Application Engineer Iii Jobs in California (NOW HIRING)

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer.As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times' Top Workplaces.

Summary

The Application Engineer III is responsible for maintaining and enhancing existing custom-built and low-code applications across the enterprise. This hybrid role ensures stable day-to-day operation of key applications while contributing to the design and development of new and enhanced solutions. The Engineer III partners with vendors, internal stakeholders, and technical teams to lead technical discussions, troubleshoot issues, improve system performance, and implement moderate-complexity solutions using current cloud platforms and tools. Positions at this level oversee large projects consecutively and support the most complex applications. Serves as a mentor to junior engineers.Application Engineer III Position Manager: The Application Engineer III is responsible for maintaining and enhancing existing custom-built and low-code applications across the enterprise. This hybrid role ensures stable day-to-day operation of key applications while contributing to the design and development of new and enhanced solutions. The Engineer III partners with vendors, internal stakeholders, and technical teams to lead technical discussions, troubleshoot issues, improve system performance, and implement moderate-complexity solutions using current cloud platforms and tools. Positions at this level oversee large projects consecutively and support the most complex applications. Serves as a mentor to junior engineers. The ideal candidatewould possess these top three AI and MLOpscentric skills: 1. Enterprise AI Governance & Systems Administration:Deep understanding of configuring and managing secure, AIenabled enterprise platforms-including model access controls, data governance, and alignment with Moffitt's privacy and compliance frameworks. 2. AI Data Integration & MLOps Pipeline Management:Skill in connecting and maintaining diverse data sources while supporting ML model lifecycle operations, ensuring interoperability, versioning, and monitoring of model performance and reliability. 3. AI Adoption & Enablement:Ability to drive AI literacy and agentic tool usage across teams through welldesigned user experiences, curated AI knowledge, and continuous feedback loops that optimize models and workflows for impact. Responsibilities: Production Support & Issue Resolution: Monitor and support a portfolio of custom and low-code applications to ensure high availability and performance. Resolve complex technical issues, including coordination of other IT teams and vendor resources to quickly resolve high-impact production issues. Investigate, triage, and resolve application issues reported by users or monitoring tools; perform root cause analysis and implement long-term fixes. Collaborate with cloud and infrastructure teams and application developers for performance tuning, deployment issues, and systems monitoring. Maintain incident and change management records in accordance with ITSM standards. Participate in an on-call support rotation for after-hours or critical production issues. Provide deployment support to the development team for assigned applications. Familiarity with Jenkins, Git Actions, Azure DevOps a plus. Monitor application performance and identify areas for improvement. Implement solutions to enhance application scalability, reliability, and user experience. Vendor Coordination & Collaboration: Function as liaison between delivery teams and PaaS and SaaS vendors for issue resolution, service escalations, and platform maintenance. Coordinate and validate vendor-delivered changes, patches, and upgrades to ensure system integrity and business continuity. Maintain current knowledge of platform capabilities across supported releases. Development & Enhancement: Develop new application features or entire applications of moderate complexity using cloud-native technologies (e.g., AWS, Azure) and low-code platforms (e.g., Pega, UiPath, Appian, Microsoft Power Platform). Enhance and refactor existing solutions to improve performance, usability, and maintainability. Write and maintain technical documentation including solution design, configurations, and deployment procedures. Collaborate with business analysts and stakeholders to gather and refine requirements, ensuring solutions align with business objectives. Working knowledge of emerging AI concepts, tools, and capabilities available within current assigned application stacks and platforms. Documentation & Reporting: Maintain comprehensive documentation of application architectures, integration processes, and system configurations. Provide regular updates and reports to stakeholders on project progress and technical challenges. Analysis and Design: Translate documented user stories and requirements into small enhancements or new application features for assigned applications and projects. Interact with analysts and product owners to refine requirements to ensure business needs are met. May provide technical training to end-users. Credentials and Experience: Bachelor's degree - field of study: Computer Science, Information Technology, Engineering, or related discipline 10 years of experience developing and supporting custom built configured application solutions within platforms Extensive experience implementing solutions with low code platforms (e.g. UiPath, Pega, Appian, Power Apps, Power Automate) Proficiency in at least one programming or scripting language (e.g. Python, Java, JavaScript, SQL) Experience with cloud services (e.g AWS, Azure) Proficiency creating and supporting SQL and Oracle databases related to assigned applications Experience with cloud architectures and deploying solutions at scale Experience with microservices architecture, APIs and containerization (e.g. Docker, Kubernetes, FHIR) Familiarity with Agile methodologies and project management tools.

Salary Range

Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.

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