In this role, you will: 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 Required Qualifications: Hands-on knowledge GCP AI Services, Python, Microservices, API, Natural Language Processing (NLP) Hands-on experience in GCP - (DOC AI, Gemini AI, Composer, BigQuery), Python, Jupyter Notebook, Microservices, API. CI/CD and Automation: Jenkins, Maven, Gradle, Gitlab, SonarQube, ArtifactoryOS and Platform OCP, PCF, Kubernetes, Linux, Windows, VMware Working experience in designing, architecting applications for GenAI and the ability to build solutions leveraging Python, GCP services, Microservices, APIs Experience working with analytical use cases. Conceptualizing solutions and driving innovation within the organization. Knowledge of Public Cloud (Google / Azure / Amazon) technologies and services. Experience working with very large data. strong experience with developing analytical data solutions in Python and/or Java. Strong written and verbal communication skills. Strong business partnering skills with resources across the organization in matrixed environment. Strong knowledge of Agile Strong Experience in working with global delivery teams. Strong Experience in establishing end-to-end SDLC practices and DEVOPs Desired Qualifications: Experience with Microsoft SQL Server / Oracle Experience implementing solutions on Public/Private cloud. Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map. Experience with Apache Spark and development experience using Scala / Java / Python. Strong technical and quantitative skills. Strong collaboration and partnering skills
