Benchmark IT - Technology Talent

Senior Software Engineer (UI) - Dashboard Team Company Overview: Our client is looking for a Software Engineer with Kubernetes and MLOps (Machine Learning) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI.. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the AI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. Role Overview:  As a UI developer for one of the OpenShift AI teams, you will have the opportunity to actively participate in one of the component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions, and partner technologies into a cohesive platform. Working with teams to build end user experiences that delight customers should energize you. This position follows a hybrid work model, requiring 3 days per week on-site at one of the following locations: Boston, MA (preferred), Lowell, MA, or Raleigh, NC.  What you will do

• Contribute to the architecture, design, development, and testing of new features and solutions for AI

• Innovate in the MLOps domain by participating in upstream communities

• Ensure non-functional requirements including security, resiliency, and maintainability are met

• Write unit and integration tests and work with quality engineers to ensure product quality

• Use CI/CD best practices to deliver solutions as productization efforts into AI

• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

• Utilize a pattern library and wireframes from user experience design counterparts to design and execute an ideal UI implementation for end users

• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

• Give thoughtful and prompt code reviews

• Represent AI in external engagements including industry events, customer meetings, and open source communities

• Mentor and guide other engineers

What you will bring

• Strong experience developing applications in React, Typescript, and JavaScript or other frontend languages

• Strong experience with modern CSS frameworks and best practices

• Strong experience with testing frameworks such as Cypress, Jest, or React Testing Library

• Strong experience leading feature development, breaking down wireframes into components, and putting together a plan for implementation

• Ability to quickly learn and guide others on using new tools and technologies

• Experience with source code management tools such as Git

• Innovation skills and a passion for technology

• A proven record of being able to troubleshoot problems at a system level quickly and suggesting solutions that improve the overall experience of the system.

• Autonomous work ethic, thriving in a dynamic, fast-paced environment.

• Experience with agile development and open source projects 

• Experience mentoring junior developers

• Excellent cross-team communication experience

• Excellent written and verbal communication skills

The following will be considered a plus:

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Understanding of how Open Source and Free Software communities work

• Experience with Kubernetes, OpenShift or other cloud-native technologies

• Knowledge or experience working with MLOps and AI technologies

This position follows a hybrid work model, requiring 3 days per week on-site at one of the following locations: Boston, MA (preferred), Lowell, MA, or Raleigh, NC.  Ready to advance AI innovation and make a meaningful impact? Apply today and join a team pushing the boundaries of hybrid cloud MLOps!