Signed in as:
filler@godaddy.com
Open Positions (US Remote and India Remote)
Data Engineer
- Create complex data processing algorithms
- Collaborate with our team of Data Scientists to design scalable implementations
- Write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
Cloud Architect
- Develop and maintain an IT plan to meet our long-term Product strategy
- Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
- Work with cloud vendors to evaluate and select services that can support agile business requirements
- Provide cloud architectural consulting expertise, direction, and assistance to business relationship managers, leadership and solution architects
- Drives cloud standards for adopting cloud services to ensure consistency
- Assist with other projects as may be required to contribute to the efficiency and effectiveness of the product and sales teams
- Work closely with Data Privacy, Security and Networking to ensure compliance of cloud deployments with the company’s policies and procedures
- Assist in determining cloud roles, cost analysis and budget requirements needed to support cloud solution
- Develop in-depth knowledge of company’s existing architecture/infrastructure, and technology portfolio
- Prepare ROI analysis and assist with creating budget proposals to initiate the acquisition of cloud services
- Perform analysis of large-scale, complex, cross-system, cross-platform changes or issues
- Evaluate impact of cloud solutions in the company’s architecture and security
- Develop and maintain understanding of key processes, schedules, cycles, profiles, etc. for the technical systems in use by a customer
- Make presentations to management, clients, and peer groups
AI/ML Engineer
- Understanding business objectives and developing models, along with metrics to track progress
- Managing available resources such as hardware, data, and personnel
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training
- Defining validation strategies
- Defining the preprocessing or feature engineering for a given dataset
- Defining data augmentation pipelines
- Training models and with real time tuning
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
Dev Ops Engineer
- Design, develop and support solutions which facilitate ease of service deployment, availability and operations
- Participate in data center architecture design, implementation automation and support
- Work collaboratively with Customer Service, Software Engineering, and Product Management to resolve complex operational issues
- Provide Documentation to Customer Service on how to resolve complex issues
- Provide support for our customers and internal users, including software engineering, cloud engineering, support engineering, sales and marketing. Including direct interaction with customers and real time problem solving