Director - Senior System Architect

Director - Senior System Architect

Moodys Analytics
7-10 years
Not Specified

Job Description


Job Description
Role & Responsibilities:
The Systems / DevOps / Full-Stack / Cloud Engineer is a core member of the Moodys Analytics Artificial Intelligence-Machine Learning team. The Systems Engineer will integrate, implement , deploy, upgrade, and maintain operational systems engineering, infrastructure, and middleware solutions for Machine Learning, AI models that will advance Moodys Analytics capabilities across multiple business lines.
The candidate's responsibilities include all of the following:
. Transform ML and data science prototypes into production-scale solutions
. Maintain, operationalize, and upgrade highly scalable offline machine-learning systems engineering pipelines and online serving components to process large-scale data by leveraging state-of-the-art technology
. Maintain and operationalize scalable machine-learning infrastructure to help better transition ML model prototypes to scalable environments for production and operations
. Integrate ML prototypes by APIs and secure messaging protocols
. Apply DevOps and MLOps principles to iteratively deploy and scale complex machine-learning models and infrastructure, and integrate and maintain end-to-end solutions
. Be aware of emerging agile best practices to systems and software solutions, and be conversant with latest developments in these fields
. Integrate, operationalize and maintain micro services based infrastructures for large scale machine learning
. Develop APIs and SDKs for interfacing between middleware architecture and machine learning models
. Full-stack engineering enabling integration of back-end databases, middleware ML , and front-end UI / API components
. Manage deployment of ML model updates and production system upgrades
. Use DevOps and Agile best practices to roll out, upgrade, maintain and productionize new ML systems and products
. Discuss, suggest, and brainstorm new advanced technology solutions with team members
. Explain complex systems engineering models to non-experts, in layperson terminology to stakeholders and managers, while also being able to discuss intricacies of complex systems with experts in the field
Qualifications
REQUIRED QUALIFICATIONS
. Expertise (7+ years experience) with running, maintaining and upgrading production systems using Hadoop , Spark, and another distributed computing systems
. Expertise (7+ years experience) with cloud frameworks - AWS, Azure
. Strong Familiarity with AWS services such as EC2, SNS, SQS, Kinesis
. At least 10 years hands on integration and development experience in Java, C++, Scala or other mainstream languages
. At least 10 years experience developing, maintaining, and upgrading production systems at scale
. Full-stack engineering and integration experience with back-end databases, middleware, and front-end UI / API components
. Solid experience with Event-driven Micro Service pipelines
. Experience with Publish/Subscribe Infrastructure like Kafka
. Deep expertise with Kubernetes and Docker frameworks
. Experience with SQL and Non-SQL Database Coding, and ElasticSearch
. Strong Full-stack Web development skills and system administration experience
. Experience with version control, artifact repositories
. Strong Interest in Machine Learning
. Experience with developing APIs and SDKs for interfacing between middleware architecture and machine learning models
. 10+ years programming experience with writing complex programs and implementing custom system engineering solutions in multiple environments.
. Excellent communication skills (oral and written) to explain complex systems, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Job Details

Employment Types:

Function:

IT

Moody's (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com . Moody's Analytics provides financial intelligence and analytical tools supporting our clients' growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today's business leaders confidently navigate an evolving marketplace. Department The Predictive Analytics group transforms our data into state-of-the-art analytics to help clients make better decisions in the face of uncertainty. Our clients come from a wide range of industries such as banking, insurance, commercial real estate and many more. They use our economic research to evaluate credit-worthiness, to monitor risks and opportunities when weighing up major investment decisions as part of their corporate strategy. Our team is made up of intellectually curious economists, data scientists, and IT professionals who combine technical skills with a strong desire to understand clients' needs.

Job Source : careers.moodys.com

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