5-7 years of experience in Application and Solutions Engineering
Strong knowledge of technical innovations and best practices in software development
Proven experience in building strategies for application ecosystems
Familiarity with cloud-first, API-first, and open-source methodologies
Experience in building UI component libraries and working with microservices architecture
Ability to lead and mentor Full Stack Engineers in best practices
Responsibilities
Provide technical leadership for the Data and Solution Engineering group
Develop an Application ecosystem strategy collaborating with various stakeholders
Drive the completion of a reusable UI component library
Identify key industry trends and technologies for adoption
Improve Application Architecture leveraging modern patterns
Ensure consistency and innovation in technical choices across disciplines
Facilitate the integration of diverse data through applications
Benefits
Strong emphasis on collaboration and mentoring within engineering teams
Opportunity to influence innovative technical decisions across various scientific groups
Work in a culture that prioritizes impact, diversity, and scientific excellence
Involvement with cutting-edge advancements in AI and machine learning
Building partnerships with leaders and stakeholders in a research-intensive environment
Full Job Description
Job Description:
Provide technical leadership around Application and Solutions Engineering for Data and Solution Engineering group and more broadly as appropriate
Build the Application ecosystem strategy for Catalysts Organization in close collaboration with partners and stakeholders
Drive alignment and own completion of a UI component library which can be leveraged to create delightful user interfaces and experiences for our stakeholders and drive consolidation and deprecation of legacy applications and systems and reduction of tech Debt
Identifying key trends, technologies, methodologies and influence there adoption by taking an Open Source focused, Cloud first, API first and AI first approach
Learn, deeply understand and ultimately improve our Application Architecture and ecosystem by leveraging standard patterns like layered architecture, microservices, event-driven, multi-tenancy etc
Responsible for ensuring our technical choices are innovative, best-in-class and are inter-operable and consistent across gCS, Research Biology, Drug Discovery, Translational Medicine, Development Sciences and beyond
Understand and influence technical decisions around application development , application ecosystem while working collaboratively with our key partners
Deliver on the goal of bringing diverse sets of data together through Applications to support a wide range of activities such as AI/ML, search, reporting, and analytics
Building a strong and collaborative community of Full Stack Engineers with a strong focus on mentoring, standardization and best practices (CI/CD, coding standards, code reviews, testing and more)
Facilitate the implementation of large-scale models that take advantage of advances in machine learning and artificial intelligence
Establish and foster strong internal and external partnerships and relationships with leaders and stakeholders in Computational Catalysts, gCS and beyond
Lead by example to establish and demonstrate the culture and working environment of this new organization aligned with our gCS values: impact, collaboration, diversity, scientific excellence and curiosity
