Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Required Qualifications:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of hands-on software engineering experience across Oracle, SQL Server, Python, Java/Spring
5+ years of DevOps experience with CI/CD, Kubernetes, Docker, OpenShift, Gradle, Jenkins, uDeploy, and/or Harness
5+ years of software testing experience, including JUnit and automated testing practices
5+ years of experience working within Agile software development lifecycle environments
Desired Qualifications:
Demonstrated expertise architecting scalable, resilient, maintainable, and production-ready enterprise applications
Experience defining observability, logging, monitoring, exception handling, and production support strategies
Experience designing integrations that support data reliability, metadata delivery, traceability, and completeness
Experience with ETL processes, tools, and data integration workflows
Experience with AutoSys or similar enterprise workload scheduling technologies
Demonstrated success modernizing applications, reducing technical debt, and improving scalability, resiliency, and maintainability
Experience using AI-assisted development tools across the software development lifecycle to improve engineering productivity, quality, or delivery
Demonstrated technical leadership, including leading complex architecture decisions, evaluating technical tradeoffs, mentoring engineers, and influencing engineering standards across teams
Ability to translate complex business, risk, and regulatory needs into sustainable technical solutions