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Senior Principal Engineer - 100% US REMOTE

Experian
., ., United States, United StatesRemotefull_timeVerifiedPosted 23 Jan 2024

About the role

Company Description

About us, but we’ll be brief

We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

Experian is looking for an experienced engineer who will play a key role as an aide to the Infrastructure and Development teams. The person in this role will be responsible for implementing solutions to develop tools, standards and services that provide a global platform for services in the cloud. Experian has a long history of innovation in AI/ML across regions and business units. Recent inflections in areas such as Generative AI have increased the demand for faster evaluation and standardization of tools to provide an extensible platform to build proprietary solutions for further innovation. We are looking for an experienced contributor with practical background in supporting that effort alongside other major initiatives that include migration of longstanding big data systems into the cloud. The person in this role will work closely with other teams spanning multiple business units across the globe.

 

Responsibilities
- Lead global teams to effectively handle design discussions with business, software developers and platform engineers.
- Hands-On active collaboration as core member of a software engineering team
- Translate business requirements and logical designs into working physical platform designs
- Work collaboratively with all levels of technical and senior business management, including engineers and scientists across regions and business units
- Involve in design discussions with business, software developers and platform engineers to deliver technical solutions.
- Work with architecture/engineering and other teams to proactively improve the evolving environment based on specifications and business requirements.
- Interface with infrastructure, network, security and operations teams to resolve problems with applications/Big Data systems.
- Design and implement technical solutions for data ingestion, cleansing, transformation and storage
- Design and implement analytical experiments, machine learning techniques, predictive modeling, and data mining to help solve business problems across global business units.
- Contributor to productizing complex modeling/machine learning project, POCs and new product development, including design, coding and model deployment
- Problem solving with scientific rigor that results in precise and reproducible outcomes
- Exploration of novel and innovative technologies to enhance existing products and shape new products
- Ability and willingness to document, summarize and communicate development results to stakeholders

Qualifications

Required
- Typically requires a bachelor's degree (in Computer Science or related field) or equivalent, overall 15+ years of IT and 10+ years of related experience in open platforms technologies.
- Demonstration of innovative/novel technical contribution in previous roles
- Proficiency in multiple programming or scripting languages
- Experience in AWS Cloud Services
- Experience in various Big data technologies such as Cassandra, DynamoDB, Kafka, Spark, Hadoop
- Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, SQS.
- Experience with server-side development of APIs
- Experience in SQL and NoSQL based data access and management 
- Knowledgeable and experienced with software and system patterns and their application in prior work
- Strong Problem Solving and creative thinking skills
- Comfortable in a dynamic environment, with ability and willingness to adapt to various technologies
- Effective oral and written communications
- Ability to handle conflicting priorities
- Ability to learn
- Adaptability
- Receptive to change
- Ability to communicate with business users at all levels
- Analytical skills
- Self-motivated and pro-active

 

Highly Preferred
- Experience with large data architectures including Spark, Hadoop, or similar technologies
- Experience with modern tools and architectures in Generative AI including OpenAI, Langchain and Hugging Face
- Experience leading engineering teams to move AI/ML solutions into production.
- Experience with cloud-based platforms for machine learning and data processing

 

Role Dimensions
- Ensuring high availability for platforms for service excellence.
- Customer Service
- Teamwork
- Knowledge
- Strong strategic process and procedure methodology with attention to maintaining robust aud

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Company

Experian

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