We are looking for an experienced Staff Software Engineer to join our talented, growing team! As a full stack,Staff Software Engineer, one will bring their technical expertise and breadth of experience to conversations. This individual will be a subject matter expert responsible for developing and maintaining functionalities within CDK's AI-driven inventory management system.
Overall, the Staff Software Engineer plays a significant role in developing and maintaining a robust and evolving cloud-based inventory management system with valuable AI features. This individual is key to bridging the gap between AI concepts and practical application, contributing to a more efficient and intelligent SaaS offering for CDK customers.
Responsibilities:
Lead contributor on multi-dimensional, complex projects and initiatives associated with inventory management software
Leads functional teams and projects with complex resource requirements, risks and challenges
Leads and contribute the design and development of large-scale, enterprise-grade software applications using JavaScript frameworks such as Angular, React, Vue.js
Works independently with guidance only in complex situations
Impacts the achievements of customer, operational, project or service objectives across work teams
Develops new concepts, methods, and techniques for cross functional initiatives
Drives timely/quality delivery against business goals, while evangelizing and improving engineering excellence
Solves a variety of highly complex and multifaceted problems within and/or across multiple areas
Uses sophisticated analytical thought and provides unique thought leadership in evaluating issues
Guided by long-term business unit goals and objectives
Determines objectives and approaches to projects across business unit
Mentors and provides specialized technical guidance to others within own function
Partners with functional leadership to influence priorities and objectives
Provides technical expertise to peers in other functions
Collaborate with senior engineers and product managers to understand feature requirements and translate them into technical specifications
Communicate effectively with other software engineers to ensure code consistency and maintain a collaborative development environment
Potentially contribute to technical documentation related to the AI aspects of the inventory management system
Builds and maintains scalable, reliable, and secure software applications in a cloud environment
Demonstrate a strong passion for learning and staying up-to-date with the evolving JavaScript ecosystem and emerging technologies
Ability to build efficient, data-driven artificial intelligence systems that advance predictive analytics and LLM capabilities
Required Qualifications:
Bachelor's degree in related field with 8+ years of progressive programming experience or 10+ years of progressive programming experience, with a strong focus on JavaScript programming
Programming and design experience with proven track record of delivering products in production
Experience with large scale systems along with exposure to E2E design
Proficient with test-driven development and web template technologies
Experience utilizing Agile and Scrum software development methodologies
Ability to document, track and monitor a problem/issue to a timely resolution
Knowledge of operating systems
Collaborative problem-solving ability and self-motivated
Strong verbal and written communication skills along with prioritization of duties
Strongly Preferred Qualifications:
Master's degree in related field with 6+ years of programming experience
Full stack Development: JavaScript, Vue.js, NodeJS
SQL and NoSQL DB
Enterprise Distributed Systems Cloud Native (AWS, GCP, Azure)
Hands-on experience with supervised machine learning techniques (i.e., classification, regression, and feature engineering), including model training, evaluation, and optimization
Knowledge and practical experience in MLOps principles and tools
Familiar with model deployment techniques (e.g., Docker, Kubernetes) and CI/CD pipelines tailored for machine learning models
Experience with data governance and data quality is essential. Familiar with tools and processes for data validation and cleaning
Experience in deploying Machine Learning models into production environments. Knowledge of scalable architectures and cloud computing platforms (e.g., AWS) for deploying and managing Machine Learning applications
Compensation: $145,000 - $180,000
CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.We offer Medical, dental, and vision benefits in addition to:
Paid Time Off (PTO)
401K Matching Program
Tuition Reimbursement
At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.
CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.
Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.