the domain context
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills